Delivering Business Analytics
Practical Guidelines for Best Practice
Published on 31. January 2013
368 pages
978-1-118-55944-4 (ISBN)
Description
AVOID THE MISTAKES THAT OTHERS MAKE - LEARN WHAT LEADSTO BEST PRACTICE AND KICKSTART SUCCESS
This groundbreaking resource provides comprehensive coverageacross all aspects of business analytics, presenting provenmanagement guidelines to drive sustainable differentiation. Througha rich set of case studies, author Evan Stubbs reviews solutionsand examples to over twenty common problems spanning managinganalytics assets and information, leveraging technology, nurturingskills, and defining processes.
Delivering Business Analytics also outlines the DataScientist's Code, fifteen principles that when followedensure constant movement towards effective practice. Practicaladvice is offered for addressing various analytics issues; theadvantages and disadvantages of each issue's solution; andhow these solutions can optimally create organizational value.
With an emphasis on real-world examples and pragmatic advicethroughout, Delivering Business Analytics providesa reference guide on:
* The economic principles behind how business analytics leads tocompetitive differentiation
* The elements which define best practice
* The Data Scientist's Code, fifteen management principlesthat when followed help teams move towards best practice
* Practical solutions and frequent missteps to twenty-four commonproblems across people and process, systems and assets, and dataand decision-making
Drawing on the successes and failures of countlessorganizations, author Evan Stubbs provides a densely packedpractical reference on how to increase the odds of success indesigning business analytics systems and managing teams of datascientists.
Uncover what constitutes best practice in business analytics andstart achieving it with Delivering BusinessAnalytics.
Reviews / Votes
PRAISE FOR DELIVERING BUSINESS ANALYTICS "A stellar collection of real-life experiences of a businessanalytics expert and a bible for every leader of a businessanalytics function."--Kerem Tomak, VP of MarketingAnalytics, Macys.com "(This) book is densely packed with the Zen of businessanalytics from his wealth of experience and expertise ... thisis not ten steps to success for mindless management. It richlyrewards re-reads and reflection."--James Mansell,Director of Innovation and Strategic Design, Ministry of SocialDevelopment New Zealand "In this book, Evan Stubbs addresses the many obstacles todelivering solid business results from analytics ... ananalytics group that cannot demonstrate return on investment willsoon lose funding. This book shows how to pick projects with goodrevenue potential and how to measure the value those projectscreate. I would recommend this to anyone who manages an analyticsgroup."--Michael J.A. Berry, Analytics Director,TripAdvisory for Business, co-author of Mastering DataMining and Data Mining Techniques "In this new book, Evan clearly outlines how an organization canget more value from business analytics. His descriptions of commonproblems and challenges, his identification of false solutions andhis clarity in describing best practices make for a readable bookthat practitioners should be able to put together atonce."--James Taylor, CEO, Decision ManagementSolutions, co-author of Smart Enough Systems and author ofDecision Management Systems "For organizations to capitalize on analytics they have tonot only do analysis of data, but they have to convert the resultsof analytics into products and services that users can use. This iswhere Evan's latest book helps. It covers the issues thatbear directly on how analytics should be operationalized. This isessentially about embedding analytical solutions in the business ofan organization. This process sounds simple in theory but is farfrom simple in practice. Evan covers the relevant issues suchas people, infrastructure, data and processes. If there is a singlestatement that summarizes what Evan's book is about it isthat the creation of value is more important than insight.Evan's book is about how to do this."--WarwickGraco, Senior Director of Operational Analytics, AustralianTaxation OfficeMore details
Other editions
Additional editions
Book
04/2013
Wiley
€56.00
Shipment within 15-20 days
Person
EVAN STUBBS is the Chief Analytics Officer for SASAustralia / New Zealand and sits on the board of the Institute ofAnalytics Professionals of Australia. He is a prolific speaker andevangelist for the power of analytics, having written The Valueof Business Analytics, a book explaining why some teams succeedwhile others fail. Over the years, he has developed human-machineinterfaces for concept cars and models that predict criminalbehavior, and has helped organizations establish analytical centersof excellence.
Content
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 Analytics11
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 Decisions65
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
