The GDPR: 5 Questions Data-Driven Companies Should Ask to Manage Risks and Reputation

The GDPR: 5 Questions Data-Driven Companies Should Ask to Manage Risks and Reputation

Data is rapidly becoming the lifeblood of the global economy. In the world of Big Data and artificial intelligence, data represents a new type of economic asset that can offer companies a decisive competitive advantage, as well as damage the reputation and bottom-line of those that remain unsuccessful at ensuring the security and confidentiality of critical corporate and customer data. 

Despite the severe repercussions of compromised data security, until recently, the fines for breach of data protection regulations were limited and enforcement actions infrequent. However, the introduction of a potentially revolutionary European General Data Protection Regulation (GDPR) is likely to transform the way data-driven companies handle customer data by exposing them to the risk of hefty fines and severe penalties in the event of incompliance and data breach. 



In this article, I have tried to summarise the implications of GDPR implementation for data-driven companies, as well as the measures businesses can take to ensure the security and privacy of client’s data and avoid the penalties associated with non-compliance. 

How Does GDPR Impact Data-Driven Organisations? 

The General Data Protection Regulation (GDPR) stands out from all existing regulations because of its breadth of client data protection. From conditions on cross-border data transfer to the need to implement, ...


Read More on Datafloq
The IoT-Connected Car of Today— Cases From Hertz, Nokia, NTT, Mojio & Concur Technologies

The IoT-Connected Car of Today— Cases From Hertz, Nokia, NTT, Mojio & Concur Technologies

Imagine a world where your car not only drives itself, but also says intelligent things like these:


A hotel is just around the corner and you have been driving for eight hours. Would you like to reserve a room and take rest for a couple of hours?
You last serviced the brakes twelve months ago and you have driven your car about 20.000 miles in this duration. Would you like me to find a dealer and book an appointment?


This would look like an impossibility about five years ago when the world was unaware of a technology called the Internet of Things (IoT), but today, the IoT is already breaking fresh ground for tech companies and car manufacturers, enabling them to realize their idea of a ‘connected car.’

I recently attended Mobile World Congress (#MWC17) in Barcelona where SAP announced its collaboration with Hertz, Nokia and Concur Technologies. The purpose of this new partnership is to leverage IoT to offer an intelligent, automated experience to car users. SAP also announced its collaboration with Mojio, the connected vehicle platform and app provider for T-Mobile USA and Deutsche Telekom. The integration of Mojio’s cloud computing capabilities with SAP Vehicles Network will make parking and fueling process a ...


Read More on Datafloq
How B2B Ecosystems & (Big) Data Can Transform Sales and Marketing Practices

How B2B Ecosystems & (Big) Data Can Transform Sales and Marketing Practices

Managing your relationships with customers, suppliers, and partners and constantly improving their experience is a proven way to build a sustainable and profitable business, and contrary to popular assumption, this doesn’t apply to B2C businesses only. With 89% of B2B research studies using the internet during the internet research process, improved collaboration to deepen existing customer relationships and build new ones is vital to running a successful B2B business as well.  

This increasing need for collaboration has led to the development of digital ecosystems. Players like Apple and Google present an interesting case for how B2C ecosystems work. Consider Apple, which is primarily a B2C tech vendor, but it has built a new smart business model that pulls together technologies from multiple domains and combines them to form a solution that wins buyers acceptance. Amazon, Facebook, and Google are working on a similar kind of business model as well.

So, considering the examples of these tech giants, one can suggest that in this era of personalized customer experiences, B2B ecosystems are no longer an add-on; instead, they have become a necessity for progressive B2B businesses. 

Offering valuable insights into customer journey, B2B ecosystems work by segmenting and targeting your audience, allowing you to ...


Read More on Datafloq
How IoT is Changing the World: Cases from Visa, Airbus, Bosch & SNCF

How IoT is Changing the World: Cases from Visa, Airbus, Bosch & SNCF


The Internet of Things (IoT) is changing our world. This may seem like a bold statement, but consider the impact this revolutionary technology has already had on communications, education, manufacturing, science, business, and many other fields of life. Clearly, the IoT is moving really fast from concept to reality and transforming how industries operate and create value. 

As the IoT creeps towards mass adoption, IT giants experiment and innovate with the technology to explore new opportunities and create new revenue streams. I was invited to Genius of Things Summit as a Futurist by Watson IoT and WIRED Insider and attended the long-awaited grand opening of IBM’s headquarters for Watson Internet of Things in Munich. The two-day event provided me an insight into what IBM’s doing to constantly push the boundaries of what’s possible with the IoT.

In this article, I have discussed the major developments that caught my interest and that, in my opinion, will impact and improve customer experience substantially. 

IoT capabilities become an integral part of our lifestyle

According to IBM the number of connected devices is expecting to rise as high as 30 billion in the next three years. This increasingly connected culture presents businesses with an opportunity to harness digital ...


Read More on Datafloq
Designing the Data Management Infrastructure of Tomorrow

Designing the Data Management Infrastructure of Tomorrow

Today, more than ever before, organisations realise the strategic importance of data and consider it to be a corporate asset that must be managed and protected just like any other asset. Considering the strategic importance of data, increasing number of farsighted organisations are investing in the tools, skills, and infrastructure required to capture, store, manage, and analyse data. 

More organisations are now viewing data management as a holistic activity that requires enterprise-wide collaboration and coordination to share data across the organisation, extract insights, and rapidly convert them into action before opportunities are lost. However, despite the increasing investment in data management infrastructure, there are not many organisations that spend time and effort on anticipating the future events that may impact their data management practices. 

From upcoming rules and regulations to the need to create better customer experiences in order to discover hidden value in customer journeys, there are a number of factors that demand a more proactive approach from organisational leaders and decision makers when it comes to the planning and design of an enterprise’s data management infrastructure. 

Breaking Down the Data Silos 

When it comes to efficient data management, the biggest challenge that enterprises need to overcome is the elimination of the silos ...


Read More on Datafloq
How to Boost Your Career in Big Data and Analytics

How to Boost Your Career in Big Data and Analytics

The world is increasingly digital, and this means big data is here to stay. In fact, the importance of big data and data analytics is only going to continue growing in the coming years. It is a fantastic career move and it could be just the type of career you have been trying to find.

Professionals who are working in this field can expect an impressive salary, with the median salary for data scientists being $116,000. Even those who are at the entry level will find high salaries, with average earnings of $92,000. As more and more companies realize the need for specialists in big data and analytics, the number of these jobs will continue to grow. Close to 80% of the data scientists say there is currently a shortage of professionals working in the field.

What Type of Education Is Needed?

Most data scientists - 92% - have an advanced degree. Only eight percent have a bachelor’s degree; 44% have a master’s degree and 48% have a Ph.D. Therefore, it stands to reason that those who want to boost their career and have the best chance for a long and fruitful career with great compensation will work toward getting higher education.

Some of ...


Read More on Datafloq
Corporate Self-Service Analytics: 4 Questions You Should Ask Yourself Before You Start

Corporate Self-Service Analytics: 4 Questions You Should Ask Yourself Before You Start

Today’s customers are socially driven and more value conscious than they were ever before. Believe it or not, everyday customer interactions create a whopping 2.5 exabytes of data, which is equal to 1,000,000 terabytes, and this figure has been predicted to grow by 40 percent with every passing year. As organisations face the mounting challenges of coping with the surge in the amount of data and number of customer interactions, it has become extremely difficult to manage the huge quantities of information, whilst providing a satisfying customer experience. It is imperative for businesses and corporations to create a customer-centric experience by adopting a data-driven approach, based on predictive analytics.

Integrating an advanced self-service analytics (SSA) environment for strengthening your analytics and data handling strategy can prove to be beneficial for your business, regardless of the type and size of your enterprise. A corporate SSA environment can assist in dramatically improving your operations capabilities, as it provides an in-depth understanding of consumer data. This, in turn, facilitates your workforce in taking up a more responsive, nimble approach to analyzing data, and fosters fact-based decision making rather than on predictions and guesswork. Self-service analytics offers a wealth of intelligence and insights into how ...


Read More on Datafloq
How to Build a Data Science Team

How to Build a Data Science Team

Businesses today need to do more than merely acknowledge big data. They need to embrace data and analytics and make them an integral part of their company. Of course, this will require building a quality team of data scientists to handle the data and analytics for the company. Choosing the right members for the team can be difficult, mainly because the field is so new and many companies are still trying to learn exactly what a good data scientist should offer. Putting together an entire team has the potential to be more difficult. The following information should help to make the process easier.

The Right People

What roles need to be filled for a data science team? You will need to have data scientists who can work on large datasets and who understand the theory behind the science. They should also be capable of developing predictive models. Data engineers and data software developers are important, too. They need to understand architecture, infrastructure, and distributed programming.

Some of the other roles to fill in a data science team include the data solutions architect, data platform administrator, full-stack developer, and designer. Those companies that have teams focusing on building data products will also likely want ...


Read More on Datafloq
Journey Science in Telecom: Take Customer Experience to the Next Level

Journey Science in Telecom: Take Customer Experience to the Next Level

Journey Science, being derived from connected data from different customer activities, has become pivotal for the telecommunications industry, providing the means to drastically improve the customer experience and retention. It has the ability to link together scattered pieces of data, and enhance a telco business’s objectives. Siloed approaches are becoming obsolete – take call centers as an example – there is only so much that you can do with data from only one system.

By using insights from customer journey analytics, telco businesses can better measure the user experience, and make informed decision for refining it. The data not only allow them to take proactive approach towards customer satisfaction, but enable the prediction of future failures as well. With customer journey analytics, you can evaluate the touchpoints to journeys, and revamp your strategies to better cater to customers’ needs.

In the telecom industry, it is difficult for a business to effectively manage the massive volume of data with the existing systems and technology. There are several aspects where telecom companies need to make improvements, such as reduce costs, improve customer experience, increase conversion rates, and many more. To do so, they need to derive meaning from the collected data by finding ...


Read More on Datafloq
How to Discover Hidden Value in Your Customer Journey

How to Discover Hidden Value in Your Customer Journey

The world of business and customer service has changed immensely over the past few years. Whereas once business was largely driven by outbound marketing and advertising, in today’s world you have to consider the customer experience and your customers’ journey as they interact with your brand. 

Today, thanks to the advent of the Internet and mobile technology, customers can buy almost anything in the world online, and they can compare and contrast brands, prices, and quality with a few swipes on their phone, tablet, or smart watch. Customers today do not care as much about fancy advertising as they do about superior customer service and a quality experience as they work with your brand. They choose the brands they like based on the relationships that they can build with them.

Thus, as you consider efficient ways to improve your business, you should always prioritize customer experience and the customer journey. But what is the customer journey, and how can you leverage it to create more value for your business?

What Is the Customer Journey?

The customer journey is the path that a customer takes through various touch points as they interact with your brand and your products. These touch points are the individual transactions ...


Read More on Datafloq
What Is the Future of Data Warehousing?

What Is the Future of Data Warehousing?

There is no denying it – we live in The Age of the Customer. Consumers all over the world are now digitally empowered, and they have the means to decide which businesses will succeed and grow, and which ones will fail. As a result, most savvy businesses now understand that they must be customer-obsessed to succeed. They must have up-to-the-second data and analytical information so that they can give their customers what they want and provide the very best customer satisfaction possible.

This understanding has given rise to the concept of business intelligence (BI), the use of data mining, big data, and data analytics to analyze raw data and create faster, more effective business solutions. However, while the concept of BI is not necessarily new, traditional BI tactics are no longer enough to keep up and ensure success in the future. Today, traditional BI must be combined with agile BI (the use of agile software development to accelerate traditional BI for faster results and more adaptability) and big data to deliver the fastest and most useful insights so that businesses may convert, serve, and retain more customers.

Essentially, for a business to survive, BI must continuously evolve and adapt to improve agility ...


Read More on Datafloq
Why Do Television Companies Need a Digital Transformation

Why Do Television Companies Need a Digital Transformation

Over just a few years, the world of television production, distribution, and consumption has changed dramatically. In the past, with only a few channels to choose from, viewers watched news and entertainment television at specific times of the day or night. They were also limited by where and how to watch. Options included staying home, going to a friend’s house, or perhaps going to a restaurant or bar to watch a special game, show, news story, or event. When we are taking about the TV industry has now been completing and moving to the high definition from the standard definition, now the discussion is about 4K and 8K video standard. But before all these things happen, analog based broadcasting needs to transform digitally. That means TV industry is unavoidable needing a disruptive transformation in their ICT platform to cope with the new processes of acquisition, production, distribution and consumption.

Fast-forward to today, and you have a very different scenario. Thanks to the rise of the Internet – and, in particular, mobile technology – people have nearly limitless options for their news and entertainment sources. Not only that, but they can choose to get their news and other media on TV or ...


Read More on Datafloq
Machine Learning Becomes Mainstream: How to Increase Your Competitive Advantage

Machine Learning Becomes Mainstream: How to Increase Your Competitive Advantage

First there was big data – extremely large data sets that made it possible to use data analytics to reveal patterns and trends, allowing businesses to improve customer relations and production efficiency. Then came fast data analytics – the application of big data analytics in real-time to help solve issues with customer relations, security, and other challenges before they became problems. Now, with machine learning, the concepts of big data and fast data analytics can be used in combination with artificial intelligence (AI) to avoid these problems and challenges in the first place.

So what is machine learning, and how can it help your business? Machine learning is a subset of AI that lets computers “learn” without explicitly being programmed. Through machine learning, computers can develop the ability to learn through experience and search through data sets to detect patterns and trends. Instead of extracting that information for human comprehension and application, it will use it to adjust its own program actions.

What does that mean for your business? Machine learning can be used across industries, including but not limited to healthcare, automotive, financial services, cloud service providers, and more. With machine learning, professionals and businesses in these industries can get improved ...


Read More on Datafloq
Are CEO’s Missing out on Big Data’s Big Picture?

Are CEO’s Missing out on Big Data’s Big Picture?

Big data allows marketing and production strategists to see where their efforts are succeeding and where they need some work. With big data analytics, every move you make for your company can be backed by data and analytics. While every business venture involves some level of risk, with big data, that risk gets infinitesimally small, thanks to information and insights on market trends, customer behaviour, and more.

Unfortunately, however, many CEOs seem to think that big data is available to all of their employees as soon as it’s available to them. In one survey, nearly half of all CEOs polled thought that this information was disseminated quickly and that all of their employees had the information they needed to do their jobs. In the same survey, just a little over a quarter of employees responded in agreement.

Great Leadership Drives Big Data

In entirely too many cases, CEOs look at big data as something that spreads in real-time and that will just magically get to everyone who needs it in their companies. That’s not the case, though. Not all employees have access to the same data collection and analytics tools, and without the right data analysis and data science, all of that data does ...


Read More on Datafloq
How You Can Improve Customer Experience with Fast Data Analytics

How You Can Improve Customer Experience with Fast Data Analytics

In today’s constantly connected world, customers expect more than ever before from the companies they do business with. With the emergence of big data, businesses have been able to better meet and exceed customer expectations thanks to analytics and data science. However, the role of data in your business’ success doesn’t end with big data – now you can take your data mining and analytics to the next level to improve customer service and your business’ overall customer experience faster than you ever thought possible.

Fast data is basically the next step for analysis and application of large data sets (big data). With fast data, big data analytics can be applied to smaller data sets in real time to solve a number of problems for businesses across multiple industries. The goal of fast data analytics services is to mine raw data in real time and provide actionable information that businesses can use to improve their customer experience.


“Fast data analytics allows you to turn raw data into actionable insights instantly” - Albert Mavashev


Analyze Streaming Data with Ease

The Internet of Things (IoT) is growing at an incredible rate. People are using their phones and tablets to connect to their home thermostats, security systems, fitness ...


Read More on Datafloq
Learn the Art of Data Science in Five Steps

Learn the Art of Data Science in Five Steps

The field of data science is one of the youngest and most exciting fields in the technology sector. In no other industry or field can you combine statistics, data analysis, research, and marketing to do jobs that help businesses make the digital transformation and come to full digital maturity.

In today’s business world, companies can no longer afford to look at their websites and social media presences as add-ons or after thoughts. The success of the technological aspects of a company is as crucial to its overall success as any other department. To gain that kind of success online, businesses must embrace big data and analytics. They must learn about their customers’ behaviour online and specifically on their sites, and they must use data to drive their marketing and production strategies.

Data Science is dedicated to analyzing large data sets, showing trends in customer and market behaviours, predicting future trends, and finding algorithms to help improve the customer experience and increase sales for the future. To learn and dive into this intriguing new field, you’ll really only need to take five simple steps…

1. Get Passionate About Big Data

As you set out to learn this field and become a data scientist, you’ll find that ...


Read More on Datafloq
How Strategy – Not Technology – Is the Real Driver for Digital Transformation

How Strategy – Not Technology – Is the Real Driver for Digital Transformation

Business owners and executives today know the power of social media, mobile technology, cloud computing, and analytics. If you pay attention, however, you will notice that truly mature and successful digital businesses do not jump at every new technological tool or platform.

While they do not sit and wait for months or years to create social media pages or to take advantage of new analytical services, they do approach every piece of technology that they use with a solid strategy. Why? Marketing, production, and brand management require concrete planning to be effective and coherent. Implementing new technology without a set strategy is a recipe for failure – or, at the very least, for ineffective use of an otherwise powerful tool.

The Importance of Digital Strategy and Vision

To make the most use out of the technologies and tools available to your business today, you must have a coherent and cohesive digital strategy. Companies that have good digital strategies are said to be “digitally mature” and are more likely to embrace the most strategic technologies as they are developed, rather than casting about, trying everything, and failing to use most of it to their advantage.

A good digital strategy is born out of a vision ...


Read More on Datafloq
Understanding Big Data – Are Big Data Analytics Your Friend or Enemy?

Understanding Big Data – Are Big Data Analytics Your Friend or Enemy?

The term “Big Data” is highly reminiscent of terms like “Big Pharma”, and it has a tendency to make consumers and professionals alike a bit nervous. However, whereas Big Pharma refers to large pharmaceuticals companies with market sway and seemingly countless political lobbyists, big data simply refers to the exponentially rapid growth of large data sets and the ability to analyse them.

Why People Are Afraid of Big Data Analytics

On its own, big data is neither good nor evil – it’s just data. However, the ability to collect and analyse that data without individuals’ awareness is really what frightens people. When Edward Snowden exposed the NSA’s surveillance programs of private citizens of the United States, people were awakened to the idea that their information wasn’t necessarily private. Suddenly, personal security and privacy were no longer just threatened by hackers intent on identity theft – it was a larger, more insidious problem.

Whether they viewed Snowden as a traitor or a hero for the citizens of the United States, after all of this came to light, many people were suddenly very aware of (and very frightened by) the concept of big data. They had just seen big data in use as a tool ...


Read More on Datafloq
How a Digital Transformation Can Improve Customer Experience with Big Data

How a Digital Transformation Can Improve Customer Experience with Big Data

Do you know what your customers want when they visit your website? And do you know what makes them bounce away to visit another site instead of choosing products or services and continuing to checkout on your site?

All too often, business owners and executives accept customer behaviour on their websites as something natural and unavoidable. This is particularly unfortunate when they could be using big data and analytics to not only find out what obstacles or challenges are preventing them from completing more sales, getting higher overall values per sale, and increasing customer retention as well. All of this is possible with the help of big data and a digital transformation.

What Is a Digital Transformation and Why Is It Important?

Before we go any further, we must be clear – big data and analytics are nothing more or less than tools. The key to success in the twenty-first century is to perform a digital transformation. Your business needs to do more than adopt a few cool technologies and have presences online and on social media platforms – it needs to transform to incorporate these changes into its fabric and structure.

To better understand what we are talking about, consider how much your ...


Read More on Datafloq
How a Digital Transformation Can Improve Customer Experience with Big Data

How a Digital Transformation Can Improve Customer Experience with Big Data

Do you know what your customers want when they visit your website? And do you know what makes them bounce away to visit another site instead of choosing products or services and continuing to checkout on your site?

All too often, business owners and executives accept customer behaviour on their websites as something natural and unavoidable. This is particularly unfortunate when they could be using big data and analytics to not only find out what obstacles or challenges are preventing them from completing more sales, getting higher overall values per sale, and increasing customer retention as well. All of this is possible with the help of big data and a digital transformation.

 What Is a Digital Transformation and Why Is It Important?

Before we go any further, we must be clear – big data and analytics are nothing more or less than tools. The key to success in the twenty-first century is to perform a digital transformation. Your business needs to do more than adopt a few cool technologies and have presences online and on social media platforms – it needs to transform to incorporate these changes into its fabric and structure.

To better understand what we are talking about, consider how much your ...


Read More on Datafloq
How the Internet of Things Is Driving a Knowledge Revolution

How the Internet of Things Is Driving a Knowledge Revolution

Think about a few things in your life right now. It really doesn’t matter what they are, as long as you interact with them daily. They could be your phone, your shoes, your watch, your car, your refrigerator, your garage door opener…you get the idea. What do all of these things have in common (besides you, of course)? Well, at the moment, they may not have much of anything in common, but within the next decade, you can expect every last one of them to have Wi-Fi connections to the Internet.

The Internet of Things is an interesting concept because, on one level, it’s still largely theoretical, but on another it’s already a network that you use every single day. The strict definition of the Internet of Things (IoT) right now is, per the Oxford English Dictionary, “A proposed development of the Internet in which everyday objects have network connectivity, allowing them to send and receive data.”

As much as it’s still a “proposed” development, though, we’re seeing a lot more than proposals in the IoT. As just one example, are you one of the millions of people around the world using fitness trackers to check their daily activity and caloric output? ...


Read More on Datafloq
4 Questions You Should Ask Yourself Before You Implement Any Big Data Strategy

4 Questions You Should Ask Yourself Before You Implement Any Big Data Strategy

Whether you run a small business with just a few employees or you are in charge of a multinational corporation, you can benefit from an effective big data strategy. Thanks to website analytics, geo-location services, data mining, and the constant stream of data flowing to and from us through everyday devices and products, there is more market data available today than at any other time in history.

Not only that, but the amount of data we’re producing is growing at an incredibly rapid rate. In less than five years from today, experts predict that our annual data creation will reach nearly 45 trillion gigabytes. With mind-boggling amounts of data like that available to individuals, corporations, and governments, there is no question that your business needs a big data strategy.

Why? Even the most powerful computers aren’t going to sift aimlessly through multiple trillion gigabytes of information in a timeframe that will work for gathering information on your market and your target audience. Thus, you need a focused, data-driven strategy that will not just aim to collect information but to use that information in the most effective ways possible to help your business overcome obstacles and improve your bottom line.

So, before you dive ...


Read More on Datafloq
How to Improve Customer Experience by Quantifying Multichannel Issues?

How to Improve Customer Experience by Quantifying Multichannel Issues?

Every online professional knows that the usability of a website is a key factor in terms of the amount of sales it generates. Customer experience is the number one guideline when it comes to improving and optimising a website. If your data shows a drop in the amount of sales, there are several tools you can use to ‘replay’ visits on your website. However, you should take some important things into consideration in order to make the best possible use of these tools.

Replaying Visitor Behavior

Customer experience is all about getting to know your customers. What are their motives when deciding what they like to do? When your web data shows that you are missing sales on your website, there must be something that is driving your customers away, or making them postpone their purchases. Many companies use tools to replay the movement of visitors on their website, which is a good way to determine what happened during the visit. It tells you more about the actual reason for the drop-out.

Quantifying Issues

However, if you have a website with hundreds of thousands of visitors a day, it is impossible to replay all visits. And if you only watch a few of these, ...


Read More on Datafloq
How to Discover the Hidden Value in Your Customer Data?

How to Discover the Hidden Value in Your Customer Data?

As the field of analytics turns more and more predictive, emphasis on using data moves to discovering unknown landscapes. But moving beyond the obvious to completely understand your customers’ journey is a very complex step. How can you derive patterns from countless data sources to optimize customer experience and create a competitive advantage?

Creating a 360-Degree Customer View

Companies today are focusing on creating a 360-degree customer view. To do so, the first step is to have your data collection up and running, making sure that you can deliver data to a centralized environment, from which it can be used for further processing. In many cases, this environment is a data warehouse. In an ideal situation, all data from online channels, CRM technology, campaigns, call centers and order management is structured an gathered there to draw the best possible conclusions for optimization. However, this comes with many challenges to collect “good data” related to the volume, velocity, variety and veracity of data. We previously highlighted the struggle to stream web data to a data warehouse, but in the entire ETL process, there are many more. Luckily, one factor that has disappeared from the list of challenges is costs of data storage. That ...


Read More on Datafloq
360 Degrees Customer View and Its Web Data Collection Struggle

360 Degrees Customer View and Its Web Data Collection Struggle

Every big company continuously tries to create relevancy by differentiating itself from the competition. Big data offers tremendous chances to do so, and therefore many companies choose to differentiate through data. They collect, process and distribute data for analytics and construct a clear view of the customer. This 360 degree customer view helps companies to define the customer’s value to the business. This can then be the input for new campaigns, for instance to increase customer loyalty or to prevent churn.

To create this single customer view, many companies are turning to data warehousing. Throughout the entire company, there are several systems collecting massive amounts of data, such as the ERP, CRM, order process management, etc. All these tools deliver data to a data warehouse, for analysing and optimising operations and customer journeys. Many companies use data warehousing solutions by Teradata, Oracle, IBM or Microsoft for this cause. However, when it comes to delivering web data to the warehouse environment, many companies tend to struggle.

Web Analytics Tools

A common practise is the following situation: within a company a massive part of the customer journey takes place online on the website. The data from the website are however collected and processed by a ...


Read More on Datafloq

Privacy Policy

Copyright © 2017 BBBT - All Rights Reserved
Powered by WordPress & Atahualpa
X