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Bill Schmarzo

Bill Schmarzo
CTO, EMC Consulting

Website | @schmarzo

Bill Schmarzo, author of the upcoming Big Data: Understanding How Data Powers Big Business, to be published by Wiley, 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. He’s written several white papers and is a frequent speaker on the use of big data and advanced analytics to power an organization’s key business initiatives.

Bill has more than two decades of experience in data warehousing, BI, and analytics applications. Bill authored the Business Benefits Analysis methodology that links an organization’s strategic business initiatives with their supporting data and analytic requirements, and co-authored with Ralph Kimball a series of articles on analytic applications. Bill 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 holds a masters degree in business administration from the University of Iowa and a bachelor of science degree in mathematics, computer science, and business administration from Coe College.

Recent blogs can be found at: http://infocus.emc.com/author/william_schmarzo/

Sessions

Enterprise Data Grand Ballroom West
Bill Schmarzo (EMC Consulting), John Akred (Silicon Valley Data Science), Anand Raman (Impetus Technologies), Scott Rose (Think Big Analytics)
Average rating: ***..
(3.67, 3 ratings)
Opinions might be plentiful in big data, but experience is rare. Join this interactive session to quiz some of the industry's most seasoned minds about what works and what doesn't when it comes to bringing big data to business. Read more.

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