Sherman, Rick

Business intelligence guidebook : from data integration to analytics Rick Sherman - Amsterdam : Elsevier/​Morgan Kaufmann, c2015. - xxiii, 525 p. : ill. ; 24 cm.

Foreword by Claudia Imhoff -- cover.
Includes bibliographical references and index.
Tertiary/​Undergraduate, Postgraduate.



Concepts and Context 1 Introduction Business and Technical Needs 2 Justifying BI (Building Business and Technical Case 3 Defining Requirements - Business, Data and Quality Architectural Framework 4 Architecture Introduction 5 Information Architecture 6 Data Architecture 7 Technology and Product Architectures Data Design 8 Foundational Data Modeling 9 Dimensional Modeling 10 Advanced Dimensional Modeling Data Integration Design 11 Data Integration Processes 12 Data Integration Design & Development BI Design 13 BI Applications 14 BI Design & Development 15 Advanced Analytics 16 Data Shadow Systems Organization 17 People, Process and Politics 18 Project Management 19 Centers of Excellence.

Between the high-level concepts of business intelligence and the nitty-gritty instructions for using vendors tools lies the essential, yet poorly understood layer of architecture, design, and process. Without this knowledge, Big Data is belittled - projects flounder, are late, and go over budget.



9780124114616

2014031205


Business intelligence
Management

658.472 SH BU

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