Analytics 3.0: Big Data and Small Data in Big and Small Companies (Thomas H. Davenport)

Summary: Many companies and observers are excited about the possibility of competitive advantage from analytics on "big data," but many don’t understand the differences between big and small data analytics. There are also substantial differences in how large, established organizations and startups approach big data. In this presentation, Tom Davenport will describe what organizations are attempting to accomplish with big data. Several leading examples of companies—large firms and startup—that are aggressively pursuing big data will be presented. Davenport will then describe how big data differs from previous approaches to analytics and data management on small data. Finally, he'll address some of the key factors that big and small data analytics have in common, and will describe his ideas on their integration using the “Analytics 3.0” framework he has developed.