This book looks at strategies to help companies become more intelligent, connected, and agile. It discusses how companies can define and measure high-impact outcomes and use effectively analytics technology to achieve them. It also looks at the technology needed to implement the analytics necessary to achieve high-impact outcomes—from both analytics tool and technical infrastructure perspective. Also discussed are ancillary, but critical, topics such as data security and governance that may not traditionally be a part of analytics discussions but are essential in helping companies maintain a secure environment for their analytics and access the quality data they need to gain critical insights and drive better decision-making.
Preface vii
Acknowledgments ix
Introduction 1
Part I Strategies to Make Intelligence Pervasive 5
Chapter 1 Achieving High-Impact OutcomesAn Overview 9
The Right Data 11
The Right Technical Architecture and Environment 13
Operational Excellence 14
Driving High-Impact Outcomes with Pervasive Intelligence 15
Chapter 2 New Metrics for IntelligenceInformation Yield 17
Information YieldThe Journey from 2D to 3D in Analytics 19
Three Foundational Steps to Drive Transformation 20
Big Data and its Impact on Information Yield 22
Information Yield and Pervasive Intelligence 24
Chapter 3 The CloudThe Foundation for Pervasive Intelligence 25
CloudsWhats Best for You? 26
Choosing the Right Vendor Partner to Help You Fulfill the Promise of the
Cloud 27
The CloudNot Optional for Pervasive Intelligence 29
Chapter 4 Perpetual ConnectivityDigital Supply Networks 31
DSNs Defined 32
DSNsWhat They Can Do for You 32
DSN Challenges 33
The Benefi ts of a DSN Illustrated 34
DSNs and the Realization of Pervasive Intelligence 36
Chapter 5 Intelligence Analytics and Cognitive DesignThe Human Factor in
Pervasive Intelligence 37
Why Cognitive Design? 39
Putting It Together 46
Cognitive DesignThe Human Factor in Pervasive Intelligence 46
Chapter 6 You Are Only as Good as Your Data 47
Consolidate Data 49
Secure and Govern 49
The Rising Need for a Chief Data Officer 49
Pervasive Intelligence and Data Governance 51
Chapter 7 The Data Security Awakening 53
Data Security: A Question of Managing Risk 54
Pervasive Intelligence and Data Security 59
Part II Technology to Achieve Pervasive Intelligence 61
Chapter 8 The Evolution of Data Lakes as a Fundamental Part of a New
Ecosystem Architecture 63
Changes in Data Dictate Changes in Storage Technology 64
Data Lakes and Pervasive Intelligence 67
Chapter 9 Artifi cial Intelligence and Machine LearningThe Future of
Pervasive Intelligence 69
The Power of (Artificial) Intelligence 70
AI in Practice 72
Machine LearningThe Star of Artificial Intelligence 74
Optimizing Machine Learning Efforts 78
AI and Pervasive Intelligence 80
Chapter 10 Analytics Operations to Enable Pervasive Intelligence 81
Operationalizing Analytics 82
Embedding AnalyticOps Throughout the Organization 86
Chapter 11 Intelligent CloudsCombining the Cloud and Analytics to Realize
Pervasive Intelligence 91
The Intelligent Cloud 92
The Benefits of Intelligence 92
Pervasive Intelligence via the Intelligent Cloud 94
Conclusion 95
Index 97
Anu Jain joined Teradata in 2017 and is responsible for leading the Americas Think Big Organization. His focus is on creating enhanced business outcomes through tailored solution delivery. He is a seasoned services and sales leader with over 20 years of experience in technology consulting organizations. Prior to Teradata, Anu led the Media, Entertainment and Cable industry segment for IBM; a $1.5 billion plus P&L. Anu was also the cofounder of Janus, a Tax & Treasury Analytics Solutions business with Agile analytics and Big Data Solutions for the Office of the CFO. Prior to Janus, Anu was a Leader at Deloitte leading their Business Intelligence and IM practices as well as serving as the Chief People Officer of their Technology Services business in North America. He has a BS in Operations Industrial Engineering from The Georgia Institute of Technology.
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