Greg Siino, University of California, Davis
Join this panel discussion to explore next-generation BI from the perspective of those institutions just getting started. What is next-generation BI? Should institutions develop a traditional star-schema data warehouse and reporting solution or possibly leapfrog to data virtualization, data lakes, Hadoop, Hana, self-service analytics, cloud, etc. Which BI components are foundational to both “traditional” and “next generation” and which components can be skipped in favor of new approaches? Even if you must go through traditional stages of maturity, are there ways to fast track the foundational work to quickly get to leading-edge BI? What role does governance and executive sponsorship play? How does make vs. buy factor into the approach? We’ll engage with BI leaders from institutions with varying levels of BI maturity to gain their insights. This will be a highly interactive session with opportunities for those joining the session to share their expertise too.