Wiley and SAS Business Ser.: The Analytics Lifecycle Toolkit : A Practical Guide

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Item specifics

Condition
Like New: A book that looks new but has been read. Cover has no visible wear, and the dust jacket ...
Level
Business
ISBN
9781119425069
Subject Area
Business & Economics
Publication Name
Analytics Lifecycle Toolkit : a Practical Guide for an Effective Analytics Capability
Publisher
Wiley & Sons, Incorporated, John
Item Length
9.2 in
Subject
Decision-Making & Problem Solving, Management
Publication Year
2018
Series
Wiley and Sas Business Ser.
Type
Textbook
Format
Hardcover
Language
English
Item Height
1.6 in
Author
Gregory S. Nelson
Item Weight
24.9 Oz
Item Width
6.3 in
Number of Pages
464 Pages
Category

About this product

Product Identifiers

Publisher
Wiley & Sons, Incorporated, John
ISBN-10
1119425069
ISBN-13
9781119425069
eBay Product ID (ePID)
239999776

Product Key Features

Number of Pages
464 Pages
Publication Name
Analytics Lifecycle Toolkit : a Practical Guide for an Effective Analytics Capability
Language
English
Subject
Decision-Making & Problem Solving, Management
Publication Year
2018
Type
Textbook
Author
Gregory S. Nelson
Subject Area
Business & Economics
Series
Wiley and Sas Business Ser.
Format
Hardcover

Dimensions

Item Height
1.6 in
Item Weight
24.9 Oz
Item Length
9.2 in
Item Width
6.3 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
2017-057995
Dewey Edition
23
TitleLeading
The
Dewey Decimal
658.4032
Table Of Content
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
Synopsis
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., PRAISE FOR THE ANALYTICS LIFECYCLE TOOLKIT "Full of wisdom and experience about analytics, this book's greatest strength is its lifecycle approach. From framing the question to getting results, you'll learn how analytics can really have an impact on organizations." --Thomas H. Davenport, Ph.D., Author of Competing on Analytics and Only Humans Need Apply "This book condenses a lot of deep thinking on the wide field of analytics strategy. Analytics is not easy--there are no quickie AI/BI/ML shortcuts to understanding your data, your business, or your processes. You have to build a diverse team of talent. You have to respect the hazards of 'fishing expeditions' that may need false-discovery-rate adjustments. You should consider designed experiments to get the true behavior of a process, something that observational data may hint at, but not provide complete understanding. There are dimensions of data wrangling, feature engineering, and data sense-making that all call for different skills. But with deep investment in analytics comes deep insight into processes and tremendous opportunity for improvements. This book puts analytics in the context of a strategic business system, with all its dimensions." --John Sall, Ph.D., SAS co-founder and chief architect of JMP " The Analytics Lifecycle Toolkit provides a clear prescription for organizations aiming to develop a high-performing and scalable analytics capability. Greg organizes and develops with unusual clarity some of the critical nontechnical aspects of the analytics value-chain, and links them with the technical as building blocks in a comprehensive practice. Studying this map of how to negotiate the challenges to effectiveness and efficiency in analytics could save organizations months, or even years of painful trial and error on the road to proficiency." --Scott Radcliffe, Executive Director, Data Analytics at Cox Communications "Many books exist that answer the question 'what is the right tool to solve a problem?' This is one of the few books I've read that answers the much more difficult question 'how do we make analytics become transformative throughout our organization?' Incorporating elements of data science, design thinking, and organizational theory, this book is a valuable resource for executives looking to build analytics into their organizational DNA, data scientists looking to expand their organizational reach, and analytics programs that teach students not just how to do data science, but how to use data science to affect tangible change." --Jeremy Petranka, Ph.D., Assistant Dean Master of Quantitative Management at Duke University's Fuqua School of Business "This book is the 'thinking person's guide to analytics.' Greg has gone deep on some topics and provided considerable references across the analytics lifecycle. This is one of the best books on analytics I have read...and I think I have read them all " --Bob Gladden, Vice President, Enterprise Analytics, Highmark Health, PRAISE FOR THE ANALYTICS LIFECYCLE TOOLKIT "Full of wisdom and experience about analytics, this books greatest strength is its lifecycle approach. From framing the question to getting results, youll learn how analytics can really have an impact on organizations." Thomas H. Davenport, Ph.D., Author of Competing on Analytics and Only Humans Need Apply "This book condenses a lot of deep thinking on the wide field of analytics strategy. Analytics is not easy there are no quickie AI/BI/ML shortcuts to understanding your data, your business, or your processes. You have to build a diverse team of talent. You have to respect the hazards of fishing expeditions that may need false-discovery-rate adjustments. You should consider designed experiments to get the true behavior of a process, something that observational data may hint at, but not provide complete understanding. There are dimensions of data wrangling, feature engineering, and data sense-making that all call for different skills. But with deep investment in analytics comes deep insight into processes and tremendous opportunity for improvements. This book puts analytics in the context of a strategic business system, with all its dimensions." John Sall, Ph.D., SAS co-founder and chief architect of JMP " The Analytics Lifecycle Toolkit provides a clear prescription for organizations aiming to develop a high-performing and scalable analytics capability. Greg organizes and develops with unusual clarity some of the critical nontechnical aspects of the analytics value-chain, and links them with the technical as building blocks in a comprehensive practice. Studying this map of how to negotiate the challenges to effectiveness and efficiency in analytics could save organizations months, or even years of painful trial and error on the road to proficiency." Scott Radcliffe, Executive Director, Data Analytics at Cox Communications "Many books exist that answer the question what is the right tool to solve a problem? This is one of the few books Ive read that answers the much more difficult question how do we make analytics become transformative throughout our organization? Incorporating elements of data science, design thinking, and organizational theory, this book is a valuable resource for executives looking to build analytics into their organizational DNA, data scientists looking to expand their organizational reach, and analytics programs that teach students not just how to do data science, but how to use data science to affect tangible change." Jeremy Petranka, Ph.D., Assistant Dean Master of Quantitative Management at Duke Universitys Fuqua School of Business "This book is the thinking persons guide to analytics. Greg has gone deep on some topics and provided considerable references across the analytics lifecycle. This is one of the best books on analytics I have read and I think I have read them all!" Bob Gladden, Vice President, Enterprise Analytics, Highmark Health, An evidence-based organizational framework for exceptional analytics team results The Analytics Lifecycle Toolkit provides managers with a practical manual for integrating data management and analytic technologies into their organization.
LC Classification Number
HD58.9

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