Organizations do not need a big data strategy. They need a business strategy that incorporates big data. Most organizations lack a roadmap for using big data to optimize key business processes, deliver a differentiated customer experience, or uncover new business opportunities. They do not understand the “realm of the possible” with respect to integrating big data into the business model.
Bill Schmarzo explains how to explore, justify, and plan big data projects with business management. Bill presents a process that decomposes an organization’s key business initiatives into its supporting data, analytics and technology strategy, and roadmap, provides tools to help brainstorm those data sources that might yield better predictors or enablers of business performance, and shares worksheets for assessing the business value and implementation feasibility of the data with respect to the organization’s big data use cases. Over the course of the presentation, Bill will also help attendees identify likely big data and data lake technologies and architectures to support their big data strategy.
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.
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