Data is Dead?Without What-If Models
Current database technology has raised the art of scalable descriptive analytics to a very high level. Unfortunately, what enterprises really need is prescriptive analytics to identify optimal business, policy, investment, and engineering decisions in the face of uncertainty. Such analytics, in turn, rest on deep predictive analytics that go beyond mere statistical forecasting and are imbued with an understanding of the fundamental mechanisms that govern a system's behavior, allowing what-if analyses. The database community needs to put what-if models and data on equal footing, developing systems that use both data and models to make sense of rich, real-world complexity and to support real-world decision-making.