Companies are wrestling with the challenges of managing and exploiting big data. Larger, more diverse data sources and the business need for low-latency access to that data combine to provide new data monetization opportunities. But “bolting” analytics onto your existing data warehouse and business intelligence environment does not work.
How do business owners and IT work together to identify the right business problem and then design the right architecture, to exploit these new data monetization opportunities? How do you ensure the successful deployment of these new capabilities, given the historically high rate of failure for new technologies?
This session will present a tried and proven methodology that is based upon a simple premise — business opportunities must drive all information technology deployments. While a technology-led approach is useful for helping an organization gain insight into what a new technology does, it is critical that the business opportunities drive the “why,” “how,” and “where” to implement new technologies.
This methodology provides the following key benefits:
Case study examples will demonstrate its use.
Global Competency Lead and CTO, Enterprise Information Management Practice
Bill Schmarzo has more than two decades of experience in data warehousing, BI and analytic 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-leading 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.
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