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Item Details
Title: ENTERPRISE ANALYTICS
OPTIMIZE PERFORMANCE, PROCESS AND DECISIONS THROUGH BIG DATA
By: Thomas H. Davenport, International Institute for Analytics
Format: Hardback

List price: £36.99


We currently do not stock this item, please contact the publisher directly for further information.

ISBN 10: 0133039439
ISBN 13: 9780133039436
Publisher: PEARSON EDUCATION (US)
Pub. date: 13 September, 2012
Pages: 304
Description: "International Institute for Analytics"--Dust jacket.
Synopsis: The Definitive Guide to Enterprise-Level Analytics Strategy, Technology, Implementation, and Management Organizations are capturing exponentially larger amounts of data than ever, and now they have to figure out what to do with it. Using analytics, you can harness this data, discover hidden patterns, and use this knowledge to act meaningfully for competitive advantage. Suddenly, you can go beyond understanding "how, when, and where" events have occurred, to understand why - and use this knowledge to reshape the future. Now, analytics pioneer Tom Davenport and the world-renowned experts at the International Institute for Analytics (IIA) have brought together the latest techniques, best practices, and research on analytics in a single primer for maximizing the value of enterprise data. Enterprise Analytics is today's definitive guide to analytics strategy, planning, organization, implementation, and usage. It covers everything from building better analytics organizations to gathering data; implementing predictive analytics to linking analysis with organizational performance.The authors offer specific insights for optimizing supply chains, online services, marketing, fraud detection, and many other business functions. They support their powerful techniques with many real-world examples, including chapter-length case studies from healthcare, retail, and financial services. Enterprise Analytics will be an invaluable resource for every business and technical professional who wants to make better data-driven decisions: operations, supply chain, and product managers; product, financial, and marketing analysts; CIOs and other IT leaders; data, web, and data warehouse specialists, and many others.
Illustrations: Illustrations
Publication: US
Imprint: Financial TImes Prentice Hall
Returns: Returnable
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