Data has become the new currency; organizations are drowning in it, but few are cashing in on its true value. The Analytics Lifecycle Toolkit translates the entire analytics lifecycle into actionable insights, providing a framework for building an effective analytics capability and the processes that turn data into action. Part 1 describes the “who,” “how,” and “why” of modern enterprise analytics, giving leaders clear insight into the value of strategically-aligned capabilities. Part 2 details best practices that include problem framing, data sensemaking, model development, change management, data management, product management, and more. Part 3 rounds out the discussion by providing guidance on sustaining high performance and guiding the analytics function into new phases of business.
For organizations who see the value of analytics but lack the depth of knowledge needed to structure appropriate solutions, this book breaks the cycle of frustration and provides a roadmap for putting the right people, processes, and technologies into place. For those who have already implemented analytics, this book serves as a reference for leadership and a “refresher course” to update the team on the latest in practices and processes. Rather than a simple catalogue of analytics models, the discussion emphasizes underlying principles in key process areas to help organizations build analytics capabilities tailored to their specific needs—allowing them to harvest the highest-value information to better inform strategic decisions.
In line with the book’s practical focus, the companion website provides downloadable resources, tools, videos, and more to support and streamline implementation. The discussion itself assumes no prior knowledge of analytics and explicitly clarifies complex concepts and terms, using real-world examples to illustrate what effective practice looks like on the ground. With clear guidance, expert insight, and a wealth of practical tools, The Analytics Lifecycle Toolkit is an essential resource for any organization seeking an optimized analytics program.
Table of Contents:
Preface xi
Acknowledgments xv
Part I The Foundation of Analytics 1
Chapter 1 Analytics Overview 3
Chapter 2 The People of Analytics 38
Chapter 3 Organizational Context for Analytics 68
Chapter 4 Data Strategy, Platforms, and Architecture 95
Part II Analytics Lifecycle Best Practices 127
Chapter 5 The Analytics Lifecycle Toolkit 129
Chapter 6 Problem Framing 148
Chapter 7 Data Sensemaking 185
Chapter 8 Analytics Model Development 218
Chapter 9 Results Activation 266
Chapter 10 Analytics Product Management 301
Part III Sustaining Analytics Success 349
Chapter 11 Actioning Analytics 351
Chapter 12 Core Competencies for Analytics Teams 386
Chapter 13 The Future of Analytics 424
About the Author 433
About the Companion Web Site 435
Index 437
