As analytics have become more sophisticated, users have moved from descriptive to predictive, and more recently, to prescriptive analytic techniques. Each provides a different view of data and can help deliver a different analytically driven use case. The human factor prevalent in all three types is now being replaced by automation giving way to a new type of analytic that Tom Davenport describes as "Automated Analytics". These more sophisticated styles of analytic provide companies with the means to act faster and interact with customers in a more personalized fashion. These innovations open the door to concerns for privacy and highlight the line between innovation and privacy concerns. The question at hand is; can prescriptive and automated analytics create more harm than good under certain circumstances?
In this week’s #ThinkChat segment, Tom Davenport, John Thompson, and I discuss the need for communication, context, and transparency when leveraging advanced analytics and the importance of serving customers not surprising them.
#ThinkChat Conversation with Tom Davenport, John Thompson Part 2 of 8
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About Shawn Rogers
Shawn Rogers is Chief Research Officer for the Information Management Group at Dell Software. Shawn is an internationally recognized thought leader, speaker, author and instructor on the topics of IoT, big data, analytics, business intelligence, cloud, data integration, data warehousing and social analytics. Shawn has more than 19 years of hands-on IT experience. Prior to joining Dell he was Vice President Research for Business Intelligence and Analytics at Enterprise Management Associates a leading analyst firm. Shawn helps customers apply technology to fuel innovation and create value with data.
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