Presented By O'Reilly and Cloudera
Make Data Work
September 25–26, 2017: Training
September 26–28, 2017: Tutorials & Conference
New York, NY
Bill Schmarzo

Bill Schmarzo
CTO, Big Data Practice, EMC

Website | @schmarzo

William Schmarzo is the CTO of Dell EMC’s Big Data practice, where he is responsible for setting the strategy and defining the service line offerings and capabilities for the EMC Consulting Enterprise Information Management and Analytics service line. Bill has more than two decades of experience in data warehousing, BI, and analytics applications. He authored the Business Benefits Analysis methodology that links an organization’s strategic business initiatives with their supporting data and analytic requirements and has served on the Data Warehouse Institute’s faculty as the head of the analytic applications curriculum. Previously, Bill was the vice president of analytics at Yahoo, where he was responsible for the development of Yahoo’s Advertiser and Website analytics products, including the delivery of actionable insights through a holistic user experience. Before that, Bill oversaw the Analytic Applications business unit at Business Objects, including the development, marketing, and sales of their industry-defining analytic applications. Bill is the author of Big Data: Understanding How Data Powers Big Business, has written several whitepapers, and coauthored a series of articles on analytic applications with Ralph Kimball. He is a frequent speaker on the use of big data and advanced analytics to power an organization’s key business initiatives. Bill holds a master’s degree in business administration from the University of Iowa and a bachelor of science in mathematics, computer science, and business administration from Coe College.

Sessions

2:55pm3:35pm Thursday, September 28, 2017
Executive Briefing, Strata Business Summit
Location: 1E 12/13 Level: Non-technical
Average rating: *****
(5.00, 4 ratings)
Organizations need a process and supporting frameworks to become more effective at leveraging data and analytics to transform their business models. Using the Big Data Business Model Maturity Index as a guide, William Schmarzo demonstrates how to assess business value and implementation feasibility with respect to the monetization potential of an organization’s business use cases. Read more.