
Leading in Analytics
Description
Leading in Analytics: The Critical Tasks for Executives to Master in the Age of Big Data takes you through the entire process of guiding an analytics initiative from inception to execution. You'll learn which aspects of the project to pay attention to, the right questions to ask, and how to keep the project team focused on its mission to produce relevant and valuable project. As an executive, you can't control every aspect of the process. But if you focus on high-impact factors that you can control, you can ensure an effective outcome. This book describes those factors and offers practical insight on how to get them right.
Drawn from best-practice research in the field of analytics, the Manageable Tasks described in this book are specific to the goal of implementing big data tools at an enterprise level. A dream team of analytics and business experts have contributed their knowledge to show you how to choose the right business problem to address, put together the right team, gather the right data, select the right tools, and execute your strategic plan to produce an actionable result. Become an analytics-savvy executive with this valuable book.
Ensure the success of analytics initiatives, maximize ROI, and draw value from big data
Learn to define success and failure in analytics and big data projects
Set your organization up for analytics success by identifying problems that have big data solutions
Bring together the people, the tools, and the strategies that are right for the job
By learning to pay attention to critical tasks in every analytics project, non-technical executives and strategic planners can guide their organizations to measurable results.
<b>A step-by-step guide for business leaders who need to manage successful big data projects</b>
<i>Leading in Analytics: The Critical Tasks for Executives to Master in the Age of Big Data </i>takes you through the entire process of guiding an analytics initiative from inception to execution. You'll learn which aspects of the project to pay attention to, the right questions to ask, and how to keep the project team focused on its mission to produce relevant and valuable project. As an executive, you can't control every aspect of the process. But if you focus on high-impact factors that you <i>can </i>control, you can ensure an effective outcome. This book describes those factors and offers practical insight on how to get them right.
Drawn from best-practice research in the field of analytics, the Manageable Tasks described in this book are specific to the goal of implementing big data tools at an enterprise level. A dream team of analytics and business experts have contributed their knowledge to show you how to choose the right business problem to address, put together the right team, gather the right data, select the right tools, and execute your strategic plan to produce an actionable result. Become an analytics-savvy executive with this valuable book.
<ul><li>Ensure the success of analytics initiatives, maximize ROI, and draw value from big data</li><li>Learn to define success and failure in analytics and big data projects</li><li>Set your organization up for analytics success by identifying problems that have big data solutions</li><li>Bring together the people, the tools, and the strategies that are right for the job</li></ul>By learning to pay attention to critical tasks in every analytics project, non-technical executives and strategic planners can guide their organizations to measurable results.
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<b>JOSEPH A. CAZIER, PHD, CAP</b> (Certified Analytics Professional) is the Associate Director of the Center for AI and Data Analytics (AIDA), a Clinical Full Professor at Arizona State University and Emeritus Full Professor from Appalachian State University. Cazier also served as the chief analytics officer for HiveTracks.com, chair of the international working group for bee data standardization and is an editor for the <i>Data and Analytics for Good </i>journal. Cazier also served as vice chair for the development of the book's companion executive education course, Leading in Analytics, offered by the Professional Development Academy, where participants can hear directly from many of the experts interviewed for this book.
Content
Foreword
Dr. Tim Rahschulte
Acknowledgements
Introduction: The Last Analytics Mile
The Last Mile to Analytics Success
Expert Contributors
Task 0: Analytics Leadership
Knowledge Begins in Failure
From Failure to Success
Beyond the Project
The Seven Tasks for Analytics Success
Chapter Summary and Exercises
Task 1: The Problem
Solve the Right Problem
The DAD Framework for Analytics Action
Finding Valuable Problems to Solve
The Problem Statement
Checking for Project Viability
Prioritizing Viable Projects
Chapter Summary and Exercises
Task 2: The Team
Building a Winning Analytics Team
Building and Managing Your Team
Managing the Technical Team
Engaging Your Team
Chapter Summary and Exercises
Task 3: The Data
Amorphous Asset
Understanding Data's Value
Identifying Valuable Data
Harnessing Data's Value
A Few Vs to Enhance Value
Quality Data
Chapter Summary and Exercises
Task 4: The Tools
Analytics Mindset
Executives' Role in Tools
Categories of Analytics
Predictive Analytics Tools
Prescriptive Analytics Tools
Tool Synergies
Limits of Analytics Tools
Chapter Summary and Exercises
Task 5: Execution
Execute = Action
Process
People
Problems
Chapter Summary and Exercises
Task 6: Analytics Maturity
Defining Analytics Maturity
Visualizing Analytics Maturity
Growing Analytics Maturity
Tools for Maturity
Chapter Summary and Exercises
Task 7: Responsible Analytics
Our Analytics Responsibility
Analytics Discernment
INFORMS Ethical Guidelines
Analytics for Good
Being Responsible for Our Analytics Future
Chapter Summary and Exercises
Conclusion: Crossing the Last Mile
We Must Cross It Together
Additional Learning Opportunities
Lasting Principles for Success
Afterword: Dr. Karl Kempf's Legacy
Pioneering Analytics with Formula One Racing
Teaching Superman to Fly
Automating Aerospace Manufacturing
Making Better Decisions at Intel
Author's Tribute
About the Author
Why Read Leading in Analytics
Index