Big data and data science have great potential for accelerating business, but how do you reconcile the business opportunity with the sea of possible technical solutions? Fundamentally, data should serve the strategic imperatives of a business—those key strategic aspirations that define the future vision for an organization. A data strategy should guide your organization in two key areas: what actions your business should take to get started with data and where to start to realize the most value. Edd Wilder-James and Colette Glaeser explain how to create a modern data strategy that powers data-driven business.
Colette Glaeser is a principal data strategist at Silicon Valley Data Science. With a proven track record in applying analytics to provide a competitive advantage, Colette brings over 20 years of experience in driving business development, customer insight, operational analysis, and continuous process improvement across a range of industries. She uses her full understanding of the types of business questions that surface in support of profitability growth initiatives as well as an arsenal of analytic tools, methods, and technologies to translate data into insights that are actionable.
Edd Wilder-James is a technology analyst, writer, and entrepreneur based in California. He’s helping transform businesses with data as VP of strategy for Silicon Valley Data Science. Formerly Edd Dumbill, Edd was the founding program chair for the O’Reilly Strata conferences and chaired the Open Source Convention for six years. He was also the founding editor of the peer-reviewed journal Big Data. A startup veteran, Edd was the founder and creator of the Expectnation conference-management system and a cofounder of the Pharmalicensing.com online intellectual-property exchange. An advocate and contributor to open source software, Edd has contributed to various projects such as Debian and GNOME and created the DOAP vocabulary for describing software projects. Edd has written four books, including O’Reilly’s Learning Rails.
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