Big Data on the Move: What’s in Store for 2017?

By Dr. Paul Terry, CEO, PHEMI

Over the past year, there clearly has been some major movement in trends associated with big data. As we move into the New Year, it’s helpful to explore features that are quickly becoming essentials for organizations that want to get the most value out of their data, and help ensure their big data system isn’t a big hassle.

By now, big data’s immense capabilities are well known. Businesses are excited to leverage all of their data, but they still run into roadblocks. They may execute small projects, but not have the necessary privacy and governance features to meet the demands of a production environment. Or they want to collect data from newly connected devices, but can’t handle the privacy issues that come with this new data. When businesses compile all their different data types to run analytics and unlock new discoveries, some of their most sensitive information is almost always included. 47% of over 3,500 global security decision-makers surveyed by Forrester (“Big Data Security Strategies For Hadoop Enterprise Data Lake”, April 2016 Forrester Report) were concerned with the risks associated with big data analytics for business decision-making.

Companies need systems that ensure only the right people see the right details of their data, and the technology is maturing to meet that expectation. For the modern big data solution, privacy and governance features are key; they can’t just be afterthoughts. Only recently are the necessary privacy and governance tools being designed into big data solutions from the start.

View the original article here.

As CEO of PHEMI Systems, Dr. Terry is a renowned big data expert and a frequent participant on the speaker front, delivering a visionary approach to technology that can help enterprises across industries capitalize on their data and become data-driven innovators. Most recently, he spoke at the Life Science of Manitoba Annual General Meeting where he demonstrated the intrinsic value that can be derived from big data and explored ways companies can capitalize on secondary uses of data, while maintaining the requisite privacy, security and governance of personal information.


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