As organizations adapt their strategies to promising nascent capabilities to discover and curate massive amounts of new and highly dynamic data, challenges are emerging in the form of how to ask meaningful questions. Exploiting the opportunities and avoiding the pitfalls of the "v's" of large amounts of data (e.g. volume, variety, velocity, veracity) is occupying significant mindshare for data science professionals. In the business-to-business space, these challenges are creating both significant opportunity and ominous new types of risk. While the vast availability and dynamic nature of data are allowing business counterparties to find and do business with each other in new and exciting ways, there are also new bad behaviors, false assumptions, and wholly inappropriate methods of problem formulation that are driving great risk at alarmingly increasing rates. This session will address the phenomena impacting business-to-business decisions in the era of massively available data.
