Disruptive analytics: Charting your strategy for next-generation business analytics

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Abstract

Learn all you need to know about seven key innovations disrupting business analytics today. These innovations-the open source business model, cloud analytics, the Hadoop ecosystem, Spark and in-memory analytics, streaming analytics, Deep Learning, and self-service analytics-are radically changing how businesses use data for competitive advantage. Taken together, they are disrupting the business analytics value chain, creating new opportunities. Enterprises who seize the opportunity will thrive and prosper, while others struggle and decline: disrupt or be disrupted. Disruptive Business Analytics provides strategies to profit from disruption. It shows you how to organize for insight, build and provision an open source stack, how to practice lean data warehousing, and how to assimilate disruptive innovations into an organization. Through a short history of business analytics and a detailed survey of products and services, analytics authority Thomas W. Dinsmore provides a practical explanation of the most compelling innovations available today.

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Dinsmore, T. W. (2016). Disruptive analytics: Charting your strategy for next-generation business analytics. Disruptive Analytics: Charting Your Strategy for Next-Generation Business Analytics (pp. 1–262). Apress Media LLC. https://doi.org/10.1007/978-1-4842-1311-7

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