Business Intelligence book cover

Business Intelligence

The Savvy Manager's Guide

Business Intelligence: The Savvy Managers Guide, Second Edition, discusses the objectives and practices for designing and deploying a business intelligence (BI) program. It looks at the basics of a BI program, from the value of information and the mechanics of planning for success to data model infrastructure, data preparation, data analysis, integration, knowledge discovery, and the actual use of discovered knowledge. Organized into 21 chapters, this book begins with an overview of the kind of knowledge that can be exposed and exploited through the use of BI. It then proceeds with a discussion of information use in the context of how value is created within an organization, how BI can improve the ways of doing business, and organizational preparedness for exploiting the results of a BI program. It also looks at some of the critical factors to be taken into account in the planning and execution of a successful BI program. In addition, the reader is introduced to considerations for developing the BI roadmap, the platforms for analysis such as data warehouses, and the concepts of business metadata. Other chapters focus on data preparation and data discovery, the business rules approach, and data mining techniques and predictive analytics. Finally, emerging technologies such as text analytics and sentiment analysis are considered. This book will be valuable to data management and BI professionals, including senior and middle-level managers, Chief Information Officers and Chief Data Officers, senior business executives and business staff members, database or software engineers, and business analysts.

IT managers, analysts, consultants, MIS students, data managers

Paperback, 400 Pages

Published: October 2012

Imprint: Morgan Kaufmann

ISBN: 978-0-12-385889-4


  • 1. Business Intelligence - An Introduction

    2. Value Drivers

    3. Planning for Success

    4. Developing a Business Intelligence Roadmap

    5. The Business Intelligence Environment

    6. Business Models and Information Flow

    7. Data Requirements Analysis

    8. Data Warehouses and the Technical BI Architecture

    9. Business Metadata

    10. Data Profiling

    11. Business Rules

    12. Data Quality

    13. Data Integration

    14. High Performance BI

    15. Alternate Information Contexts

    16. Location Intelligence and Spatial analysis?

    17. Knowledge Discovery, Data Mining, and Analytics

    18. Using Publicly Available Data

    19. Knowledge Delivery

    20. New and Emerging Techniques

    21. Quick Reference


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