Details

The Analytics Lifecycle Toolkit


The Analytics Lifecycle Toolkit

A Practical Guide for an Effective Analytics Capability
Wiley and SAS Business Series 1. Aufl.

von: Gregory S. Nelson

33,99 €

Verlag: Wiley
Format: EPUB
Veröffentl.: 07.03.2018
ISBN/EAN: 9781119425106
Sprache: englisch
Anzahl Seiten: 464

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Beschreibungen

<b>An evidence-based organizational framework for exceptional analytics team results</b> <p><i>The Analytics Lifecycle Toolkit</i> provides managers with a practical manual for integrating data management and analytic technologies into their organization. Author Gregory Nelson has encountered hundreds of unique perspectives on analytics optimization from across industries; over the years, successful strategies have proven to share certain practices, skillsets, expertise, and structural traits. In this book, he details the concepts, people and processes that contribute to exemplary results, and shares an organizational framework for analytics team functions and roles. By merging analytic culture with data and technology strategies, this framework creates understanding for analytics leaders and a toolbox for practitioners. Focused on team effectiveness and the design thinking surrounding product creation, the framework is illustrated by real-world case studies to show how effective analytics team leadership works on the ground. <p>Tools and templates include best practices for process improvement, workforce enablement, and leadership support, while guidance includes both conceptual discussion of the analytics life cycle and detailed process descriptions. Readers will be equipped to: <ul> <li>Master fundamental concepts and practices of the analytics life cycle</li> <li>Understand the knowledge domains and best practices for each stage</li> <li>Delve into the details of analytical team processes and process optimization</li> <li>Utilize a robust toolkit designed to support analytic team effectiveness</li> </ul> <p>The analytics life cycle includes a diverse set of considerations involving the people, processes, culture, data, and technology, and managers needing stellar analytics performance must understand their unique role in the process of winnowing the big picture down to meaningful action. <i>The Analytics Lifecycle Toolkit</i> provides expert perspective and much-needed insight to managers, while providing practitioners with a new set of tools for optimizing results.
<p>Preface xi</p> <p>Acknowledgments xv</p> <p><b>Part I The Foundation of Analytics 1</b></p> <p>Chapter 1 Analytics Overview 3</p> <p>Chapter 2 The People of Analytics 38</p> <p>Chapter 3 Organizational Context for Analytics 68</p> <p>Chapter 4 Data Strategy, Platforms, and Architecture 95</p> <p><b>Part II Analytics Lifecycle Best Practices 127</b></p> <p>Chapter 5 The Analytics Lifecycle Toolkit 129</p> <p>Chapter 6 Problem Framing 148</p> <p>Chapter 7 Data Sensemaking 185</p> <p>Chapter 8 Analytics Model Development 218</p> <p>Chapter 9 Results Activation 266</p> <p>Chapter 10 Analytics Product Management 301</p> <p><b>Part III Sustaining Analytics Success 349</b></p> <p>Chapter 11 Actioning Analytics 351</p> <p>Chapter 12 Core Competencies for Analytics Teams 386</p> <p>Chapter 13 The Future of Analytics 424</p> <p>About the Author 433</p> <p>About the Companion Web Site 435</p> <p>Index 437</p>
<p><b>GREG NELSON</B> is the CEO and founder of ThotWave, an analytics advisory firm specializing in analytics talent development and has over 20 years of consulting experience in big data, statistical analysis, data visualization, and change management. Greg serves as adjunct faculty at Duke University’s top-ranked Fuqua School of Business and is an expert for the International Institute for Analytics. Greg has authored over 200 papers and publications and is a regular speaker and keynote presenter at national and international events. Greg earned his bachelor’s degree from the University of California, Santa Cruz in Psychology, a Master’s in Clinical Informatics from Duke University, and conducted Ph.D. level work in Social and Cognitive Psychology at the University of Georgia.</p>
<p>Data has become the new currency; organizations are drowning in it, but few are cashing in on its true value. <i>The Analytics Lifecycle Toolkit</i> 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.</p> <p>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. <p>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, <i>The Analytics Lifecycle Toolkit</i> is an essential resource for any organization seeking an optimized analytics program.

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