Lead your organization into the industrial revolution of analytics with The Analytics Revolution
The topics of big data and analytics continue to be among the most discussed and pursued in the business world today. While a decade ago many people still questioned whether or not data and analytics would help improve their businesses, today virtually no one questions the value that analytics brings to the table. The Analytics Revolution focuses on how this evolution has come to pass and explores the next wave of evolution that is underway. Making analytics operational involves automating and embedding analytics directly into business processes and allowing the analytics to prescribe and make decisions. It is already occurring all around us whether we know it or not.
The Analytics Revolution delves into the requirements for laying a solid technical and organizational foundation that is capable of supporting operational analytics at scale, and covers factors to consider if an organization is to succeed in making analytics operational. Along the way, you’ll learn how changes in technology and the business environment have led to the necessity of both incorporating big data into analytic processes and making them operational. The book cuts straight through the considerable marketplace hype and focuses on what is really important. The book includes:
- An overview of what operational analytics are and what trends lead us to them
- Tips on structuring technology infrastructure and analytics organizations to succeed
- A discussion of how to change corporate culture to enable both faster discovery of important new analytics and quicker implementation cycles of what is discovered
- Guidance on how to justify, implement, and govern operational analytics
The Analytics Revolution gives you everything you need to implement operational analytic processes with big data.
Table of Content
Foreword xi
Preface xv
Acknowledgments xxv
PART I The Revolution Has Begun 1
Chapter 1 Understanding Operational Analytics 3
Defining Operational Analytics 4
Welcome to Analytics 3.0 10
How Analytics Are Changing Business 20
Putting Operational Analytics in Perspective 26
Wrap-Up 30
Notes 31
Chapter 2 More Data . . . More Data . . . Big Data! 33
Cutting through the Hype 33
Preparing for Big Data 39
Putting Big Data in Context 48
Wrap-Up 58
Notes 59
Chapter 3 Operational Analytics in Action 61
Improving Customer Experiences 62
Time Is of the Essence 68
Making Us Safer 71
Increasing Operational Efficiency 74
Improving Our Lives in the Future 77
Finding Unexpected Value in Data 79
Wrap-Up 83
Notes 84
PART II Laying the Foundation 87
Chapter 4 Want Budget? Build the Business Case! 89
Setting the Priorities 89
Choosing the Right Decision Criteria 93
Business Case Framework to Consider 101
Tips for Creating a Winning Business Case 108
Wrap-Up 115
Notes 116
Chapter 5 Creating an Analytic Platform 117
Planning 118
Building 123
Using 140
Wrap-Up 143
Notes 145
Chapter 6 Governance and Privacy 147
Setting the Stage for Governance 148
Deciding Where Analytics Happen 154
Governing Operational Analytics 158
Privacy 165
Wrap-Up 172
Notes 173
PART III Making Analytics Operational 175
Chapter 7 The Analytics 177
Creating Operational Analytics Processes 177
Expanding into New Analytics Disciplines 181
Focusing Analytics Efforts 187
Comparing Analytics Approaches 193
Lessons from the Past 198
Wrap-Up 204
Notes 205
Chapter 8 The Analytics Organization 207
A Major Shift Has Occurred 207
Staffing 209
Organizing 218
Succeeding 225
Wrap-Up 234
Notes 235
Chapter 9 The Analytics Culture 237
Instilling the Proper Mind-set 237
Implementing Effective Policies 245
Facilitating Success 250
Enabling and Handling the Right Failures 256
Wrap-Up 261
Notes 262
Conclusion Join the Revolution! 263
About the Author 267
Index 269
About the author
BILL FRANKS is the Chief Analytics Officer for Teradata, where he provides insight on trends in the analytics and big data space and helps clients understand how to use them to improve their business. His expertise is in translating complex analytics into terms that business users can understand. Franks is the author of Taming the Big Data Tidal Wave (Wiley, 2012), which was listed on Tom Peters’ 2014 list of ‘Must Read’ books. He is also a faculty member of the International Institute for Analytics.
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