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Webcast Information

Data continues to grow exponentially, yet few organizations are truly realizing the value of “Big Data.” This session reviews SAP’s vision of intelligent data and how organizations can adopt it to create their own “art of the possible” perspectives to harness the power of Big Data and analytics for the intelligent enterprise using SAP technologies and solutions.

The effective exploitation of Big Data is directly dependent on an organization’s maturity and its ability to execute. The session will therefore also focus on matching organizational maturity to exploiting insights into Big Data and information architecture options.

Key Topics

Understanding SAP’s vision of the intelligent enterprise
Review of data-driven intelligent industry scenarios and leaders
Introduction to the Big Data exploitation maturity curve
Potential use case scenarios for the intelligent enterprise
Information architecture options
Role of “design thinking” workshops in developing intelligent enterprise road maps

Visit the Analytics Webcast Series Web page to view all upcoming and on-demand Webcasts for analytics solutions.

Featured Speakers

Mimi Spier, Senior Director, Marketing, SAP

Mimi Spier has spent the last 18 years strategizing, building, launching and implementing software applications for world-class enterprise companies, like Oracle, BusinessObjects, Hyperion and SAP. In her current role at SAP as Sr. Director, Marketing, Mimi is responsible for the GTM strategy and marketing for Analytics.

Pat Saporito, Senior Director of BI, Global COE for Analytics, SAP

Pat has over 25 years of experience in business intelligence (BI), data warehousing, and information management. She has held various positions at SAP in performance management, analytic applications, and consulting to help customers improve business performance. She is a recognized insurance industry analytics thought leader and is published regularly in Best Review magazine.

Christian Blumhoff, Senior Director of BI, Global COE for Analytics, SAP

Christian has over 20 years of experience in information architecture and data design. Working closely with industry leaders in developing Big Data architectures for public sector, utilities, and consumer packaged goods companies, he has acquired a wealth of experience.