Leading in Analytics (eBook)

The Seven Critical Tasks for Executives to Master in the Age of Big Data

Joseph A. Cazier (Autor)

eBook Download: PDF

2023 | 1. Auflage
320 Seiten
John Wiley & Sons (Verlag)
978-1-119-80100-9 (ISBN)

Infos

A step-by-step guide for business leaders who need to manage successful big data projects

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.

Autor

JOSEPH A. CAZIER, PHD, CAP (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 Data and Analytics for Good 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.

Inhalt

Foreword by Dr. Tim Rahschulte xi

Acknowledgments xv

Introduction: The Last Analytics Mile 1

The Last Mile to Analytics Success 1

Expert Contributors 4

Task 0 Analytics Leadership 11

Knowledge Begins in Failure 12

From Failure to Success 17

The Seven Tasks for Analytics Success 22

Chapter Summary and Exercises 24

Task 1 The Problem 27

Solve the Right Problem 28

The DAD Framework for Analytics Action 28

Finding Valuable Problems to Solve 39

The Problem Statement 45

Checking for Project Viability 50

Prioritizing Viable Projects 52

Chapter Summary and Exercises 54

Task 2 The Team 61

Building a Winning Analytics Team 62

Building and Managing Your Team 73

Managing the Technical Team 81

Engaging Your Team 86

Chapter Summary and Exercises 89

Task 3 The Data 91

Amorphous Asset 92

Understanding Data's Value 92

Identifying Valuable Data 97

Harnessing Data's Value 101

A Few Vs to Enhance Value 107

Quality Data 114

Chapter Summary and Exercises 121

Task 4 The Tools 125

Analytics Mindset 126

Executives' Role in Tools 127

Categories of Analytics 131

Predictive Analytics Tools 146

Prescriptive Analytics Tools 151

Tool Synergies 155

Limits of Analytics Tools 157

Chapter Summary and Exercises 158

Task 5 Execution 161

Execute = Action 162

Process 163

People 177

Problems 186

Chapter Summary and Exercises 189

Task 6 Analytics Maturity 191

Defining Analytics Maturity 192

Visualizing Analytics Maturity 194

Growing Analytics Maturity 210

Tools for Maturity 218

Chapter Summary and Exercises 225

Task 7 Responsible Analytics 227

Our Analytics Responsibility 228

Analytics Discernment 229

INFORMS Ethical Guidelines 232

Analytics for Good 241

Being Responsible for Our Analytics Future 248

Chapter Summary and Exercises 261

Conclusion: Crossing the Last Mile 265

We Must Cross It Together 265

Additional Learning Opportunities 268

Lasting Principles for Success 269

Afterword: Dr. Karl Kempf's Legacy 271

Pioneering Analytics with Formula One Racing 271

Teaching Superman to Fly 273

Automating Aerospace Manufacturing 273

Making Better Decisions at Intel 273

Author's Tribute 274

About the Author 275

Why Read Leading in Analytics 277

Author Index 279

Subject Index 283

Produkt-Details

• Erscheint lt. Verlag: 31.10.2023
• Reihe/Serie: SAS Institute Inc
• Reihe/Serie: SAS Institute Inc
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Mathematik ► Statistik
• Themenwelt: Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
• Schlagworte: Big Data • Data Mining • Data Mining Statistics • Statistics • Statistik
• ISBN-10: 1-119-80100-1 / 1119801001
• ISBN-13: 978-1-119-80100-9 / 9781119801009