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Master the full BI project lifecycle including requirements, project management, data modeling, architecture, data integration, BI applications, and analytics. Learn how to build out the data architecture framework that will incorporate data warehousing and Big Data elements.

Table of Contents

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

About the Author

Rick Sherman is the founder of Athena IT Solutions, which provides consulting, training and vendor services for business intelligence, analytics, data integration and data warehousing. He is an adjunct faculty member at Northeastern University’s Graduate School of Engineering and is a frequent contributor to industry publications, events, and webinars.

Reviews

"Anyone tasked with business intelligence and data integration will want this outstanding introduction and guidebook…An established professional will also not be disappointed with the fresh how-to look. I highly recommend it." --Computing Reviews

"The world of architecture and technology is rapidly changing and has been for a while. Fortunately we have people like Rick Sherman who stay abreast of the latest advances. This book is as close to a complete A to Z guidebook as you will find. I recommend this book for every professional's desk." --Bill Inmon, Forest Rim Technology

"Rick covers a lot of ground in the BI Guidebook offering clear explanations of a wide range of BI and DW topics (e.g., technologies, methodologies). His approach makes it both a useful primer for those new to Business Intelligence as well as a great reference for more seasoned pros." --Howard Dresner, Chief Research Officer Dresner Advisory Services

"Anyone looking to rollout a business intelligence initiative or shore up a fledgling one can benefit from the BI Guidebook.  Rick Sherman leaves no stone unturned and takes a deep dive into a complex and diverse field.  Even a seasoned BI professional will enjoy having this book as a reference within arm's reach." --William McNight

"One cannot manage a business or run any organization without measurement: knowing where you'v been, where you are and where you are going. But while BI is the key enabler for such quantitative enterprise management, it remains one of the more complicated areas of information technology. BI encompasses a wide range of expertise from the technical mastery of building data models to the psychological  finesse of resolving conflicts between IT and business people. This is why educating the market on best practices is so important, and why Forrester encourages reading and studying books that arm people with the knowledge they need to tackle the myriad challenges of implementing BI projects. This book, particularly, confirms Forrester’s position that data is a vital tool and a corporate asset that should have direct impact on enterprise top and bottom lines, as well as balance sheets." --Boris Evelson, Vice President, Principal Analyst, Forrester Research, Inc.