Business Analytics for Managers: Taking Business Intelligence Beyond Reporting / Edition 1

Business Analytics for Managers: Taking Business Intelligence Beyond Reporting / Edition 1

by Gert H. N. Laursen, Jesper Thorlund
     
 

Data warehousing. Source data.

Business intelligence. You've heard the buzzwords before, but what is your business doing with these priceless mountains of data it generates? Are you using this information properly to gain a competitive edge? Or are you just sitting on it?

Now you can discover how your company can take information created in the general course

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Overview

Data warehousing. Source data.

Business intelligence. You've heard the buzzwords before, but what is your business doing with these priceless mountains of data it generates? Are you using this information properly to gain a competitive edge? Or are you just sitting on it?

Now you can discover how your company can take information created in the general course of business and put it to work to boost corporate performance. Taking a holistic—rather than a technical—approach, Business Analytics for Managers: Taking Business Intelligence Beyond Reporting explores why business analytics (BA) should be important to you, whether you're in sales, marketing, management, finance, HR, production, or analysis.

Business Analytics for Managers provides you with an in-depth look at:

  • The ultimate BA model, providing everyone in your business with one common frame of reference for objectives and means
  • Maximizing your company's collection of source data
  • The functionality of a data warehouse
  • Detailed strategies on assessing and prioritizing BA projects
  • Development and deployment of information at a functional level
  • What BA will look like in the future
  • The relationship between business strategies and the BA function
  • How BA can work to support the improvement and maintenance of your business's various processes

Filled with sound advice and innovative strategies, this comprehensive resource is for anyone working on information systems implementation—project managers, analysts, report developers, strategists, CIOs, CEOs, CFOs, CxOs, IT leaders, and database specialists—offering practical insights on delivering the right decision support to the right people at the right time.

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Product Details

ISBN-13:
9780470890615
Publisher:
Wiley
Publication date:
07/13/2010
Series:
Wiley Desktop Editions Series, #40
Pages:
272
Sales rank:
537,317
Product dimensions:
6.40(w) x 9.10(h) x 1.10(d)

Table of Contents

Foreword ix

Introduction xi

What Does BA Mean? Information Systems—Not TechnicalSolutions xiv

Purpose and Audience xvi

Organization of Chapters xix

Why the Term Business Analytics? xx

Chapter 1 The Business Analytics Model 1

Overview of the Business Analytics Model 2

Deployment of the BA Model 6

Conclusions 12

Chapter 2 Business Analytics at the Strategic Level17

Link Between Strategy and the Deployment of BA 18

Strategy and BA: Four Scenarios 19

Which Information Do We Prioritize? 31

Summary 40

Chapter 3 Development and Deployment of Information at theFunctional Level 43

Case Study: A Trip to the Summerhouse 46

Establishing Business Processes with the Rockart Model 55

Example: Establishing New Business Processes with the RockartModel 57

Optimizing Existing Business Processes 65

Example: Deploying Performance Management to Optimize ExistingProcesses 67

Which Process Should You Start with? 72

A Catalogue of Ideas with KPIs for the Company’s DifferentFunctions 90

Summary 91

Chapter 4 Business Analytics at the Analytical Level93

Data, Information, and Knowledge 94

Analyst’s Role in the BA Model 95

Three Requirements the Analyst Must Meet 98

Required Competencies for the Analyst 101

Hypothesis-Driven Methods 117

Data Mining with Target Variables 120

Explorative Methods 127

Business Requirements 130

Summary 134

Chapter 5 Business Analytics at the Data Warehouse Level137

Why a Data Warehouse? 137

Architecture and Processes in a Data Warehouse 140

Tips and Techniques in Data Warehousing 160

Summary 168

Chapter 6 The Company’s Collection of Source Data169

What Are Source Systems, and What Can They Be Used for? 170

Which Information Is Best to Use for Which Task? 174

When There is More Than One Way to Get the Job Done 177

When the Quality of Source Data Fails 179

Summary 180

Chapter 7 Structuring of a Business Intelligence CompetencyCenter 183

What Is a Business Intelligence Competency Center? 183

Why Set Up a Business Intelligence Competency Center? 184

Tasks and Competencies 185

Centralized or Decentralized Organization 191

When Should a BICC Be Established? 197

Summary 200

Chapter 8 Assessment and Prioritization of BA Projects201

Is it a Strategic Project or Not? 201

Uncovering the Value Creation of the Project 203

When Projects Run Over Several Years 209

When the Uncertainty Is Too Big 211

Projects as Part of the Bigger Picture 214

Summary 222

Chapter 9 Business Analytics in the Future 223

Index 231

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