SAPinsider BI / HANA 2017

BI 2017 is the strategic and technical conference for professionals who use and support SAP® BusinessObjects™ BI, SAP BW, and analytics solutions. HANA 2017 is the definitive conference for organizations evaluating, implementing, and optimizing SAP HANA® for big data and real-time analytics. Top experts from SAP, leading independent consulting firms, and your industry counterparts will present roadmaps, tips, tricks, best practices, and strategic recommendations that you can immediately put to use upon returning to the office.

Pre-Conference Session:

Sunday, Feb. 26, 2017

9:00 am - 12:00 pm
Don Loden - Important Considerations for Designing Successful SAP HANA Analytical Models

1:00 pm – 4:00 pm
Beth Barnes – Understanding SAP’s Solutions for Data Quality Management – Essential Tools and Techniques for the World of Real-Time Data

Conference Sessions:

Monday, Feb. 27, 2017

1:00 pm - 2:00 pm
David Bath - Preparing for SAP BusinessObjects Cloud for Planning and Analytics: Take Your Planning and Forecasting Models to the Next Level

3:00 pm - 5:00 pm
Chris Hickman - Using SAP BusinessObjects Cloud with Your On-Premise SAP HANA Installation

5:30pm
Chrisk Hickman - Ask The Experts

Tuesday, Feb. 28, 2017

8:30 am - 9:30 am
Marty Gassner - Data Services On-Demand: Run Your Own Darn ETL Jobs!

11:30 am - 12:30 pm

Wednesday, Mar. 1, 2017

11:30 am - 12:30 pm
Marshall Kelley - Accommodating Various Analytic Use Cases by Optimizing SAP HANA Views for Speed, Flexibility, and Reusability

1:30 pm - 2:30 pm
Sriram Velicheti - Your BW Strategy - Should it be SAP BW on SAP HANA or SAP HANA Enterprise?

Customer Stories:

Wednesday, Mar. 1, 2017

8:30 am - 9:30 am
Jeff Stout, C Spire - Case Study: Tools and Strategies C Spire Uses to Advance Self-Service for Business Analytst and Users at All Levels of the Organization

Thursday, Mar. 2, 2017

11:00 am - 12:00 pm
Jeff Stout, C Spire - Case Study: How C Spire Leverages SAP BusinessObjects Design Studio to Build Interactive Dashboards for Multiple User Types and Multiple Data Sources