Enterprise Analytics: Optimize Performance, Process, and Decisions Through Big DataКНИГИ » БИЗНЕС И ЭКОНОМИКА
Название: Enterprise Analytics: Optimize Performance, Process, and Decisions Through Big Data Автор: Thomas H. Davenport Издательство: Pearson FT Press Год: 2014 ISBN: 9780133039436 Серия: FT Press Operations Management Формат: epub Страниц: 304 Размер: 6,9 mb Язык: English
• From the International Institute for Analytics, the world’s premier analytics research organization • Proven best practices for choosing projects and technology, building analytics organizations, and measuring ROI • Brand-new case studies from finance, healthcare, technology, retail, manufacturing, and beyond
As businesses recognize the immense potential of analytics, they are increasingly treating it as an enterprise resource and an enterprise priority. Now, the world’s leading researchers on large-scale analytics have brought together today’s best practices for planning, implementing, managing, and succeeding with analytics on an enterprise level.
Drawing on their pioneering work at the International Institute for Analytics, the authors illuminate the entire analytics lifecycle, addressing technology, applications, operations, governance, strategy, and more. They offer actionable solutions for leveraging proprietary data, gaining a new 360-degree view of the customer, measuring engagement in actionable ways, optimizing “next best offers,” applying analytics at production scale, using cloud resources, and linking analytics directly to business performance. Then, in a full section on the crucial human side of analytics, they address everything from building and governing analytics organizations to integrating analytics throughout global businesses.
Whether you’re an analyst, manager, strategist, executive, or technology vendor, this book will help you implement large-scale analytics faster, avoid crucial missteps, and capture far more value.
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Enterprise Analytics: Optimize Performance, Process, and Decisions Through Big Data 
