Snowflake at Stoweflake

Snowflake at Stoweflake

Every year the World Wide Data Vault Consortium (WWDVC) gets better and better! This year’s event was the 4th Annual and was again held at the lovely Stoweflake Mountain Lodge in Stowe, Vermont. And once again this year, my employer, Snowflake Computing, was a proud sponsor of the event. This year I even got to […]
Big Data Survey 2017

Big Data Survey 2017

For the third consecutive year, trade show Big Data Expo and the data consultants of GoDataDriven, together with various media partners, conduct a large-scale international survey to research how organizations leverage data. Besides insights in the trends in the field of data, technology, and the data-driven organization, Big Data Survey also researches if organizations are ready for the GDPR legislation which will take effect in 2018.

Participate in Big Data Survey

Last year, the report received international acclaim for the crisp design and comprehensiveness. Participants receive the full report free of charge.

Are Organizations Able to Extract Value From Data?

Big Data Survey researches the use of Big Data within organizations across various countries. One of last year’s conclusions was that, despite budget being available for projects, the expectation towards the value of data were less hyped than the year before. Predominantly this was because organizations came to the conclusion that success with data does not come by itself. Instead, it is a matter of experimenting and learning. Big Data Survey aims at answering the question if organizations have been able to successfully introduce a data-driven approach. Participate in Big Data Survey

The Knowledge Impairment

Building up a data science team was one of 2016’s challenges. The ...


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2017 Teradata Influencer Summit: Blending In on the New Management Era

2017 Teradata Influencer Summit: Blending In on the New Management Era

A couple of weeks ago I was fortunate to be invited to attend the 2017 influencer summit event in the beautiful venue chosen by Teradata in La Joya, California. Aside from the beautiful venue, a great event took place, one which was insightful, interesting and, well fun. A confirmation of Teradata’s evolution in both technical and b
usiness sides and a confirmation that the IT and software industry have radically changed in the last couple of years.

Since last year’s partners Conference and influencer events, Teradata keeps moving forward with its evolutive process to adapt to the new business and technical dynamics of the market. These year’s event allowed analysts, pundits and influencers alike to have a glimpse of what Teradata is doing to deliver value to customers and new customers.

More Analytics, More Integration, More Scale...

In its continuous effort Teradata is making sure its offerings are available in all shapes and forms, more precisely, in all major Cloud and on-premises flavors as part of Teradata’s everywhere strategy. This includes launching Teradata in the Azure marketplace, and increasing geographic coverage for its own Manage Cloud. In the same pace, the company is also working to rapidly adjust to business and industry changes to continuously improve solution delivery and services.

Right from the get-go John Dining, Teradata’s Executive Vice President & Chief Business Officer, gave us a clear overview the enterprise analytics and data management software provider is working on different strategic paths to ensure the company remains a top of its industry market segment.

John Dining presenting at Teradat's 2017 Influencer Summit Event

One key and noteworthy aspect of this overall strategy is Teradata’s bold approach and continuing effort to match its product development with the creation of a business coherent proposal via three areas:


  • Reinforcing its multi-genre analytics strategy, which means widening the offering of analytics capabilities to strengthen user’s capabilities in areas such as text, path and graph analysis, among others.
  • Boldening Teradata’s power to perform more versatile and flexible data movement and integration operations to support an increasing number of sources and complex operations with data. This includes increasing Teradata’s ability to incorporate intelligence and automation for data management operations as well as developing vertical solutions for specific areas such as communications, finance or lines of business like marketing and devops.
  • Increasing Teradata’s ability to scale according with customer's’ needs, especially for those with big data management demands.

One important takeaway here in my view is Teradata’s clear path from a technical perspective, focusing on real technical challenges to be addressed by a majority of organizations and yet, at the same time, changing its message to be less technical and more business oriented to provide clarity especially to the enterprise market, a market they know perfectly well.

Blended Architectures are in the Future Oh! and Yes, they Need Service

In a time where organizations seem to be increasingly reluctant to invest in consulting services and keen to look for vanilla deployment solutions, Teradata seems to be taking a more realistic approach.

On one hand, by putting specific measures to reinforce its services business, and on the other, by clearly acknowledging that blended architectures and hybrid deployments will be the norm in the following years or at least for the time being, which means having high quality consulting and services can be key to ensure success, especially in complex analytics deployment scenarios.

Aside from their incumbent software solutions, by taking aim to restructure its service and consulting areas, Teradata aims to have a better position to act upon these complex deployments that require specialized services.

According to Teradata, the company has been working to consolidate its services areas, via important acquisitions in the likes of ThinkBig, Claraview and BigData Partnership, as well as working to integrate them into a coherent service model, its Teradata Global Services Initiative.

The initiative is prepared on three main areas through:


  • Think Big Analytics, the global analytics consultancy group group leading with expertise in areas such as data science, solution development and data visualization for different industries and functions.
  • Enterprise Data Consulting, the technology-enabled group with strong expertise on analytical ecosystems, providing services ranging from architecture, data management & governance, managed services, as well as security 
  • Customer Services, the group responsible for providing value and availability of analytic platforms via change management services, and with expertise in systems and software management 

The strategy seems to be well complemented with the inclusion of a complete business value framework that, asides from a comprehensive analytics strategy for customers, education and the inclusion of Teradata’s Rapid Consulting Engagement (RACE) strategy, is aimed to help customers leverage comprehensive solution in a matter of weeks and providing “agile� development models for is customers.



Teradata’s approach seem to make perfect sense, enabling the company to grow efficiently on the technology side, especially towards a hybrid cloud approach while ensuring the offering of high quality consulting services.

Now, can this approach carry challenges for the company?

It is possible, perhaps one challenge for Teradata will be to ensure successful delivery, especially in areas where being “agile� is a must, especially talking about big data and data science projects which more often than not tend to require fast times to deployment so, Teradata will need to make sure consulting, educational and all service offerings are fine tuned, and in tune with its software and hardware offerings own evolution.

For this then, the company is working to consolidate its technical and business messaging to the company’s strategy towards: the offering of hybrid cloud Solutions, business analytics solutions and full fledged ecosystem architecture consulting.

So, part of his strategy includes, aside from reinforcing its go to cloud strategy, accelerating its existing release calendar to offer three major release a year for its flagship product Teradata Database, reinforcing its Intelliflex data warehouse appliance with new functionality and the launch of Teradata Intellibase, Teradata’s compact environment for data warehousing and continued evolution of Intellicloud, the company’s secure managed cloud offering.

So, on the Big Picture...

Many more things happened and were revealed by Teradata, both publicly and under disclosure, but from a personal view, what still sticks with me as the relevant story is how Teradata is managing to keep its transformation at a pace and form that continuous to have a fine balance between its more “traditional� data management customers and its new customers to ensure both offerings ranging in the “typical� data warehousing and analytics space and those that require innovation via new advanced analytics and big data ecosystems.

Challenges may still wait ahead for Teradata due to an increased and more fierce competition but the data warehousing company seems to be adapting well to the new data management era.



New Snowflake features released in Q1’17

New Snowflake features released in Q1’17

This post provides an overview of the major new Snowflake features we released during Q1 of this year, and highlights the main value they provide.
How to Start Incorporating Machine Learning in Enterprises

How to Start Incorporating Machine Learning in Enterprises

The world is long past the Industrial Revolution, and now we are experiencing an era of Digital Revolution. Machine Learning, Artificial Intelligence, and Big Data Analysis are the reality of today’s world.

I recently had a chance to talk to Ciaran Dynes, Senior Vice President of Products at Talend and Justin Mullen, Managing Director at Datalytyx. Talend is a software integration vendor that provides Big Data solutions to enterprises, and Datalytyx is a leading provider of big data engineering, data analytics, and cloud solutions, enabling faster, more effective, and more profitable decision-making throughout an enterprise.

The Evolution of Big Data Operations

To understand more about the evolution of big data operations, I asked Justin Mullen about the challenges his company faced five years ago and why they were looking for modern integration platforms. He responded with, “We faced similar challenges to what our customers were facing. Before Big Data analytics, it was what I call ‘Difficult Data analytics.’ There was a lot of manual aggregation and crunching of data from largely on premise systems. And then the biggest challenge that we probably faced was centralizing and trusting the data before applying the different analytical algorithms available to analyze the raw data and visualize the results in ...


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Learning about Blockchain and relevance to Analytics leaders (part 1)

Learning about Blockchain and relevance to Analytics leaders (part 1)

This week, I had the pleasure of attending #CityChain17 (blockchain conference) at IBM’s SouthBank offices.

Chaired by Paul Forrest (chairman of MBN Solutions), this was an opportunity to learn about Blockchain and how it is being applied.

In the past, I viewed the hype about Blockchain (following excitement about Bitcoin its most famous user) as just another fad that might pass.

However, as more businesses have got involved in piloting potential applications, it’s become obvious that there really is something in this – even if its’ manifestations are now much more commercial than the hacking by Bitcoin fans.

CityChain17 brought together a number of suppliers & those helping shape the industry. It was a great opportunity to hear, at times contradictory, voices and see what progress has been made toward ‘mainstream adoption’. There was so much useful content that I made copious notes & will share a series of two blog posts on this topic.

So, without further ado, as a new topic for our blog, here is part 1 of my recollections from this blockchain conference.

Introducing Blockchain & why it matters

The first speaker was John McLean from IBM. He reviewed the need businesses have for a solution to the problem of increasingly complex business & market networks, with the need to securely exchange assets, ...


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Will We Soon See Augmented Reality Boom?

Will We Soon See Augmented Reality Boom?

Technological innovations never cease to amaze people and it seems that technology will never run out of ways to surprise the world. Technologies such as augmented reality (AR) and virtual reality (VR) have been around for some time now. However, it was never a question about "if" but "when" will this technology create the next boom.

Well, that time is certainly upon us now, as the Apple kicks things off with their AR platform called ARKit, which they announced at their Worldwide Developer Conference (WWDC 2017). We have seen the AR's attempt at a "grand entrance" with the release of Pokémon Go app, but the hype died down after less than a year. Still, the idea remained and it seems that this year, AR technology will make its way into our lives.

Apple's AR frontier

ARKit is the newest tool from Apple, that will help developers build AR into their apps. The technology revolves around motion sensors and already built-in graphics and processing modules inside the existing iPhones and iPads. This new AR platform will revolutionize the way digital content is brought into the real world and it will give people a whole new experience when using AR technology.

On one of the demos, ...


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FastChangeCo – A Fictitious Company

FastChangeCo – A Fictitious Company

The company FastChangeCo is a fictitious company I developed in 2015 to illustrate problems, challenges and opportunities our customer had in their projects. I used FastChangeCo successfully during my talks, workshops, trainings, coaching and projects.

FastChangeCo is a company founded in the early 20th century. Today, we would say it was a Start Up. The founder, Mr. Fast, had great ideas for building assembly lines which came up in the early 20th century used by Ford and others. During the following decades his company grew to become a big player in the nineties of the last century.
Nowadays, FastChangeCo has thousands of employees and thousands of products in different industries and billions of revenue.

How Is Cloud Data Influencing The Transportation Industry

How Is Cloud Data Influencing The Transportation Industry

Cloud computing is the use of a large network of remote servers that are hosted on the internet to manage, store, and process data as opposed to using a local server or a personal computer. It is also referred to as the on-demand delivery of database storage, computer power, and application, among other IT resources through a cloud platform. In cloud computing, no major investment is needed for hardware and time to manage data. It makes it possible to access unlimited resources instantly and only pay for what is needed.

How Cloud Data Works

Cloud computing has assured the availability of data to everyone through the on-demand model. Cloud computing technology involves storing and accessing programs and data over the internet as opposed to the traditional computer hard drive. This model of computing has transformed individual and business access to data around the world. It provides a simpler way of access to storage, database, servers, and other services through the internet.

Types of Cloud Data

There are three main types of cloud computing that include infrastructure as a service (IaaS), Software as a service (SaaS), and Platform as a service (PaaS). Each of these types has a unique application and purpose, which should be ...


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Understanding the Shortcomings of the Internet of Things

Understanding the Shortcomings of the Internet of Things

The Internet of Things (IoT) is expected to be a $267 billion market by 2020. A lot of this investment should happen in industries like manufacturing, transport, logistics, healthcare, and utilities while the consumer market alone is estimated to be worth around $25 billion over the next few years.

An internet connected manufacturing or transportation device is expected to be more dynamic and efficient. One might remember Tesla first tweaking the suspension system of their Model S cars by simply pushing in a wireless update in late 2013. At the other end of the spectrum, a farmer could deploy devices that monitor ambient humidity and temperature that can dynamically control the flow of water over irrigation channels. While technology as this can bring about tremendous improvements in productivity and efficiency, it is also important to look into the hazards and shortcomings that such deployments may bring.

Hacking

Disabling thousands of computers with a ransomware or halting online commerce through DDoS-type attacks are commonplace today. Although such cyber-attacks are known to cause losses worth millions of dollars, they are still benign in the sense that no lives are lost. That might not be the case when IoT becomes mainstream. Could a car be hacked to run ...


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4 Guidelines for Building a Successful Data Catalog

4 Guidelines for Building a Successful Data Catalog

Building a successful and functional data catalog is a time-consuming and tedious task to the uninitiated. While it seems tiresome, you need to understand the benefits of having a centralized data catalog that all of your staff members can access and utilize. It doesn’t only lower or eliminate downtime, but keeps everyone up-to-date and informed of any changes and additions in your work status. Here are some of the guidelines you can follow in order to build a data catalog that gives you a business advantage.

Create a timeline

While gathering data and organizing it into a sensible catalog will be difficult in itself, creating a plan on how to do it is just as important. The data catalog you will create is meant for everyone and it’s important that the catalog is easy to manage, update and search. Don’t give the entire task to one person. Not only will they get lost in all the data, but the responsibility is simply too big for one person to manage.

Create a task force of a few trusted employers that will answer directly to management. Gather everyone you appointed and create a general timeline with milestones and work division. You will be handling huge ...


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Python or R: Which One Should You Learn First?

Python or R: Which One Should You Learn First?

Python or R? Which is easier to learn? Which one should I learn first? These are some of the enquiries that often come from aspirants looking to start a career in the data industry. This article will answer all those questions and help you to have a good understanding of both the languages.

Data Science is a flourishing industry, with a lot of organisations using data analysis to find ways to improve their business. The data industry will continue to be an attractive one for years to come and will create a lot of job opportunities for data professionals. According to a report by the American management consulting firm, McKinsey, there will be an “acute shortage of 190,000 professionals with deep analytical skills and 1.5 million managers with expertise in the industry� by 2018. This might not be a positive news for the industry but it is certainly a great news for data science professionals.

The demand will increase and the demand for experts in the field will shoot through the roof. If you’re interested in a data career, it is high time to get a certification to prove your skills. Enrol in a Hadoop course or become proficient in a programming ...


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Could Cyber Attacks Destroy the Digital World?

Could Cyber Attacks Destroy the Digital World?

Nowadays, there are very few things left that we cannot do online. The vast majority of operations and services have been directed to the World Wide Web, all in the aim of optimizing the offline world. Connecting the entire world to a vast web of databases has made the twenty-first century society thrive at a blinding speed. But this cyber-progress has also rendered modern society vulnerable to an entirely new type of attacks.

Data hacking has evolved alongside data development, up to the point where it has reached cyber terrorism. These attacks can have significant political consequences, but the main targets remain businesses, which can be greatly affected by data breaches. This makes cyber security of paramount importance because a solid defense program is the only measure that can keep a business safe.

Critical Cyber Attacks of the Past Years

These last few years have seen some of the most brutal cyber attacks in digital history. The most important aspect relayed by these attacks was the vulnerability of the online society, as the consequences of these data breaches proved to have a great impact on global politics. Here are a few noteworthy examples:

01. The Ransomware Attack

In May 2017, the ransomware attack has severely ...


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Deep Learning: Einstein Or Savant?

Deep Learning: Einstein Or Savant?

Artificial intelligence is one of the hottest topics in analytics today. Currently, the most popular member of the AI family, deep learning is solving some very difficult problems very well. Best known for image recognition, it is now being applied to a wide range of other problems.

Given the success of the approach, it is easy to forgive people for thinking that deep learning is incredibly intelligent. However, once you dig into deep learning, you’ll find that as opposed to being a generally brilliant algorithm akin to Albert Einstein, it is much more akin to a savant like the famous movie character from Rain Man. In other words, a deep learning process is really smart at a specific task or two, but not smart at all for anything else.

General Versus Specific Intelligence

First, let me define what I mean by general intelligence (i.e. Einstein) and specific intelligence (i.e Rain Man). Einstein was a brilliant man who was able to solve a wide range of problems. More importantly, he was also able to identify entirely new problems to solve and entirely new ways to solve those new problems. That’s really smart! His gift was the ability to guide himself through problem formulation and ...


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Securing Competitive Advantage with Machine Learning

Securing Competitive Advantage with Machine Learning

Business dynamics are evolving with every passing second. There is no doubt that the competition in today's business world is much more intense than it was a decade ago. Companies are fighting to hold on to any advantages.

Digitalization and the introduction of machine learning into day-to-day business processes have created a prominent structural shift in the last decade. The algorithms have continuously improved and developed.

Every idea that has completely transformed our lives was initially met with criticism. Acceptance is always followed by scepticism, and only when the idea becomes a reality does the mainstream truly accept it. At first, data integration, data visualisation and data analytics were no different.

Incorporating data structures into business processes to reach a valuable conclusion is not a new practice. The methods, however, have continuously improved. Initially, such data was only available to the government, where they used it to make defence strategies. Ever heard of Enigma?

In the modern day, continuous development and improvement in data structures, along with the introduction of open source cloud-based platforms, has made it possible for everyone to access data. The commercialization of data has minimised public criticism and scepticism. 

Companies now realise that data is knowledge and knowledge are power. Data ...


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Why Big Data and Analytics are the Most on-demand Skills Today?

Why Big Data and Analytics are the Most on-demand Skills Today?

By 2024, the world's enterprise servers are set to annually process the digital equivalent of a pile of books that extends to more than 4.37 light-years to Alpha Centauri, our closest neighbouring star system in the Milky Way Galaxy. And according to the authors of this report published by the UC San Diego, some of the information is quickly discarded, and is transient. But the bulk of the data (literally the iceberg below the water) needs to be sorted, interpreted, and analysed.

Big Data and Analytics are THE hot skills in demand today. And it is easy to see why.

What’s the buzz around Big Data?

According to the International Data Corporation (IDC), the big data market is poised to grow from $130.1 billion in 2016 to more than $203 billion in 2020, at a compound annual growth rate (CAGR) of 11.7%. 84 percent of mid-market businesses in Australia has taken the Big Data route by deploying appropriate solutions. To be able to be sustainable and efficient, businesses are looking at leveraging the power of Big Data as an important item on their corporate agenda.

According to several industry experts, the Big Data sector has recorded six times faster growth than the average growth ...


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How to Navigate the Ethics of Data Gathering

How to Navigate the Ethics of Data Gathering

Big data has changed how companies do business. With the collection of massive amounts of data, that data can later be analyzed to find actionable intelligence a company can use to sell more products and increase profits. It’s a very powerful tool to have that can help you transform something that was previously going unused into a source of competitive advantage. This is why two-thirds of all companies have chosen to invest in big data analytics.

While collecting and analyzing this data does have strong advantages, you also have to take some care while doing so. As with anything that could conceivably involve the personal data of customers and other private individuals, you have to be aware that there could be ethical concerns relating to how that data is utilized.

Personalized Advertising

One of the most common applications for big data is as a means to personalize advertising. In the past, advertisements were only deployed through mediums like print, radio, TV, billboards and direct mail. With most of these platforms, personalized advertising was impossible. Instead, ads had to target large swaths of consumers with the hope at least some people would be reached that would be interested in purchasing a product.

However, today, with ...


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How is the Internet of things reshaping the banking industry?

How is the Internet of things reshaping the banking industry?

The Internet of Things (IoT) is evolving at a rate of knots. Bricks and mortar banks need to respond to the dynamism in the payments arena by providing online and mobile services that meet exigencies of the market. FinTech innovation has created an entirely new paradigm that can render old-school methodology defunct. 

If banks don’t keep up with the current changes with the Internet of Things, they could find themselves at the back of the line. Digital devices, novel technologies and widespread innovation are driving the banking industry in ways never seen. In the days of old, checkbooks, credit cards, and bank visits were necessary. Today, none of that is.

How is the Internet of things reshaping the banking industry?

For one thing, cloud computing technology is here. Throw in AI (artificial intelligence), big data and machine learning, and it’s a whole new ballgame. The interrelatedness of these types of technology ensures that constant upgrades, analysis, and technical expertise is needed in the banking industry. Banks have the wherewithal to meet these challenges head on. They are operating at the forefront, with vast resources at their disposal. Ironically, it’s the smaller FinTech companies that can navigate these volatile waters more easily than the ...


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What does new GDPR European Union law mean for your business?

What does new GDPR European Union law mean for your business?

Today’s consumers are more powerful than ever before, and get every bit of information that they can before they make a purchase. The Internet is helping them greatly, and most of the buying is done online. The pace is so rapid that it won’t be long before online purchases are more common than offline ones.


What does this mean for businesses?

You have to unify your marketing and sales channels so that you can understand your consumers better, and can offer them a personalized cross-channel experience. Customer experience is the trick to mastering this. And so, you must come up with ways that allow you to improve and offer a seamless customer experience across all channels, so much so that you outdo your competitors if you want most of the market share.

Consider the examples of Apple, Amazon, and other giant retailers out there. What are the common elements in their marketing and sales campaign? Following potential leads and consumers over multiple channels and sending them personalized messages. They have advanced analytics systems in place that give them insight, which are then used for delivering a better customer experience than before.

As of now, current technologies allow businesses to control their clients’ data. But all ...


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How Big Data is Changing the Music Industry

How Big Data is Changing the Music Industry

The music industry has needed a face-lift for a long time. Luckily, the advent of big data might provide musicians with a more successful revenue model. This represents one of the biggest industry shifts that music has seen in decades. Let's explore the possibilities big data currently offers the long-suffering music industry.

A New Revenue Model

The entire revenue model of the music industry has changed in the last decade. Although streaming sites like Spotify helped curb online piracy, the music industry hasn't yet clearly defined the royalty rates for streaming music.

Big data might change that, because it helps bring artists and corporations together more effectively via high speed data analysis such as a Hadoop cluster. Data from streaming sites provide companies fantastic insights into the genres and styles their target demographic currently likes.

Although there's a long-raging debate about "selling out", it's starting to look like a big data-backed strategy might be the last refuge to get musicians paid.

The Failure of Subscription Services

YouTube recently unveiled their long-awaited subscription music service. It's a move designed to improve what some describe as their "absolute advertising overkill". Analysts are critical of this move--it certainly didn't work for Pandora or Spotify (not to name dozens of ...


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Biometric Passwords and What It Means For You

Biometric Passwords and What It Means For You

The world of passwords and security is always growing, as criminals are constantly finding new ways to circumvent or crack what protects things of true value. It’s why passwords now require numbers, symbols, capital letters, and more.

It’s also why many companies and individuals worried about security are turning to biometric passwords. It’s possible to steal or break a password, but it is much harder to fake a password that is made up of a fingerprint or a picture of a person’s face.

As the technology improves, biometric passwords are likely to become a new norm, with every piece of sensitive information protected by something tied to a person’s unique body. Here are just some of the ways biometric passwords are being created and what it can mean for your security.

Fingerprints: Their Benefits and Flaws

Fingerprints are the most commonly used form of identifican and biometric security measure. For identifying people, fingerprints have been utilized since the 1890s. But back then, it required ink, paper, and a magnifying glass to compare them. Now, a fingerprint can be scanned with a simple sensor the size of button.

Fingerprints are easy to use and a great first step into biometric security. One of the major benefits ...


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Virtual Reality – Shaping the Future of Retail Industry

Virtual Reality – Shaping the Future of Retail Industry

Right from artificial intelligence (AI) to augmented reality (AR) and virtual reality (VR), the latest, emerging technologies are shaping the retail industry at an expeditious pace. Albeit, not yet in the hands of every customer, virtual reality (VR) is gaining a lot traction in the e-commerce industry, lately, and is finding its place in the technology market.

Virtual reality is changing the retail industry not just because of the reasons that customers are covering their eyes with VR glasses. But, the concept of an entirely personalized customer experience, showcasing products you wish, in a place you can relate to, without having to leave your home is sufficient to hone the appetite of a consumer.

On the other side, retailers are also desirous in leveraging the advantages of the virtual reality (VR) solutions, with the virtual reality industry expected to reach nearly $150 billion by the year 2020.

Vcommerce (Virtual reality commerce) is not going to replace e-commerce, not in the near future, at least -- But rather become a supportive technology, defining a true omnichannel experience to shoppers. The real ability of vcommerce is bridging the “trust gap� online shoppers and their online shopping experiences. There are still brick and mortar retailers who ...


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How Can You Tackle the Dirty Data Problem

How Can You Tackle the Dirty Data Problem

“Big data� is an enormously popular concept and at the first glance, it does sound like a silver bullet. Whatever your business deals with, whatever your problem is, for that matter, all you have to do is collect the sufficient amount of data, plug it all in the computer and wait for insights. The long-awaited answers will pour out and tell you how to increase your sales, what demographics to target, and how to make your employees more loyal and efficient.

However, the reality is more complicated than that. Often information is incomplete, therefore misleading. Moreover, data has a bad habit to change constantly. People move homes and change their jobs and phone numbers, start families, gain or lose weight, dye hair, start or quit shaving, develop new medical conditions and eating habits. Your data is decaying by the hour. It is important that you do regular revision and updates of your databases. Cleaning up the “dirty� data is an important and often overlooked task, necessary to prevent costly mistakes.

What do you mean “dirty�?

Let’s make it clear: there are no “clean� data sets. The life is complicated, messy and full of “white noise� and irrelevant facts. Even the most “tidy� and ...


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How AI Continues to Open Opportunities Within the Healthcare Industry

How AI Continues to Open Opportunities Within the Healthcare Industry

The growth of artificial intelligence technology opens doors to unlimited possibilities in all sorts of industries. From self-driving cars to chatbots, AI is changing how companies innovate, customers interact, and the world is run. One area that is poised to grow significantly from AI is healthcare, for which AI technology creates a number of possibilities. Here are just a few of the areas where AI can impact the future of the healthcare industry.

Patient Experience

Scheduling and going to the doctor isn’t always a particularly pleasant experience or an effective use of time for patients, but AI could be used in a variety of ways to improve the overall experience for patients and physicians. One of the most logistically challenging aspects is scheduling, especially for places like the operating room where patients’ lives are on the line. AI can pull in a variety of information, including doctor schedules, patient needs, and even severity of conditions to help populate a schedule. AI can also create technology like smartphone programs that use computer vision to recognize faces and medications. This could lead to the growth of telemedicine, more effective appointments, and doctors being able to manage an estimated 10 times more patients in the ...


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Machine Learning Can Help You Find Your Ideal Customer

Machine Learning Can Help You Find Your Ideal Customer

Finding customers based on traditional marketing tactics is now old hat. Now, when it comes to finding customers, machine learning is the main attraction. Old solutions required sales and marketing teams to create generic personas that would then be assigned to customers by focusing on broad similarities. But with the advent of big data mining, this one-size fits all just isn’t cutting it anymore. Customers and clients all want a more personalized experience and businesses are serving just that by switching over to a more customer-focused and personalized offering model.

Today’s organizations and businesses are being driven by customer experience, and those who make it their number one priority are the ones who will really stand out from the competition. Businesses can give more personalized offerings to their customers and ultimately drive higher conversions by building ideal customer profiles. These profiles can answer questions such as “which customers will buy next month?�, “what marketing content is the best for a particular client?�, and “what customers will be our largest spenders?� Answering these kinds of questions will lead businesses to target the right individuals and ideal customers all through the use of big data mining and predictive analytics through machine learning. And ...


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5 Ways Businesses Can Cultivate a Data-Driven Culture

5 Ways Businesses Can Cultivate a Data-Driven Culture

The pressure on organizations to make accurate and timely business decisions has turned data into an important strategic asset for businesses.

In today’s dynamic marketplace, a business’s ability to use data to identify challenges, spot opportunities, and adapt to change with agility is critical to its survival and long-term success. Therefore, it has become an absolute necessity for businesses to establish an objective, data-driven culture that empowers employees with the capabilities and skills they need to analyse data and use the insights extracted from it to facilitate a faster, more accurate decision-making process.

Contrary to what many people think, cultivating a data-driven culture is not just a one-time transformation. Instead, it’s more like a journey that requires efforts from employees and direction from both managers and executives. In this article, I am sharing five different ways businesses can accelerate their transformation into a data-driven enterprise.

1. Establish a Clear Vision

Establishing a clear vision is essential for putting data into the DNA of an organization. An executive, preferably the CIO or CDO, should present the vision to the workforce and provide the rationale for this shift in culture and in benefits. This, in turn, will set stage for the work ahead and provide an ...


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3 Lessons from ATD 2017 every L&D Pro Should Know | Simplilearn

3 Lessons from ATD 2017 every L&D Pro Should Know | Simplilearn

3 Lessons from ATD 2017 every L&D Pro Should Know | Simplilearn As a sponsor of the recent ATD 2017 conference, Simplilearn attended a number of educational sessions. If you missed the show—or attended but skipped some sessions—we wanted to summarize and share a few key nuggets from our favorite training-oriented presentations. The Simplilearn booth team: Josh Pfister, Ana Encalada, Danny Stutts,...Read More.
Another Way of Thinking about Keywords: Semantic vs Syntactic | Simplilearn

Another Way of Thinking about Keywords: Semantic vs Syntactic | Simplilearn

Another Way of Thinking about Keywords: Semantic vs Syntactic | Simplilearn When we think about keywords, we’re often focused on how they match to search terms in a process-oriented approach. For instance, you might think about broad match as showing for a lot of potential queries, some good and some bad, and that you’ll have to manage the search queries and negatives closely when using that match type. Or you...Read More.
How To Measure The Effectiveness Of Corporate Training | Simplilearn

How To Measure The Effectiveness Of Corporate Training | Simplilearn

How To Measure The Effectiveness Of Corporate Training | Simplilearn When you plan training and development for your organization, you expect to gain improved skills and productivity, greater retention rates, and an improved brand. After you deliver any type of corporate training, you must ask yourself these questions: How effective was the training in helping learners gain relevant knowledge and skills? Could t...Read More.
What makes a Digital Marketer Successful? | Simplilearn

What makes a Digital Marketer Successful? | Simplilearn

What makes a Digital Marketer Successful? | Simplilearn Today’s digital marketing landscape develops and changes at the speed of light. Consequently, fast-paced digital companies need flexible digital marketers who are not only willing to keep up with cutting-edge trends, but able to master them before the competition does.  In a world where nearly all activities for work or play are connecte...Read More.
Trends Shaping Machine Learning in 2017 | Simplilearn

Trends Shaping Machine Learning in 2017 | Simplilearn

Trends Shaping Machine Learning in 2017 | Simplilearn Technologies in the field of data science are progressing at an exponential rate. The introduction of Machine Learning has revolutionized the world of data science by enabling computers to classify and comprehend large data sets. Another important innovation which has changed the paradigm of the world of the technology is Artificial Intelligence (A...Read More.
3 Things IT Companies Can Learn from AAG Cloud Revenue Numbers | Simplilearn

3 Things IT Companies Can Learn from AAG Cloud Revenue Numbers | Simplilearn

3 Things IT Companies Can Learn from AAG Cloud Revenue Numbers | Simplilearn In a kind of cloud revenue ‘alignment of the stars,’ the big three cloud providers—Amazon Web Services (AWS), Azure, and Google, known collectively as AAG—announced their financial data on April 28. I always pay attention to the financial announcements because they offer real insight to the state of enterprise IT cloud adop...Read More.
Five Reasons the Cloud is Your Future | Simplilearn

Five Reasons the Cloud is Your Future | Simplilearn

Five Reasons the Cloud is Your Future | Simplilearn Cloud computing isn’t just a smart choice for innovative businesses—it’s necessary. Nearly everyone recognizes that cloud computing is an unstoppable trend in the IT industry. However, that general agreement obscures an important truth: IT organizations differ in where they are in their journey to cloud computing. While some are...Read More.
How the Internet of Things Influences the Financial Services Sector

How the Internet of Things Influences the Financial Services Sector

The advent of Internet of Things (IoT) is long gone, as now the boom is on the horizon. The statistics of the network calls for a staggering 25 billion gadgets and a worth of $2 trillion global economic benefits by 2020. This seemingly “third industrial revolution� automatically directs us to think about its effects on retail, manufacturing, energy, and transportation industries, while the financial services does not come to mind that easily.

Since the basic concept of IoT technology relates to the transfer of data, and the workability of financial sector relies greatly on the data gathering and analyzing, it’s not hard to imagine the impact of IoT-based solutions and devices on the financial services industry. Several global financial institutions like retail banks have invested significantly in creating their own internal infrastructure and consumer-oriented technologies. IDC Financial Insights has foretold that retail banks will invest about $16 billion and more on digital information technology workarounds, while the spending is not going to decrease any time soon. Further as per PWC’s 6<sup>th</sup> annual digital IQ survey, financial services is among the leading top 10 industries that are focused on spending in sensors for powerful IoT solutions.

The point of IoT is to make ...


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Five Ways To Cultivate a Data-driven Culture for Your Business | Simplilearn

Five Ways To Cultivate a Data-driven Culture for Your Business | Simplilearn

Five Ways To Cultivate a Data-driven Culture for Your Business | Simplilearn The pressure on organizations to make accurate and timely business decisions has turned data into an important strategic asset for businesses. In today’s dynamic marketplace, the ability for businesses to use data to identify challenges, spot opportunities, and adapt to change with agility is critical to its survival and long-term success. T...Read More.
The Merger of Technology and Nutrition

The Merger of Technology and Nutrition

The influx of technology in healthcare has revolutionized the domain. It has opened doors for new opportunities in the field of scientific research in anatomy, morphology, and physiology of human body by providing relevant and accurate data insights. Not only that, it has made individuals more empowered than ever to be in control of their health, stay informed on their health status and take efficient measures to improve their quality of health.

Here is an insight into some ways in which the integration of technology with health and nutrition has brought significant benefits for people.

Improving the Quality of Diagnostics for Malnutrition

Malnutrition is the prime cause of a majority health disorders. It weakens the immune system, causes a deficiency of essential nutrients and makes the human body prone to a number of pathogenic diseases. Malnutrition stays undiagnosed until you consult a physician and undergo some medical tests.

Since most people do not go for a regular medical checkup, they stay unaware of the nutrient deficiencies prevailing within their body. However, mobile-based apps and healthcare technology have made it convenient for people to stay aware of their health status and watch out for the symptoms of any nutrient deficiency. Such apps and technology is ...


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Star Data Science Candidates Don’t Just Shine for You

Star Data Science Candidates Don’t Just Shine for You

The data science market is strongly driven by its candidates.

The availability of people within this field is not keeping up with the demand for their services, and the better candidates in the market are in huge demand when they come to look for a new role. Counter offers are standard practice and it's unusual if a good candidate doesn’t have multiple offers. Even signed employment contracts are not always respected.

The candidates are most definitely king, and their ability shines to all corners of the market. To attract their attention, employers and us recruiters have to shine right back at them. We have to make ourselves attractive to them.

IT recruiters are starting to jump on the big data bandwagon

Running a data science recruitment firm, the key from my point of view is maintaining an unprecedented level of (industry expert) service. Large IT recruiters are starting to jump on the big data bandwagon, but their knowledge is not deep enough to talk at the required level. We do our best to join the debate on social media and “play� in the same conference and event sandpits where our candidates congregate. We want to be advisors rather than market traders. When you have ...


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Home Smart Home: Domesticating the Internet of Things

Home Smart Home: Domesticating the Internet of Things

The smart home technology boom is upon us. Despite lucrative projections for the market, and ever increasing numbers of connected devices, we have yet to witness much social impact from consumer adoption into the home. As a potential tipping point looms, there are several debates surrounding privacy, integration and other technical issues. Yet, there seems to be less speculation regarding why consumers still haven’t bought into the hype, nor how domestic life has improved. Considering how personal the home is, should it be concerning that those advertising these products discuss quality of life less than data, energy and ‘security’? Is the adoption of the Internet of Things into our homes inevitable, or is it already here?

Somewhere in the Near Future

The smart person returns to their certified ‘Internet - of -Things‘ smart home after a long day at work. The smart security system senses that the smart person is alone and initiates the ‘Friday Night In’ sequence. Inside, an intercom with a standardized motherly voice suggests that the smart person might want to order in tonight. The smart person unloads their things in the kitchen where the smart stove displays a selection of take out, rather than it’s default recipe guide. Following the arrival of the food, the smart ...


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3 Processes the Cloud Lets Ecommerce Businesses Automate

3 Processes the Cloud Lets Ecommerce Businesses Automate

One of the biggest advantages to being an ecommerce company is that you can focus on the core essentials without worrying about all of the superfluous details that other businesses often get caught up in. But unless you learn how to automate these processes, you don’t stand a chance of being successful.

The 3 Processes You Should be Automating

As marketer Neil Miller explains, “Automation is moving the needle of business efficiency and simplifying human lives in general.� He goes on to point out that, “Organizations that embrace business process automation have cut costs, saved time, and asked their manual workforce to solve more intelligent problems. They let machines do the rote tasks, while eliminating the chances of human errors.�

If you’re still trying to tackle everything on your own, you’re missing out. Not only are you being inefficient, but you’re ultimately going to wear yourself down to a point where you aren’t able to operate at your maximum capacity.

You need to leverage the power of automation and, as Miller says, move the needle of business efficiency. Thanks to advanced cloud-based software, this is more possible than ever before. Here are a few specific processes to consider automating.

1. Digital Marketing

You may think you’re ...


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How IoT Smart Home Automation Can Transform Our Lives

How IoT Smart Home Automation Can Transform Our Lives

Lately, the term IoT (Internet of Things) and smart home automation have been creating a buzz in the IT industry. Smart homes occupied with connected products have made our daily lives better, simpler, and comfortable. Now imagine that you are heading home on a super hot sunny day.

You usually after going home, you have to turn your conditioner and wait until the room or house to get cool. But what if you can turn your air conditioner on on your way home by simply using your smartphone. How nice would it be. Right?

Or imagine that you are making dinner and you ask Alexa to read the news so that you can concentrate on your cooking. There are obviously no limitations for smart home systems and of course, the home automation seems to be in the limelight now and in the future.

Smart Home Devices- The New Wave of the Future

The global smart home market is expected to reach an estimate of nearly 40 billion dollars by the year 2020. This includes all smart home appliances from dryers and refrigerators to air conditioners, smart home security and safety devices like close circuit cameras and alarm systems, and smart home energy appliances such ...


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Predict & Win! The ICC Champions Trophy 2017 Contest | Simplilearn

Predict & Win! The ICC Champions Trophy 2017 Contest | Simplilearn

<p>Here&rsquo;s an <a href="https://www.simplilearn.com/engagographic-article" target="_blank">Engagographic</a> to help predict the winners of every ICC Champions Trophy 2017 game. Send us your predictions for the winning team and stand a chance to win Amazon shopping vouchers <b style="font-weight:bol...Read More.
What Does it Take to be Data Scientist at Uber

What Does it Take to be Data Scientist at Uber

Among the marquee brands that a data science professional would like to join, Uber is likely to be top of many lists. But do you really have what it takes to become a Uberite?

BigInsights Principal Raj Dalal met up with Uber’s Chief Data Architect M C Srivas on a recent visit to San Francisco, where, in the course of the hour-long conversation, Srivas spoke of what data analytics meant for Uber, and how data innovation was being used to further, what is now popularly known around the world as “the Uber model.�

In the first part of this three-part series, we tried to understand how data analytics was the key to Uber’s success, while in the second part, we looked at Uber’s future plans based on data analytics.

In this third and last part of the interview, we look at what Uber looks for in a potential data scientist.

What Uber looks for in a potential data scientist?

Raj: As Fortune 500 companies focus on corporate innovation and hire chief data officers and chief innovation officers. What advice would you give to them in the role of data as an enabler to   drive innovation.

Srivas: It depend on the products of the company, and the analytics that ...


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Tired of boring Infographics? Introducing Engagographics | Simplilearn

Tired of boring Infographics? Introducing Engagographics | Simplilearn

Tired of boring Infographics? Introducing Engagographics | Simplilearn We all know the importance of engaging content in SEO. In last few years, Infographics have emerged as one of the most popular ways to enhance the content and get backlinks. There are various tools available such as Piktochart which helps generate Infographics with minimal effort. Yet, Infographics are a static piece of content, having no user int...Read More.
The Advent of a New Synergy: the Blockchain & Cloud

The Advent of a New Synergy: the Blockchain & Cloud

The increasing demand for processing power from various industries has seen the growth and evolution of computing technologies to meet this demand. Over the past few years, the tech industry has seen a number of buzzwords that have tremendously impacted the industry such as the Internet of Things, Cloud computing, big data technologies among others.

Cloud infrastructures are mainly used to run these Big Data applications. Blockchain has not yet become a buzzword, but given that it provides a solution to a question that has not been solved since the dawn of the internet (How can users get to trust various online transactions?); it will definitely become a household name. Blockchain further promises to improve cloud technology in a multiplicity of ways.

Improves the Cloud’s Quality-of-Service

Cloud resources are availed under Service Level Agreement (SLA) that provides the conditions that determines whether a computer resource is being utilized appropriately. Blockchain can effectively track resource usage allowing both the provider and the client to verify that the Service Level Agreement has been fulfilled accordingly and establish who is responsible for paying compensation fees or reporting faults.

Facilitate a move to Distributed Cloud

A Blockchain that runs in the cloud will transform it into a distributed Cloud, ...


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What Types of Tools are IoT Developers Actually Using?

What Types of Tools are IoT Developers Actually Using?

IoT platforms were on the cusp of reaching the peak of inflated expectations in Gartner’s Hype Cycle from August 2016. Not surprisingly – there are literally hundreds of them, and counting. Also, the word ‘platform’ is used for anything, from network infrastructure to hardware components to cloud services. In the end, IoT owes its boom in popularity to more and better tools becoming available for developers. In this article, we shed some light on the types of tools that IoT developers are actually using.

The IoT tool market is still underdeveloped and heavily fragmented

Despite the proliferation of IoT platforms and other tools, the IoT tool market is still underdeveloped and heavily fragmented. We asked IoT developers to select technologies they use out of a list of 15 categories. On average, IoT developers use 2.9 types of tools in that list, or one in five out of the list; professionals slightly more at 3.5 tool types. That’s comparatively fewer than developers in other sectors like cloud, mobile, or web, where developers use a quarter to a third of the tools listed. Part of the reason is fragmentation: not every tool is comprehensive enough to be relevant to a large number of developers. ...


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Data Model Scorecard

Data Model Scorecard

Objective review and data quality goals of data models

Did you ever ask yourself which score your data model would achieve? Could you imagine  90%, 95% or even 100% across 10 categories of objective criteria?

No?
Yes?

Either way, if you answered with “no” or “yes”, recommend using something to test the quality of your data model(s). For years there have been methods to test and ensure quality in software development, like ISTQB, IEEE, RUP, ITIL, COBIT and many more. In data warehouse projects I observed test methods testing everything: loading processes (ETL), data quality, organizational processes, security, …
But data models? Never! But why?

Big Data in Banking Services: Advantages and Challenges

Big Data in Banking Services: Advantages and Challenges

Because of the confidential nature of data in banking services, most of the financial institutions have been slow in adapting to big data even though they do realize that there are huge benefits in terms of customer centricity.

As of today, 12% of banks are in the process of deploying big data through a big data consulting company, 25% of banks are expanding their big data implementations, while 38% are exploring their options and 25% are experimenting by implementing big data in limited environments.

There are various factors that influence the decision of banking services of whether or not to integrate big data. The following are the considerations that go into the decision-making:

Advantages

1. Efficient risk management that helps detect errors and frauds in real-time

Business Intelligence (BI) tools that function on top of big data to provide analytics can identify the risks in sanctioning loans to potential customers. Banks can analyze the market trends according to regional data available and decide on lowering or increasing interest rates in that segment.

Errors while copying data from forms manually are reduced to minimum. Other data entry errors are also rectified before they can affect the working of the bank, as big data analytics can point out ...


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The Many Applications of Virtual Reality Technology

The Many Applications of Virtual Reality Technology

Many people are familiar with the term "virtual reality", but are not sure about uses of this technology. Gaming is an obvious application of virtual reality, as virtual worlds, but there are a number of applications for virtual reality - some of which are more complex or unusual than others.

Many industries have already adopted virtual reality

Healthcare

Virtual reality has several applications for healthcare. One use which is not really new is the use of VR therapy. For example, psychiatrists use VR in cognitive-behavioral therapy to treat patients with social anxiety or phobia things like flying, public speaking, or height. A controlled environment allows physicians to subject their patient to modeling and guide them about how to deal with how they feel.

Frontiers Medical Journal in Neurology published a study on using virtual reality to treat the phantom pain of people who have lost a limb. The therapy uses sensors that collect the brain nerve inputs, and patients must complete the game using a virtual tip. So if the amputee feels like they are clenching their fists, see a virtual element that helps control them to learn to relax their fist.

Real Estate

Developers entered into cooperation with Virtual Arch for VR tours in 3D, ...


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4 Young Industries That Already Understand the Value of Big Data

4 Young Industries That Already Understand the Value of Big Data

Many of the industries that have tapped into big data’s potential have been around for hundreds of years, and it often took the people within those sectors quite a while to realize that big data offered valuable capabilities.

However, there are other, much-newer industries — including those spotlighted below — that didn’t take long to figure out how to use big data in worthwhile ways.

1. Online Dating

Not too long ago, people had to rely on face-to-face interactions to find Mr. or Mrs. Right, but now an increasing number of individuals are turning to the online realm for matchmaking purposes.

It’s often hard to look for the gems of humanity among the thousands of profiles, but many leading online dating sites use big data to help users have more successful results.

The online dating industry generates more than $2 billion per year. Some of the companies within it, ones using big data, know the technology could solidify reputations of certain sites over others and lead to higher customer satisfaction rates.

The most popular sites for online dating boast millions of members, so big data applications have plenty of information to sort. The ways these sites use big data varies. Some capture statistics about how people ...


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Internet of Things: The Bedrock for Building the Connected

Internet of Things: The Bedrock for Building the Connected

After the Industrial Revolution of the 1920s, the ground is now set for the next revolution. This timeit is not heavy-machinery that is spearheading the revolution, instead tiny sensor fixated devices are the main characters here. We are in the verge of a revolution led by Internet-connected things.  

What is the Internet of Things? Why is it so Hyped?

The Internet of Things (popularly referred to as IoT) is a concept that has been in the works since 1990s. In fact, the ATM machines that we use frequently are all early stage prototypes of IoT use cases.

IoT enables users to connect, communicate and control their devices from remote locations. Tiny sensors work behind the screens of IoT devices to turn them into gateways for Internet connectivity.  

Cisco estimates that by 2020 at least 4.9 Billion devices will become connected.

Apart from the sheer number of devices that will become connected, it is the digital transformation in the way we live that makes IoT so hyped.

With time, like the growth of smartphones, IoT devices will become a constant presence in our lives. From connected homes to smart cities and automated city traffic controls, the possibilities are literally infinite.

Internet of Things Use Cases Across ...


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3 Strategies to Wow Your Customers with Omnichannel Experiences

3 Strategies to Wow Your Customers with Omnichannel Experiences

Did you know that companies with omnichannel customer engagement strategies retain on average 89% of their customers?  This is compared to a 33% customer retention rates for companies with weak omnichannel strategies. (Invesp)

What exactly does it mean to be omnichannel?

According to Wikipedia, omnichannel uses a variety of channels in a customer’s shopping experience including research before a purchase. Such channels include stores, online stores, mobile stores, mobile app stores, telephone sales and any other method of transacting with a customer.

Whatis.com defines omnichannel as a multichannel approach to sales that seeks to provide the customer with a seamless shopping experience whether the customer is shopping online from a desktop or mobile device, by telephone or in a bricks and mortar store.



Image Source: the DMA

How do consumers shop across channels?

Here are 14 statistics that give further insights into the shopping behaviors of today’s typical consumer:

1. 98% of Americans switch between devices in the same day. (Google Research)

2. 15 years ago the average consumer typically used two touch-points when buying an item and only 7% regularly used more than four. Today consumers use an average of almost six touch-points with nearly 50% regularly using more than four. (Marketing Week)

3. Over 35% of customers expect to be able to ...


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The Race is On: How Blockchain Will Change Governments

The Race is On: How Blockchain Will Change Governments

We are at a global crossing point and if we manage to solve some of the problems that we have created in the past decades, the world can become a better place. When the internet was developed 28 years ago, the objective was to create a decentralised internet. However, somehow, we ended up with an internet which is in the hands of a few very powerful companies. As a result, the internet can go down for millions of people if one of those companies has a problem. This was the case a few months ago, when AWS experienced ‘a glitch’, or better know a typo, which brought down the internet for millions of users.

Sir Tim Berners-Lee explained it eloquently during the Decentralised Web Summit in 2016:

“The web was designed to be decentralised so that everybody could participate by having their own domain and having their own webserver and this hasn’t worked out. Instead, we’ve got the situation where individual personal data has been locked up in these silos.� - Sir Tim Berners-Lee

Fortunately, a new technology has appeared that can solve the existing problems with the internet and bring it back to its origins; a decentralised web, where everyone can participate ...


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Why Business Analysts Play a Crucial Role for an IT Company

Why Business Analysts Play a Crucial Role for an IT Company

The role of a business analyst is gaining prominence with each passing year and more significantly in the IT Industry. The Business analysts play a crucial role in deciphering the future of many businesses and prove to the crucial functioning aspect in any industry. 

It’s been said that no business can reach to its pinnacle of success without the business analyst. 

Who actually are business analysts?

Business analysts are the people who are responsible for diving deep into the oceans of unlimited insights as offered by the clients and guiding the entire team towards meeting the same. 

The business analysts use their knowledge of better vision and better-analyzing capability and providing precious experience to the team in handling sales, and various business processes and even in framing all important documents. 

Business analysts play a crucial role In an IT Company

The business analysts play the all important role in the IT Company and are responsible for carrying out various activities in an IT Company. The role of Business analyst becomes more important as they are a part of the better delivery of the projects to the clients meeting their requirements and demands. 

With the below-mentioned functions of the Business analysts in an IT Company, they are the ...


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How Will Marketers Use Big Data in the Future?

How Will Marketers Use Big Data in the Future?

With the advance of the Internet of Things and AI, the big data landscape for marketers is going to change. The IoT will be generating far more data than businesses are used to seeing. With that, marketing agencies and departments will need to decide which data they’ll use and which data is too sensitive to incorporate in campaigns.

In other words, as every aspect of our lives is increasingly converted into data, will anything be outside the scope of the marketing eye? And to what extent will marketers deliver messages through new, connected tech?

Digital marketing agencies are riding a wave of business trends directly related to big data:


Businesses are spending less on internal operations because they’re spending more on marketing technology
83 percent of businesses expect to see the demand for marketing analytics grow alongside an increase in data collection      


In part, the increase in data collection stems from the number of connected devices contributing to the IoT. It also comes from the fact that businesses are seeing a ROI from data collection and analytics. In the past, it was fairly normal to doubt an increase in revenue and profits due to marketing personalization through data. Now, there’s no doubt in anyone’s mind ...


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How Big Data Bring Changes to Insurance & Health Care

How Big Data Bring Changes to Insurance & Health Care

Big data analysis is a revolutionary tool in the modern world, and it has brought significant changes to industries ranging from healthcare and politics to insurance and sport. In this article, a big data consulting firm discusses how big data as well as wearable gadgets are now transforming the health and insurance sectors in 2017. First, let's look at how big data is changing health care.

Wearable technology is the recent smart revolution in the healthcare sector. These are portable gadgets ranging from activity trackers and pacemakers to smart watches. While we cant really count the number of these gadgets in the market today, there are over a hundred thousand healthcare apps available for users, according to the report, and these can be downloaded from the app stores.

How Big Data Brings Changes to Healthcare and Insurance Industries in 2017

Healthcare and Pharma industries from around the globe are experiencing significant challenges including low access, high cost, little price transparency, over prescription, declining trust, weak R&D pipeline, effective medication, etc. With big data, both industries can overcome most of these challenges by simply adopting the analysis technology.

The healthcare industry is vast and lucrative, especially for the technology sector to invest more resources in ...


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Gauging The Effects Of Technological Advancements In The World Of Medicine

Gauging The Effects Of Technological Advancements In The World Of Medicine

Technological advancements continue to take place on an almost daily basis and they have begun to have an effect on a number of unexpected sectors of society. As mobile app developers continue to work on the clock and Android app development and iPhone app development keep advancing, the medical community will also continue to experience a wide range of effects.

Thanks to the growth of mobile medical apps, patients and practitioners alike are both able to enjoy numerous benefits. With the advent of mobile monitoring and the increased number of telehealth systems, hospitalizations are expected to be reduced significantly, as well as emergency room visits.

This will benefit both sides of the equation, as patients who do not reside in areas that are close to hospitals and emergency rooms can now receive assistance without having to drive long distances, while the doctors and nurses who are on call are given the chance to focus their efforts on the patients who are already present.

Apps allow for improved communication between health care specialist, as well as the coordination of care. Patients can remain engaged with their doctors even when they are not on the premises, which leads to far better maintenance of any pre-existing ...


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Why Mobility Data in the Retail Industry is Important

Why Mobility Data in the Retail Industry is Important

Just how do major retailers use mobility data to stay competitive in this fast paced industry? Read on and adopt these methods for your retail store today.

Mobility data refers to the trajectories or locations of people and objects. In the retail industry, the movement of shoppers and prospective customers are of particular interest. This is commonly referred to as footfall, which involves measuring the number of people in and around a store or area within a period of time.

With footfall data, you can determine other key metrics that are crucial for survival in today’s retail climate such as shopper traffic, estimated conversion rates and estimated transaction values.

Why is mobility data important?

Calculating footfall in and around your store helps managers make business decisions such as how to optimize marketing strategies, when to launch promotions or where to allocate labor. With footfall data, managers can identify, at any time of the day, how many purchasing opportunities they have in each store – and how many they are missing. 

Knowing your weekly, daily and hourly retail footfall can give you the extra edge you need to boost sales productivity, increase conversions and make instant operational changes in real-time. 

Growing your retail business with mobility data 

Here ...


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Blockchain Technology Explained: Powering Bitcoin

Blockchain Technology Explained: Powering Bitcoin

What’s The Big Deal With Bitcoin?

Like most good stories, the bitcoin saga begins with a creation myth. The open-source cryptocurrency protocol was published in 2009 by Satoshi Nakamoto, an anonymous developer (or group of bitcoin developers) hiding behind this alias. The true identity of Satoshi Nakamoto has not been revealed yet, although the concept traces its roots back to the cypher-punk movement; and there’s no shortage of speculative theories across the web regarding Satoshi’s identity.

Bitcoin spent the next few years languishing, viewed as nothing more than another internet curiosity reserved for geeks and crypto-enthusiasts. Bitcoin eventually gained traction within several crowds. The different groups had little to nothing in common – ranging from the gathering fans, to black hat hackers, anarchists, libertarians, and darknet drug dealers; and eventually became accepted by legitimate entrepreneurs and major brands like Dell, Microsoft, and Newegg.

While it is usually described as a “cryptocurrency,� “digital currency,� or “virtual currency� with no intrinsic value, Bitcoin is a little more than that.

Bitcoin is a technology, and therein lies its potential value.


This is why we won’t waste much time on the basics – the bitcoin protocol, proof-of-work, the economics of bitcoin “mining,� or the way the bitcoin network functions. Plenty ...


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IoT Testing Challenges and Legacy

IoT Testing Challenges and Legacy

We live in a world where your car will soon be a far better driver than you, and your fridge will be more responsible as well, even ordering groceries when supplies start to run low. This is feasible through the advancements of embedded systems into the Internet of Things (IoT). The quality and performance of such systems still require the improvement of existing testing methods to ensure quality while taking into consideration speed and scalability.

Embedded systems have been around for decades now, while the IoT is still in its infancy. The difference between the two is that embedded systems are self-contained and isolated, while IoT gadgets are in permanent communication with the server and, soon, with each other. Such a degree of integration  and interoperability poses significant problems regarding testing and robustness due to differences in protocols and security.

Old Tools, New Challenges

Traditional testing methods take time, which is no longer a viable option. The entire development process needs to be agile, detecting problems as early as possible. The new mantra is "test early, test often" and the result is continuous integration, which is even more important in an IoT environment. The sensors, communication channels, protocols, software-hardware interactions, and configurations determine an ...


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How Big Data Transformed the Marketing World

How Big Data Transformed the Marketing World

We are now in the digital era with thousands of gadgets at our hands including tablets, smartphones, digital television, social networks, and e-commerce. Before digital marketing marketers’ mission was kind of hard and challenging, they have been required to create captivating and catchy advertisings for TVs, print media, and billboards without any solid knowledge about the consumers’ behavior. But with the evolving of digital marketing the marketers’ mission has become way easier and more efficient.

Marketers now have a different job description, they are not only working on coming up with innovative ideas but rather collecting data, deriving trends, crunching statistics and numbers and finding the right channel to reach out to their target audience. Though this might sound like a lot of work to do, yet it is a well-known fact that the digital age has brought a lot of data which marketers can use to create more efficient strategic marketing plans via more accurate insights.

Why should marketers consider using big data?

Today, many organizations are collecting data from different sources to improve and optimize their marketing campaigns including Amazon, Zoopla, Propertyinder, Rocket Internet and many others. Taking out the guesswork from the equation, such campaigns have proven to be more ...


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How the Blockchain Will Change Social Networks

How the Blockchain Will Change Social Networks

The blockchain is the new technology that people just can’t stop seeming to talk about. It’s staged to change everything, from currency to digital property to even social media and the attention economy. Some have even taken to calling it the second significant overlay on top of the Internet, aka “the trust layer�.

William Mougayar’s The Business Blockchain: Premise, Practice, and Application of the Next Internet Technology describes it as such:

“The blockchain cannot be described just as a revolution. It is a tsunami-like phenomenon, slowly advancing and gradually enveloping everything along its way by the force of its progression,� he writes. “Plainly, it is the second significant overlay on top of the Internet, just as the Web was that first layer back in 1990. That new layer is mostly about trust, so we could call it the trust layer.�

Mougayar’s confidence is shared by more than a couple of other enthusiasts, such as Imogen Heap and others in the music industry, certain govtech CIOs, and even insurance tech startups. The real indicator that blockchain will touch everyone’s lives, however, is that it’s predicted to change the way we interact over social media.

A Quick Rundown on Blockchain Technology

For those unfamiliar with blockchain technology, ...


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How Big Data Could Improve the Business Lending Industry

How Big Data Could Improve the Business Lending Industry

By now, most banks and financial institutions are already investing in big data. They’re pulling data from their customers and financial markets in new ways, and they’re hiring more data analysts and engineers to make the best use of that data. In fact, by the end of the decade, we could see the global existence of 45 zettabytes—that’s 45 trillion gigabytes—and an enormous shortfall of data analysis talent to keep up with demand.

So what exactly are banks using all this data for? In addition to making better investments and improving infrastructure and technology, many banks are putting this data to use in the lending sector—which could herald the changes necessary to spark a revolution in business lending.

The Business Lending Problem

Small business loans are an option available to aspiring entrepreneurs who have strong ideas for new businesses, but not enough capital to make those ideas a reality. Unfortunately, banks are notoriously strict about who they give loans to and how. From a logistical perspective, this is a necessity; if banks lent money to everyone, they’d never make a profit, and they’d cease to exist.

But current circumstances make it hard for entrepreneurs with little experience, or those with poor credit, to get ...


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How Big Data Has Shifted Corporate Decision-Making

How Big Data Has Shifted Corporate Decision-Making

Why did businesses succeed in the past? A few factors: timing, intuition, know-how, and a little bit of luck. While a lot of these factors still influence corporate success and decision-making today, there are more tools available than ever that are available to help predict success or failure. One of these tools is big data—which offers solid insights that are often as valuable as even the most experienced CEO’s intuition. Today, big data has shifted corporate decision-making in many companies, particularly startups. Does intuition still have a place in our data-driven world? Let’s take a look.

Mining the Past for Future Growth

While intuition is based on past experience (the past experience of a business professional), big data represents a concrete picture of the past. Mining past data of an organization (or the organization’s competition if the company is brand new) is key to predicting the future of new initiatives. While trends can change, it tends to be more reliable to make decisions based on the past to help spur future growth.

Changes in Business Strategy

Big data has become a popular tool in business strategy partially because it’s easy to see and communicate the reasons behind decision-making. When decision-making is based on intuition ...


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Big Data’s Powerful Role in Gas Pipe Safety

Big Data’s Powerful Role in Gas Pipe Safety

Infrastructure is a major area of opportunity for big data, and it’s being explored more each year as opportunities to improve efficiency and safety present themselves. Smart grid systems are becoming more common as aging systems are upgraded, resulting in lower energy usage and savings. Gas pipelines, another important piece of our global energy infrastructure, are also being improved with big data—but unfortunately not all of them.

The “Pigs� That Clean Pipelines

Data collection in infrastructure relies on sensors, which can provide valuable information in many different contexts. Smart grid sensors detect what times of day demand more power, while sensors installed on “pigs� that clean pipelines offer insights that can improve safety and maintenance. The catch? These pigs, which look like cylindrical robots, can’t be used on all pipes worldwide. In fact, they can only be used on about a third of the world’s gas lines. That’s a shame, because pigs are a great way to use predictive analytics to ensure proper maintenance and cut costs for manufacturers.

Because keeping pipes in tip-top shape is an important safety issue, pipes that can’t be cleaned and monitored using pigs must be maintained using the old-fashioned methods of conservative prediction based on experience. ...


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How Machine Learning Will Drive Autonomous Vehicles

How Machine Learning Will Drive Autonomous Vehicles

It's Saturday noon and you set out for a long drive with your friends and family. You get into your car, turn on the music, tune into your favorite song, and give the navigation system your preferred destination while it selects the best route. Not just these. You get all the information required through cloud right on your car dashboard. Drivers around the world are used to the increasing amount of digitalization in their cars. However, this is not the end. The future is much sexier and pretty than what you have thought of.

Tomorrow's car will represent a step change in function and form to what it is being offered now. Original equipment manufacturers (OEMs) plan to build smart, connected, autonomous vehicles (AV) or self-driving cars is already in the pipeline. According to IHS Markit, the sales of AVs are expected to reach 600,000 units by 2025, and 21 million units by 2035. Geographically, Asia-Pacific (APAC) would hold a major share of 39%, followed by Americas at 34.7% in 2030. The growth in APAC region would be driven by the technological competency of China, Japan, and South Korea.

AVs today are in a public testing phase with companies such as Ford, ...


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The Latest Trends in Big Data Analytics to Watch Out For

The Latest Trends in Big Data Analytics to Watch Out For

Big data has become one of hottest topics of discussion over the past few years. It plays a pivotal role in various aspects of businesses across industries and is also the favorite subject of academics too. The ability to mine massive volumes of data from a myriad of sources to analyze and gain insight has radically altered the dynamics of business functions, marketing, and sales.

Not just the major corporations, but even the start-ups may taste the success fruit by effectively uncovering the insights derived from data. Digging, analyzing, managing, and manipulating big data is pretty easy now, and most of the companies now have the ability to do it with minimal cost.

At the rise of 2017, we have seen that the businesses have far outgrown the basic concept of simply converting data to insights, but they can now use data to derive actionable and directive principles. The focus is now more on mining the data effectively in light of the actual organizational goals and by precisely targeting specific products and services.

This insight-driven approach will get more strengthened by the third quarter of 2017 to facilitate enhanced customer experience, market competitiveness, advanced level of security, and increased operational efficiency.

For example, a ...


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Data in Marketing – The Key to Future Strategy

Data in Marketing – The Key to Future Strategy

What do you think when you read the first line of an unsolicited email that begins with the words, "Dear Buyer", or "Dear Manager"? If you have not heard from the company before, or, you are not the manager of anything, then it is even more peculiar. Whatever reputation that company was trying to develop, they've just lost it.

Many will delete the email and just conclude that this is poor marketing - which is true.But what I think is that the company that sent me this email has not cleaned up its database lately. The reason behind these common marketing mistakes is simple. A deficit has developed between the marketing team and data expertise.

Every year, the quality of our lead generation data is improving. Accuracy, strategic planning and conversion rates are all becoming more and more dependent on marketing where big data is having it impact.And yet, many organisations are not where they need to be regarding data management and application. This is most evident within the digital marketing sector.

Data and Marketing

A 2017 Data-driven Marketing Report by Jaywing bears this out. In their questioning of the marketing industry, 92% said that data management was a top priority for their business. However, 40% stated that ...


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The Amazing Disruption in Business Intelligence

The Amazing Disruption in Business Intelligence

The world of business intelligence used to be rather basic and only included things like basic surveys and employee evaluations. However, the space has gotten a major makeover in recent years with the growth of new disruptive technologies and strategies. That disruption has had huge effects in a number of areas and is changing how companies across all industries do business.

Cloud-Based Analytics

At its core, business intelligence is all about using data to make strategic decisions. The amount of data companies could store and use was traditionally limited by human capabilities and storage functions. However, the growth of cloud services has allowed companies to tap into vast amounts of data that is more complex than ever before. Use of the cloud also allows businesses to share that data seamlessly between various departments and remote employees.

Instead of the old model of dividing up different aspects of business intelligence to various services and vendors, companies can now consolidate everything in the cloud to make it easy to store, analyze, and access whenever needed. This means the departments can share data and analytics to form a cohesive company goal and keep everyone on the same page.

Big Data-Driven Marketing

The use of the cloud and more ...


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A Beginner’s Look at Big Data and its Benefits for Your Business

A Beginner’s Look at Big Data and its Benefits for Your Business

Not many people are familiar with the term "big data." Big data affects everyone and what's surprising is the fact that there is no education or training on its importance. In layman's terms, the phrase big data is used to refer to large and complex sets of data that can be computationally analysed to reveal trends and patterns. So, many people are not aware of the concept of big data, how it is used, or even what it is. Just to give a few examples, big data is collected on your supermarket loyalty card as you shop, on your social media account, and on your smartphone.

Uses of Big Data

Data collected from your supermarket loyalty card can be used by these stores to identify trends and to create personalized offers and deals providing benefits to both the organization and its customers. Data collected online from people's' social media accounts can be anonymised and used to improve users' experience online and many other good things. Data collected from satellites and smartphones can be used to determine the most popular routes in a city/town and help improve public transport. Local authorities can use big data to determine where social care is needed the ...


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DomoPalooza 2017: Flare, Stravaganza…and Effective Business Management

DomoPalooza 2017: Flare, Stravaganza…and Effective Business Management

Logo courtesy of DOMO , Inc.
When you decide to show up at Domopalooza, Domo’s big user event, you don’t know for sure what you will find, but from the very beginning you can feel that you’ll have a unique experience. From the individual sessions and training, the partner summit and the concert line-up, to what might come from Domo’s CEO/rock-star Josh James, who certainly is one of a kind in the software industry; you know that you’ll witness a delightful event.

This year under the strings of Styx’s, Mr. James kicked off an event that amalgamated business, entertainment, fun and work in a unique way —a very Domo way.

With no more preambles, here is a summary of what happened during Domo’s 2017 DomoPalooza user conference.

Josh James at DomoPalooza 2017 (Photo courtesy of DOMO)
Key Announcements

Before entering to the subjective domain of my opinion about Domo’s event and solutions, let’s take a minute to pin point some of the important announcements made previous and during the event:
  • The first news came some days before the user event, when Domo announced its new model for rapid deployment dashboards. This solution consists of a series of tools that accelerate and ease the dashboard deployment process. Starting with its large number of connectors to diverse data sources, to a set of pre-installed and easy to configure dashboards, this model will enable developers deploy dashboards quickly and easily that decision makers can use effectively.
  • The next important announcement occurred during the conference. Domo came out with the release of Mr. Roboto —DOMO’s new set of capabilities for performing machine learning, predictive analytics and predictive intelligence. According to DOMO, the new offering will be fully integrated within DOMO’s business cloud, aiming for fast and non-disruptive business adoption. Two major features from Mr. Roboto include Alerts Center, a personalized visual console powered by advanced analytics functionality to provide insights and improve decision making. The other is its data science interface to enable users to apply predictive analytics, machine learning and other advanced analytics algorithms to its data sets. This is for sure one product I’m looking forward to analyzing further!

The introduction of new features, especially directed to narrow the technical-business gap within the C-Suite of an organization, and to facilitate decision makers an easier and customized access to insights, will enable business management and monitoring using DOMO. Some of these features include the introduction of:
  • Annotations, so information workers and decision makers can highlight significant insights in the process on top of a chart or data point. Enhancement to its Analyzer tool with the incorporation of a visual data lineage tool to enable users to track data from source to visualization.
  • Data slicing within DOMO’s cards to create more guided analysis paths business users and decision makers can take advantage of. 
  • More than 60 chart families to enhance the rich set of visual options already within DOMO’s platform. 

DOMO’s new features seem to fit well within a renewed effort from the company to address bigger enterprise markets and increase presence within segments which traditionally are occupied by other enterprise BI contenders.

It may also signal DOMO’s necessary adaptive process to comply with a market currently in a rampage for the inclusion of advanced analytic features to address larger and new user footprints within organizations, such as data scientists and a new more tech savvy generation of information workers.

There is much more behind Domo’s Curtains

Perhaps the one thing I did enjoy the most about the conference was having a continuous sense of discovery —different from previous interactions with DOMO, which somehow left me with a sense of incompletion. This time I had the chance to discover that there is much more about DOMO behind the curtains.

Having a luminary as CEO, such as Josh James, can be a two-edged sword. On one side, its glowing personality has served well to enhance DOMO’s presence in a difficult and competitive market. Josh has the type of personality that attracts, creates and sells the message, and with no doubt drives the business.

On the other end, however, if not backed and handled correctly, his strong message can create some scepticism, making some people think a company is all about a message and less about the company’s substance. But this year’s conference helped me to discover that DOMO is way more than what can be seen in the surface.

Not surprising is the fact that Josh and Chris Harrington —savvy businessmen and smart guys— have been keen to develop DOMO’s business intelligence and analytics capabilities to achieve business efficiency, working towards translating technical complexity into business oriented ease of use. To achieve this, DOMO has put together, on the technical side, a very knowledgeable team lead by Catherine Wong and Daren Thayne, DOMO’s Chief Product Officer and Chief Technology Officer respectively, both with wide experience. Their expertise goes from cloud platforms and information management to data visualization and analysis. On the business side, an experienced team that includes tech veterans like Jay Heglar and Paul Weiskopf, lead strategy and corporate development, respectively.

From a team perspective, this balance between tech experience and business innovation seems to be paying off as, according to them, the company has been growing steadily and gaining the favour of big customers such as TARGET, Univision or Sephora,  some of the customers that were present during the event.


From an enterprise BI/Analytics perspective, it seems DOMO has achieved a good balance in at least two major aspects that ensure BI adoption and consumption:

  • The way BI services can be offered to different user groups— especially to the C-level team— which requires a special degree of simplification, but at the same time an efficiency in the way the data is shown.
  • The way BI services can encapsulate complex data processing problems and hide them from the business user. 


Talking about this topic, during the conference we had the chance to see examples of the aforementioned aspects, both onstage and offstage. One with Christel Bouvron,  Head of Business Intelligence at Sephora Southeast Asia. Christel commented the following, in regards to the adoption and use of DOMO:

“We were able to hook in our data sets really quickly. I had sketched out some charts of what I wanted. They didn’t do that, but what they did was even better. I really liked that it wasn’t simply what I was asking for – they were trying to get at the business problem, the outcomes we were trying to get from it, and think about the bigger picture.�

A good example of the shift DOMO wants to convey is that they are now changing the approach from addressing a business problem with a technical perspective, to addressing the business problem with business perspective but having a technical platform in the background to support it. Of course this needs to come with the ability to effectively encapsulate technical difficulties in a way that is efficient and consumable for the business.

Christel Bouvron at DomoPalooza 2017 (Photo coutesy of DOMO)

It was also good to hear from the customers that they acknowledge that the process wasn’t always that smooth, but it helped to trigger an important cultural shift within their organization.

The takeaway

Attending Domopalooza 2017 was informative and very cool indeed. DOMO’s team showed me a thing or two about the true business of DOMO and its interaction with real customers; this includes the fact that DOMO is not a monolithic solution. Besides its already rich set of features, it enables key customization aspects to provide unique customers with unique ways to solve their problems. While DOMO is a software rather than a service company, customers expressed satisfaction with the degree of customization and services DOMO provides —this was especially true with large companies.

DOMO has done a great job to simplify the data consumption process in a way that data feeds are digestible enough. The solution concentrates more on the business problem rather than the technical one, giving many companies the flexibility and time to make the development of business intelligence solutions more agile and effective. Although these results might not be fully achieved in all cases, DOMO’s approach certainly can help organizations to from a more agile and fast deployment process, thus, more efficient and productive.

Despite being a cloud-based software company, DOMO seems to understand quite well that a great number of companies are working, for necessity or by choice, in hybrid cloud/on-premises environments, which enables the customer to easily connect and quickly interact with on-premises systems, whether this is a simple connection to a database/table source or it requires more sophisticated data extraction and transformation specifications.

There is no way that in the BI and Analytics market a company such as DOMO — or any other player in the market— will have a free ticket to success. The business intelligence market is diversifying as an increasing number of companies seem to need their services, but certainly
DOMO’s offering is, by all means, one to be considered when evaluating a new generation BI solution to meet the increasing demand for insights and data analysis.

Finally, well... what can be a better excuse to watch Styx's Mr. Roboto than this.



(All photos credited to Domo, Inc.)
Why Data Governance is the Foundation of a Healthcare Big Data Strategy

Why Data Governance is the Foundation of a Healthcare Big Data Strategy

Big data is everywhere, and many businesses are using it to improve their processes and strategies with great success. But one area where big data seems to be lagging is in healthcare. Many healthcare institutions want to adopt and expand their usage of big data, but in order to do so, they’ll need to focus on data governance.

What is data governance?

In a nutshell, data governance is what keeps data safe, secure, and up to an organization’s standards. Data is everywhere around us, and patients and consumers are used to being able to access the information they need almost as soon as they need it. However, that accessibility comes with a cost that many people don’t see—it puts much of the data at a greater risk of being hacked and stolen.

Data governance works to fight that and to secure data by creating systems so that users can trust their data. In a comprehensive data governance program, users are responsible for creating quality data and using it in a secure and ethical manner with proper authorization. In healthcare, this often comes down to establishing data governance principles that ensure data is consistent and reliable.

Why is it important?

The overall goal of data governance ...


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What is the Future of the Internet of Things in Health?

What is the Future of the Internet of Things in Health?

The Internet of Things (IoT) is a broad term referring to all pieces of technology that connect to the Internet and each other. A subset of the Internet of Things is the Internet of Healthcare Things (IoHT). This refers to all pieces of Internet-connected technology that apply to the healthcare industry.

The IoHT and development of new technologies in the healthcare field has made significant strides in improving patient care. It is not just about maintaining records and communicating with patients. If household appliances and business technology can be added to the IoT, then medical devices can as well.  

A fully connected IoHT can enable practitioners to provide individually customized data-based treatments. If patient records are made readily available, the provider can view a comprehensive medical history cross-referenced with data-based treatment research successfully administered to similar patients. The more data available regarding current treatments, medications, and patient history, the better care the patient will receive.

The IoHT will not only benefit patients on a personal level, but it will streamline the healthcare process by allowing practitioners to communicate and instantly access patient information with the appropriate permissions. Let’s say, for instance, that a patient resides in Arizona. However, while vacationing in California, ...


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How to Leverage AI for Cybersecurity Assurance

How to Leverage AI for Cybersecurity Assurance

In the game of cybersecurity, humans are the weakest link and usually the cause of unwanted breaches. Even highly educated and influent individuals can become unsuspecting targets of cyber-attacks, due to a lack of vigilance and taking security matters too lightly. Until now, this war was mainly human versus human. Things are about to change with the introduction of AI as the future of cybersecurity. It will soon be a challenge of super-computers against each other, much like it already is in the world of automated trading.

Challenges of cybersecurity

Human nature

The biggest threat to cyber security at this time is the careless nature of people towards passwords. The complexity of currently available algorithms would take years of continuous work by computers to break through brute force. However, users jeopardize their online safety by using simple passwords such as "123456" or their pet's names. Most users release a significant amount of personal data through social media every day. It could take seconds for an algorithm powered by AI to break into sensitive accounts by leveraging user-generated content, freely available online.

Although awareness about cyber threats is high, there has been no notable change in the behavior of people, leading to better protection. We are afraid of ...


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6 Signs Your Company Needs a New Data Strategy

6 Signs Your Company Needs a New Data Strategy

Big Data is not the latest jargon that has crept into executive meetings, it’s becoming an essential business practice used by most organisations today. Over the years, businesses have become aware of the insights that they can gain from data analytics and are collecting increasing amounts of data. Yet, many businesses do not have a proper data strategy in place and are simply collecting data in a frenzy. There is a difference between Big Data and having lots of data. Collecting data just for the sake of it in hopes of using it in the future is not only bad business practice, it leads to potentially costly problems for your company.

Here is a list of issues that companies without a proper data strategy may face. If your company is experiencing any of these problems, it is a tell-tale sign that you need to review your company’s data strategy:

1. Storing data is starting to cost more

Even though the price of data storage has plummeted over the years, a poor data strategy will lead to high data storage costs. According to Experian, an information services company in the US, “77 percent of CIOs believe data is a valuable asset in their ...


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4 Tech Innovations That Are Changing the Supply Chain Industry

4 Tech Innovations That Are Changing the Supply Chain Industry

Third party logistic companies (3PLs) and the supply chain have always relied on technology to meet the speed, costs, and quality demands. Technology has always been the driver to meeting customer demands, especially when it comes to supply chains. The emergence of the railroad systems in the 19th century, as well as the proliferation of trucks and other automobiles in the 1900s, had a big impact on the supply chain. These cost-effective technologies helped companies make deliveries faster and in larger amounts. We are in the 21st century now, and the internet is on the verge of transforming the supply chain in ways that we couldn't have anticipated.

When Amazon announced Prime Air services program two years ago, people were stunned- which is understandable. Has logistics technology become so advanced that orders for online shopping can be delivered with drones? Well, not yet, but this is not a joke. Tests are underway on similar programs in Israel and the United Kingdom. The 21st century is the age of the internet that is quickly transforming everything from customers' shopping experiences to how companies go through with their orders. Here, we are going to shed some light on emerging supply chain technologies expected ...


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Enterprise Journey to Becoming Digital

Enterprise Journey to Becoming Digital

Do you want to be a digital enterprise? Do you want to master the art of transforming yourself and be at the forefront of the digital realm?

How can you change your business to achieve this?

Derive new values for yourself, and find better and more innovative ways of working. Put customer experience above and beyond everything as you find methodologies to support the rapidly changing demands of the digital world.

Your transformation will be successful only when you identify and practice appropriate principles, embrace a dual strategy that enhances your business capabilities and switch to agile methodologies if you have not done it already.

The journey to becoming a digital maestro and achieving transformation traverses through four main phases.


Becoming a top-notch expert with industrialized IT services – by adopting six main principles
Switching to agile operations to achieve maximum efficiency – so that you enjoy simplicity, rationality and automation
Creating an engaging experience for your consumers using analytics, revenue and customer management – because your customers come first; their needs and convenience should be your topmost priority
Availing opportunities for digital services – assessing your security and managing your risks


Becoming a top-notch expert with industrialized IT services

There are five key transformation principles that can help you realize the ...


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4 Ways How Big Data Will Improve Road Safety

4 Ways How Big Data Will Improve Road Safety

With over 40,000 deaths each year coming from traffic-related collisions and accidents, it's a clear sign that improving road safety is a top priority across the nation. Advances in technology are helping reduce accidents and improving overall driver safety through a variety of methods. Here are the top 4 ways that technology will help improve road safety in the coming years.

#1 Data Collection

Along with computer controlled vehicles, data collection is vital to ensuring that we understand where and why accidents happen. The black box technology that has been famously used to track airplanes and help identify the cause of crashes is now being used in other vehicles. Black box technology is fairly simple, inexpensive, and easy to deploy on a wide scale of cars.

The benefits of the technology are we will be able to track the exact time, speeds, position, and other factors related to car collisions and accidents. As this data is studied, we will be able to better understand trends and reasons behind car crashes and use this data to prevent future incidents. South Korea was the first country to deploy black box technology in their taxi services and immediately noticed a 14 percent decrease in traffic accidents the following ...


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Using Online Reviews and Big Data for Positive Impact

Using Online Reviews and Big Data for Positive Impact

For years, corporations have used big data to make decisions and drive strategy. This is no longer a viable option. Companies aren't correctly using their data and while the concept remains popular, the current methods of using big data aren't successfully meeting the need. Corporate researchers and marketing experts still use data without supplying the proper context. Saying that a data point is up or that another has decreased makes no sense without the entire story. Changemakers need to know the goals and what changes will be required to get there. Visionary companies are using smart data instead of big data. Smart data is timely and is used to help transform business operations.

To see the difference, let's start with review data. Most of those in the service industry consider review data essential to successful operations. Reviews tend to impact a consumer's shopping experience. Today's consumers are savvy enough to look a company's or product's reviews before purchasing. Positive reviews have a positive impact. Negative reviews have the opposite effect and consumers don't spend their money with that company or on that product. Additionally, negative reviews tend to earn more negative reviews. However, asking customers for reviews is part of the ...


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Digital Transformation: What it is and Why It Matters

Digital Transformation: What it is and Why It Matters

Digital technologies play an ever-increasing role in our daily lives. Companies must follow suite to provide consumers with the digitally-connected experiences they expect. Digital transformation takes commitment but it is no longer an option for brands who want to stay competitive.  Consumers will simply turn away from companies that aren’t keeping pace in favor of a brand that can provide a connected experience across digital channels.

More brands are renewing their commitment to digital strategies.  According to Forrester, “A Digital Strategy allows you to understand the who, what, when and where of listening and responding to consumers, bridging brand experiences, iterating offerings, and collecting and activating consumer relationships in order to accomplish an actionable and measurable objective.�

Digital Transformation Objectives

Through investments in technology, the essence of digital strategy is about enhancing your customers experience and increasing your organization’s competitive advantage. According to a survey conducted by Altimeter, 54% of time digital transformation is led by a CMO (Chief Marketing Officer), 42% by CEO, 29% by CIO/CTO and 20% by others (including CDO).

Based on the research, survey respondents rated the following as Very Important:


80% – Improving process that expedite changes to digital properties such as website updates, new social platforms and new mobile platforms.
71% ...


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How Big Data Changed Online Dating

How Big Data Changed Online Dating

Most of the young men would have considered the happy hour at Chainsaw Sisters Saloon as a target-rich environment. The place was packed and the drinks were cheap. Predominantly, the odds of “getting lucky� were very low. Empirically, millennials know that bar crawling is for recreation but not for low-percentage mating rituals, time-wasting, archaic. There are many dating apps and sites available if you wish to meet someone.

Space is Crowded

The major players of dating include eHarmony, Chemistry.com, and Match.com for romance and they all promise relationships that are long-lasting. Niche sites like JDate.com (intended for Jewish singles), BlackPeopleMeet.com (intended for African American people to connect), ChristianMingle.com (intended for Christians looking out for singles with similar values) and OurTime.com (intended for serious daters over the age of 50) provide eponymous consumer value propositions.

Tinder is the undisputed leader in the mobile first arena. There are numerous other offerings, but not even a single app comes closer to the market share of Tinder. Zoosk, OkCupid, and Hinge are all players and niche apps like The League (the “curated� members must be chosen to join), Bumble (women must begin the conversation), Happn (dating based on location) and JSwipe (Jewish Tinder) have all found an ...


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What Big Data Means for the Future of Health

What Big Data Means for the Future of Health

Doctors and scientist are always looking for ways to improve the health and wellness of society. The industry thrives on the introduction of new technology and medical techniques. It is this constant effort to improve medical outcomes that pushes doctors, nurses, and scientists to find the best healthcare solutions. One big technological breakthrough that has helped these solutions come to light is big data.

Big data, when used correctly, has improved technology, communication and now healthcare. From improving medical transcriptionist schools to advancing the technology used in a hospital, big data has made its way to the medical world. Data analytics has helped doctors improve the health of their patients and will continue doing so in the future. As data is aggregated, doctors have been able to use it to improve the overall health of the public, identify and provide treatment for patients, find the right program/procedure for a patient, and communicate with healthcare providers.

Improve Public Health

Big data has the ability to analyze disease patterns and record sudden outbreaks. It also allows public health to be monitored and tracked. When disease data and medical information of the public gets recorded, these two pieces can improve the overall health of the population. ...


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How to Balance Analytics Agility and Stability

How to Balance Analytics Agility and Stability

There have been many science fiction stories (as well as video games!) that revolve around the tradeoffs between powerful, strong, hard to harm combatants and those that are small, nimble, but easy to harm. Both have their merits and both can be useful in different situations. However, the same profile doesn’t work best in every situation.

There are situations in a fight where being fast is more important than being strong. There are also cases where being able to stand your ground is more important than speed. The same is true with analytics. At times, agility is more important. At other times, stability is more important. The key is to know when you need which option.

The Flaws Of Targeting Only Stability

Many organizations struggle to progress effectively in their analytics journeys because of too large a focus on stability. During the exploration and discovery process, nearly all the stringent rules applied to a mission-critical production process are enforced from the start. This makes it very difficult to go in new directions and drives costs up much higher than they need to be. After all, if I just want to quickly see if an idea has merit, I don’t need my process to ...


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Why Control Is Necessary For Explainable Artificial Intelligence

Why Control Is Necessary For Explainable Artificial Intelligence

Artificial Intelligence is a very big and useful technology that has taken the world by storm. As beneficial as it is, it also has its drawbacks. No matter how efficient they are, machines only work on algorithms and these algorithms should not be over trusted for several reasons.

There may be a genuine error in its algorithm that leads to different actions from the expected or desired ones. A bug or malware may find its way into the code and this will lead to abnormal behavior of these machines. Programmers may deliberately input wrong codes for ulterior motives. This is why explainable artificial intelligence is the way to go.

With explainable artificial intelligence, every user will be able to understand how a machine works. Besides, the machines will come with a high level of transparency and accountability. Every machine should be able to explain why certain actions need to be taken to its users.

It should also explain why that is the best option and why other alternatives may not work out for a particular situation. Explainable artificial intelligence also aims at making it obvious to users when a particular machine has failed on a particular task and when it has succeeded in ...


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How the Mortgage Industry is Being Reshaped by Big Data

How the Mortgage Industry is Being Reshaped by Big Data

What goes into getting a mortgage or refinancing your home? A fairly individualized process that hinges on both the lending bank and the borrowers’ history, the mortgage industry is on the brink of transformation – and it’s all because of big data. From the initial application process to ongoing loan servicing, data banks are dictating lending in an unprecedented way.

What does big data mean for your mortgage? Here’s an inside look at a changing industry.

Faster Decisions

As noted, loan approvals used to be fairly individualized because isolated loan officers looked at isolated pieces of information and decided whether or not you qualified. The onboarding process took a long time and was prone to missing key factors because, while there was more data out there that could have been placed at their disposal, most of it was just warehoused and not accessible. Now computers can cross-reference information during onboarding to confirm that borrowers aren’t submitting conflicting information or disguising their financial history.

Following this high speed onboarding process using immediately accessible data banks, loan officers are able to make immediate decisions about your qualifications. Actually, a computer makes the decision and feeds that decision back to the staff members, but this makes for ...


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How Artificial Intelligence will Transform IT Operations and DevOps

How Artificial Intelligence will Transform IT Operations and DevOps

To state that DevOps and IT operations teams will face new challenges in the coming years sounds a bit redundant, as their core responsibility is to solve problems and overcome challenges. However, with the dramatic pace in which the current landscape of processes, technologies, and tools are changing, it has become quite problematic to cope with it. Moreover, the pressure business users have been putting on DevOps and IT operations teams is staggering, demanding that everything should be solved with a tap on an app. However, at the backend, handling issues is a different ball game; the users can’t even imagine how difficult it is to find a problem and solve it.

One of the biggest challenges IT operations and DevOps teams face nowadays is being able to pinpoint the small yet potentially harmful issues in large streams of Big Data being logged in their environment. Put simply, it is just like finding a needle in the haystack.

If you work in the IT department of a company with online presence that boasts 24/7 availability, here is a scenario that may sound familiar to you. Assume that you get a call in the middle of the night from an angry customer or ...


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Big Data Continues Serving Patients in Increasingly More Ways

Big Data Continues Serving Patients in Increasingly More Ways

From marketing to healthcare, across all industries, big data has become the next disruptive technology. The healthcare industry specifically is consistently a late technology adopter, however, it is starting to uncover new ways to optimize and serve patients using big data. These are the top five ways big data is helping improve patient lives.

Big data helps doctors determine the best treatment

Dr. Anil Jain, a doctor at the Cleveland Clinic, wished he could see and analyze diabetic patient data so he could determine the best treatment plan after he noticed diabetic patients often had the same two or three concurrent medical issues. Jain thought if he had access to aggregated patient data, he and other doctors would be able to create better outcomes for their patients.

This led the Cleveland Clinic to create a program called Explorys, which gave doctors the ability to put in data and then sift through the data to “identify patient risk factors, track outcomes and evaluate treatment success.� IBM purchased Explorys in an effort to improve its cloud offerings using the supercomputer Watson.

IBM’s Watson is also being used as a tool to help oncologists determine the best treatment route for their cancer patients by using big data ...


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How Data Analytics is Transforming Healthcare Systems

How Data Analytics is Transforming Healthcare Systems

Big Data Analytics is entirely transforming business paradigms. Automated databases are enabling businesses to perform mundane tasks more efficiently. And, the commercial sector isn’t the only area to benefit from data analytics. Its impact is widespread and is being seen across many different sectors, including healthcare.

Access to healthcare facilities is a basic, human need. However, the healthcare sector is extremely expensive, even when compared to the other developed economies. In the United States, the burden of the expense ultimately falls on the consumer since the sector is mostly dominated by private companies. America, however, ends up spending more on its public healthcare system than countries where the system is fully publicly funded.

Under such circumstances where people are paying a significantly higher price, they deserve a service that matches the price tag. The question is then: how can data analytics help increase the efficiency of healthcare systems in United States and around the world?



Performance Evaluation

Keeping a tab on hospital activities by maintaining relevant databases can help administrators find inefficiencies in service provision. Based on the results found from data analysis, specific actions can be taken to reduce the overall costs of a healthcare facility. Reduced costs may be reflected in the ...


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How Big Data And Logistics are Working Together

How Big Data And Logistics are Working Together

Logistics companies have initiated many project prototypes for the exploitation of big data analysis and several amazing projects that will soon be part of our everyday lives. This includes using Spark on Hadoop for real-time analysis to assess large data volumes stored on registers' logs, database, excel, or HDFS that has completely changed the business dynamics. Here are some of the big data projects related to the logistics sector:

Volume Analysis

Logistic companies seeking to optimize budgets and resource allocation have always grappled with the problem of predicting parcel volume on a given day of the year, month, or week. Logistic companies are currently investing in the area to determine patterns that help to predict peak volumes. It is an ideal use case since data scientists are able to generate recommendations by running batch analysis.

Parcel Health Data

It is important for the transportation of medicines and other commodities in general to be done in a controlled environment. For instance, some medications should be stored between 2 and 8 degrees Celsius. Some type of equipment are fragile and require extra care while handling. It is quite costly for logistics companies and even the end-consumer to manage the whole process. This is why companies are ...


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Try Cassandra with This JVM for a Flawless Experience

Try Cassandra with This JVM for a Flawless Experience

While working with big data, professionals often encounter the questions like which database is better. There is no specific answer to a question like this because a professional considers a lot of things when deciding the right type of technology that he or she wants to work with. The choices are sometimes a single Software and most of the times a combination that has worked well previously.

This blog is centered upon the use of Apache Cassandra with Zing. Now, Cassandra is a database management system (DBMS) established upon NoSQL. It has some unique features that can alleviate your routine data management experience. Zing on the other hand is a JVM designed to deliver high performance. Let’s look at the ways in which this combination can accelerate performance of your systems.

Known Issues in Cassandra

Cassandra and Zing complement each other or to say using Cassandra backed by Zing is sure to take care of all the loop holes that traditional Cassandra users have been encountering. There are two prominent issues that affect the performance.


Memory Settings: Databases are meant for storing data and in Cassandra there are a few issues like setting limits for memtables to avoid running over the other important data. ...


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Ways Hackers Steal Your Data (And How to Defend Yourself)

Ways Hackers Steal Your Data (And How to Defend Yourself)

For non-technophiles, online communication is as simple as clicking “send� in an email client. But in reality, the entire process includes a series of precise mechanisms that took decades to develop.

Suppose you are to send a photo of your last trip to Panama. Upon sending, the picture’s data gets broken down into “packets� that are typically no bigger than 1,500 bytes each. Once these packets reach the intended recipient, a computer reassembles them back into an image – ready to be viewed by humans.

Today, internet technology has become so efficient that—on an average internet connection—up to 5.1 megabytes of data can be transferred in a second. The only problem is that data in transit is susceptible to digital eavesdroppers or more popularly known as hackers.

How Hackers Steal Data

A hacker has many tricks up his sleeve. If their goal is corporate sabotage, they can leverage a network of infected computers or ‘botnets’ to launch a Distributed Denial of Service or DDoS attack. They can also infiltrate networks by injecting malware, such as ‘keyloggers’ that track everything a user types.

Luckily, there is a straightforward solution that can prevent these common cyber threats. For everyday internet users, a free tool like Malwarebytes should ...


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The Role of Big Data in IoT

The Role of Big Data in IoT

IoT (the Internet of Things) refers to the automated intelligent control and command of connected devices over vast regions via sensors and other computing capabilities. At its core, IoT is a fairly simple concept to grasp. It's all about making out products smarter. IoT is on its path to becoming one the biggest technological revolutions the world has ever seen. By 2020, the amount of revenue generated by IoT technology is expected to be in the figures north of $300 billion, and this is just a tip of the iceberg. One of the most critical components of the IoT process is data. For connected devices to perform commands, data has to be sent to a centralized location — say gateway or the cloud — where it's processed and sent back to the sensors of these devices.

It is, therefore, imperative to have an efficient way of collecting small amounts of data and transmitting this data to the centralized location for processing, and sending it back to the sensors — all in real-time. Taking into account the type, the enormous explosion in numbers and capabilities of these devices and sensors, the size of the data that needs processing can be extremely large ...


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Today’s Challenge for the OpenStack Foundation: Move Beyond the Complexity Conundrum

Today’s Challenge for the OpenStack Foundation: Move Beyond the Complexity Conundrum

The OpenStack Foundation is addressing complexity with "composability." Will that be enough to bring disgruntled early adopters back into the fold?
Protection for Your Business Data: The Must-Have of 21st Century

Protection for Your Business Data: The Must-Have of 21st Century

Why should you protect your data? After all, it’s only now seen as the most valuable resource in the world; even more valuable than oil, in fact. What’s more, while it can be a challenge to steal enough oil, to steal enough data is a synch. After all, Snowden managed to steal 20,000 files from the NSA using nothing more than a few thumb drives. That’s the NSA we’re talking about!

So why should you protect your data? Because if you don’t, then you might well end up with a similar fallout when a disgruntled employee or outside hacker decides to get at your files and do serious harm with them.

The question, of course, isn’t if you should protect your data. That goes without saying. It is how to protect your data.  That’s what the rest of this article is going to be devoted to.

Know what you need to protect

Step one is identifying the data that actually needs protection. Some things do. Some things don’t. Some things that absolutely need to be secured are things like:


Customer data. This is stuff like transaction accounts, private information like names and addresses, personal data of any kind and anything else that might be sensitive.
The ...


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Is Big Data Facilitating a Designer Society?

Is Big Data Facilitating a Designer Society?

Personalisation seems to be one of the big trends of the next decade.

With virtual assistants coordinating our every move and our lives held in the palm of our hand, it is undeniable that we are fast becoming slaves to our technology. What is slightly less obvious (at the moment) is the potential for that technology to learn about how we live and create a uniquely personal experience for us, every waking minute of the day (and even maybe marshal our dreams).

We are a product of our experiences, but the moment we plug in an analytical and predictive companion to our lives, it can learn about us in was that only our subconscious could fathom. Tech will be able to provide insights into our behaviour that we could only guess at – we will be able to “optimise� our lives, and I am sure that all sorts of solutions will appear that will take the strain.

The Big Data behind these insights will help to guide us like our own personal SatNav, but instead of telling us to “turn left at the junction� it will remind us to be patient when dealing with a certain person (because of a previous experience) or ...


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10 éves a dmlab

10 éves a dmlab

Hálás vagyok. Ennek az egyszerű gondolatnak mindenféle variációja kavarog a fejemben, mikor arra gondolok, hogy ma 2017 május 10.-én ünnepeljük a dmlab alakulásának tizedik évfordulóját. Ahogy a tíz évnyi élményt átpörgetem a fejemen, valahogy azt érzem, hogy ez nagyon jó tíz év volt. Annyira pozitív bennem az összkép, hogy szinte hitetlenkedve szedem össze az agyam rejtet zugaiból a nehézségek, a kudarcok élményeit. És mikor ezeket is sorba veszem, méginkább kereknek és jónak látom ezt az időszakot. Hálás vagyok azért, hogy így tekinthetek vissza.


picture1.pngHálás vagyok azokért, akikkel ezt az egészet tíz éve elindítottuk. Ha dmlab indulására gondolok, egy rövid TED videó jut eszembe, ami egy rövid vicces videó elemzésén keresztül mutatja be, hogyan indul el egy mozgalom (link). Kiemeli, hogy egy új kezdeményezés indításánál nem az azt indító vezető személye a legfontosabb, hanem annak az első egy-két társnak a döntése, akik elsőként hozzá csatlakozva vezetővé teszik. Hálás vagyok ezért Nagy Istvánnak, Főző Csabának, majd Ivónak, Prekónak, Attilának, Petinek, majd Gergőnek, Csabinak, Simonnak, és sokáig sorolhatnám ki mindenkinek, akik hittek abban, hogy lehet és érdemes a dmlab kötelékében valami újat és nagyszerűt alkotni.

Hálás vagyok azért a bátorságért és azért vakságért, vakmerőségért, ami ezt a csapatot jellemezte. Bátrak voltunk, mikor új és járatlan, kockázatos utakon kezdtünk el járni, és olykor vakmerők voltunk, mikor nem is voltunk képesek felmérni, mekkora fába vágtuk a fejszénket - és néha milyen jól jött, hogy emiatt megijedni, visszarettenni sem volt lehetőségünk. Hálás vagyok azért, mert ez a kísérletező kedv, ez a szabályok és a berögződött reflexeket felülírni akaró szemlélet, ez a kreatív energia mind a mai napig áthatja a csapatot.

Hálás vagyok, hogy a tíz év során időről-időre feltettük a kérdést magunknak mit és hogyan akarunk elérni közösen. Hálás vagyok Törőért, mert segített nekünk rátalálni egy őszinte és előremutató vízióra, segített megérteni, hogy ahogy a cégnek ugyanúgy eredménye, terméke, hogy milyen munkahelyeket hoz létre, hogy milyen kollegiális viszonyban és hogyan dolgozunk együtt, tudatosodott bennünk, hogy milyen ügyeket, célokat és cégeket szolgálunk és segítünk.

Hálás vagyok a sok projektért, pilotért és oktatásért, hálás vagyok a dmlab-ból induló, “spin-off-oló� startupért és azok sikeréért. Büszkék vagyunk rátok.

Hálás vagyok a tíz évet folyton átszövő változásokért. Még úgy is, hogy tudom, hogy nem minden változás fejlődés, és nem minden fejlődés gyarapodás volt a dmlabban. De álltuk a sarat, megtaláltuk az új helyzetekben a lehetőséget, és szinte kivétel nélkül ki tudtuk használni azt. A napokban kezembe került a dmlab egy kilenc éve született stratégiai terve. Mellbevágó volt belenézni, és látni hogy mennyire keveset változtak a lényegi dolgok tíz év alatt, miközben mégis minden megváltozott: a szakma, a piac, és mi magunk is mennyit fejlődtünk.

Köszönjük.

“Ez jó mulatság, férfi munka volt!�

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The Jedox Roadshow comes to Brisbane

The Jedox Roadshow comes to Brisbane

Jedox is one of the best unknown data platforms I know of.  Calling them unknown may sound a little harsh because they are a major product however, I say unknown because I don’t see them being considered for purchase in a large number of companies when they are clearly a fit for purpose product – […]
The Basics of Deep Learning and How It Is Revolutionizing Technology

The Basics of Deep Learning and How It Is Revolutionizing Technology

Machine learning refers to a type of Artificial Intelligence (AI) that allows computers to learn beyond their initial static programming. These new programs are developed to analyze patterns in past data sets in order to adapt. More advanced computer programs are even capable of altering their code in response to prior exposure to an unfamiliar set of inputs, which opens a whole set of possibilities for the future of AI.

Some of the recent applications of machine learning include Google’s self-driving car and the algorithm behind the success of its web search function, companies providing online recommendation offers based on user's’ browsing history, and fraud detection.

Deep learning is a branch of machine learning that focuses on the neural network model inspired by our understanding of the biology of the human brain. The human brain contains billions of neurons that are capable of sending signals and connecting to each other within a certain physical distance. Programmers incorporated that structure by creating artificial neural networks that have discrete layers, connections, and directions in which the data propagates.

How Does Deep Learning Work?

Deep learning enables computer programs to process a lot of input data simultaneously, and use it to make decisions based on the ...


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How Secure is Your Cloud Computing?

How Secure is Your Cloud Computing?

For many businesses, cloud storage has become the new norm for storing and sharing files across departments. It’s highly convenient and gives employees access to data across multiple devices wherever they are. As more and more options become available, more and more of our personal and confidential business data gets stored on the cloud. But just how secure is that information?

After the iCloud celebrity photo breach, the use and faith in cloud storage declined, which also meant that the demand for security on cloud storage went up. It is important to note that computers, cloud storage and hybrid cloud storage are always susceptible and there is no perfect system, but that doesn’t mean you shouldn’t use one of the best and convenient pieces of technology out there. Instead, be smart about how you and your employees use it and follow these guidelines to ensure that your data is as secure as it can get on the cloud.

First and foremost, ditch the easy passwords. Nearly every website or account you use needs a username and password, and keeping track of those can be extremely frustrating and daunting which is why many resort to duplicating passwords or relying on easy info like ...


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Why Marketing Automation Won’t Work Without Data Quality Measures

Why Marketing Automation Won’t Work Without Data Quality Measures

Yesterday, actually it was a normal day for me, I again experienced why marketing automation won’t work without data quality measures. I attended a webinar by a French marketing automation company who had a really nice tool to track customers on the website and collect leads for further processing. They have put much effort on a rule based engine to segment leads and a state of the art backend to have a nice working environment. I then asked: What happens if a person mistyped his e-mail address? What happens if a person set fills out his name in lowercase? What happens if the person has a typo in the postal address? First there was no answer. But then the webinar leader said: Why should someone do that? The answer is easy: Because we are human! There is a certain percentage of people who are not 100% concentrated when filling out a form. Maybe because they are using their smartphone where a typo can happen very easily, or they simply don’t know their correct e-mail address (I have often seen Austrian or German e-mail addresses with @gmail.at or @gmail.de – but, as we all know, there is only gmail.com).

So this sophisticated ...


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What Innovations Will Big Data Bring Us by 2020?

What Innovations Will Big Data Bring Us by 2020?

As we move more businesses, communication, and entertainment online, large amounts of data are exponentially generated with each passing year. The data is so much that it's becoming tough to keep track of it, let alone analyzing or organizing it.

Although the origins of big data are somewhat murky, its impacts are becoming crystal clear. More devices get connected to the internet like never before, and this information is a potential goldmine for educational, commercial, and humanitarian efforts. The need to organize and analyze the massive chunks of data has become necessary. More companies for handling big data have emerged to meet these challenges. By utilizing advanced database management technology, companies, medical organizations, universities and governments can now harvest information and improve efficiency.

Other than providing a chance to make significant economic impacts, big data manipulation will create innovations that will revolutionize our lives completely by 2020. Here is how:

Apps and sites will be more functional and safer

With big data, it will be easy to identify and track any fraudulent behavior so as improve websites security. Big data can bring new visibility into everything that is going within a firm's network and assist in predicting upcoming attacks. Experts think that big data ...


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