TRACK
4

Self-service and predictive analytics

Case study: Best practices from The Irvine Company for deploying and optimizing SAP Predictive Analysis

Ken Wong, The Irvine Company
Tuesday, March 10, 2015
8:30 AM - 9:45 AM
113

Attend this session for insight into how The Irvine Company enhanced its BI strategy to include predictive analytics capabilities. Come away with firsthand lessons from the company to help you determine the business scenarios in which predictive analytics can provide the greatest value, and get lessons on:

  • SAP Predictive Analysis data source integration, open-source R configuration, visualization, and SAP BusinessObjects BI 4.0 integration
  • Required skill sets associated with SAP Predictive Analysis, including the new role of a "data scientist" as well as proficiency in statistics analysis and predictive algorithms
  • Identifying appropriate use cases to include in initial proof of concept