Prerequisite: None
Diverse data has the potential to ignite innovation; organizations increasingly want to be data-driven, not merely data-aware. However, legacy, one-size-fits-all BI and data warehousing systems are falling short as use cases push beyond simple, carefully managed, and predefined data consumption and involve more ad hoc interaction. This session will discuss key opportunities and challenges regarding data architecture modernization along with recommendations for enabling users to explore larger data sets and investigate data interactively. By understanding situations in real time, users can quickly uncover root causes, analyze data relationships, and determine the best course of action.