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Delivering Business Analytics: Practical Guidelines for Best Practice

Delivering Business Analytics: Practical Guidelines for Best Practice

Evan Stubbs

ISBN: 978-1-118-37056-8

Feb 2013

368 pages

Out of stock

AUD $85.95

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Description

AVOID THE MISTAKES THAT OTHERS MAKE – LEARN WHAT LEADS TO BEST PRACTICE AND KICKSTART SUCCESS

This groundbreaking resource provides comprehensive coverage across all aspects of business analytics, presenting proven management guidelines to drive sustainable differentiation. Through a rich set of case studies, author Evan Stubbs reviews solutions and examples to over twenty common problems spanning managing analytics assets and information, leveraging technology, nurturing skills, and defining processes.

Delivering Business Analytics also outlines the Data Scientist’s Code, fifteen principles that when followed ensure constant movement towards effective practice. Practical advice is offered for addressing various analytics issues; the advantages and disadvantages of each issue’s solution; and how these solutions can optimally create organizational value.

With an emphasis on real-world examples and pragmatic advice throughout, Delivering Business Analytics provides a reference guide on:

  • The economic principles behind how business analytics leads to competitive differentiation
  • The elements which define best practice
  • The Data Scientist’s Code, fifteen management principles that when followed help teams move towards best practice
  • Practical solutions and frequent missteps to twenty-four common problems across people and process, systems and assets, and data and decision-making

Drawing on the successes and failures of countless organizations, author Evan Stubbs provides a densely packed practical reference on how to increase the odds of success in designing business analytics systems and managing teams of data scientists.

Uncover what constitutes best practice in business analytics and start achieving it with Delivering Business Analytics.

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Preface xi

Acknowledgments xix

Part One Business Analytics Best Practices 1

Chapter 1 Business Analytics: A Definition 5

What Is Business Analytics? 5

Core Concepts and Definitions 7

Chapter 2 The Competitive Advantage of Business Analytics 11

Advantages of Business Analytics 14

Challenges of Business Analytics 23

Establishing Best Practices 27

Part Two The Data Scientist’s Code 29

Chapter 3 Designing the Approach 31

Think about Competencies, Not Functions 31

Drive Outcomes, Not Insight 36

Automate Everything Non-Value-Added 38

Start Flexible, Become Structured 40

Eliminate Bottlenecks 43

Chapter 4 Creating Assets 47

Design Your Platform for Use, Not Purity 47

Always Have a Plan B 52

Know What You Are Worth 54

Own Your Intellectual Property 57

Minimize Custom Development 60

Chapter 5 Managing Information and Making Decisions 65

Understand Your Data 65

It’s Better to Have Too Much Data Than Too Little 69

Keep Things Simple 74

Function Should Dictate Form 77

Watch the Dynamic, Not Just the Static 79

Part Three Practical Solutions: People and Process 85

Chapter 6 Driving Operational Outcomes 87

Augmenting Operational Systems 88

Breaking Bottlenecks 98

Optimizing Monitoring Processes 106

Encouraging Innovation 113

Chapter 7 Analytical Process Management 127

Coping with Information Overload 128

Keeping Everyone Aligned 137

Allocating Responsibilities 144

Opening the Platform 151

Part Four Practical Solutions: Systems and Assets 159

Chapter 8 Computational Architectures 161

Moving Beyond the Spreadsheet 162

Scaling Past the PC 173

Staying Mobile and Connected 180

Smoothing Growth with the Cloud 183

Chapter 9 Asset Management 191

Moving to Operational Analytics 192

Measuring Value 202

Measuring Performance 210

Measuring Effort 220

Part Five Practical Solutions: Data and Decision Making 231

Chapter 10 Information Management 233

Creating the Data Architecture 234

Understanding the Data Value Chain 242

Creating Data-Management Processes 249

Capturing the Right Data 256

Chapter 11 Decision-Making Structures 263

Linking Analytics to Value 264

Reducing Time to Recommendation 269

Enabling Real-Time Scoring 277

Blending Rules with Models 284

Appendix The Cheat Sheets 291

Glossary 313

Further Reading 331

About the Author 333

Index 335