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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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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