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More About This Title Business Intelligence and the Cloud: Strategic Implementation Guide
English
This book is a guide for managers and others involved in using cloud computing to create business value. It starts with a discussion of the media hype around cloud computing and attempt to pull together what industry experts are saying in order to create a unified definition. Once this foundation is created—assisting the reader's understanding of what cloud computing is—the discussion moves to getting business benefits from cloud computing. Lastly, the discussion focuses on examples of cloud computing, public clouds, private clouds, and virtualization. The book emphasizes how these technologies can be used to create business value and how they can be integrated into an organizations business intelligence system. It helps the user make a business case for cloud computing applications—applications that are used to gather/create data, which in turn are used to generate business intelligence.
English
MICHAEL S. GENDRON, PhD, is a Professor at Central Connecticut State University and an IT strategy consultant. He speaks regularly at academic and professorial conferences globally, blogs about current IT topics at http://www.allanalytics.com (a SAS Institute affiliate), and is a regular contributor on many technology-related social networking sites.
English
Foreword xiii
Preface xvii
Acknowledgments xxi
Part One: The Foundation.1
Chapter 1: A History of How We Got to Cloud Computing 3
The Rise of Cloud Computing 4
Conclusion 19
Notes 21
Chapter 2: Characteristics and Service Models 23
Introductory Concepts 24
A Cloud Implementation 29
Defining Cloud Computing 30
Conclusion 44
Notes 44
Chapter 3: Deployment Models 47
Important Considerations 49
Public and Private Clouds 54
Examples of Cloud Computing 55
Private Clouds in Context 60
Hybrid Clouds 63
Community Clouds 65
Conclusion 66
Notes 67
Part Two: Cloud Economics 69
Chapter 4: Strategic Measurement: TCO, ROI, OPEX/CAPEX 71
Total Cost of Ownership 72
Financial Measurements 76
Conclusion 85
Notes 87
Chapter 5: Cloud Adoption: Are Your Organization and Its Stakeholders Ready to Adopt Cloud Computing? 89
Regulatory Influence 90
The Effects on Your Organization 91
The Effects on External Stakeholders 103
Conclusion 105
Notes 106
Chapter 6: Service Level Agreements 107
The Traditional or Typical Telecom SLA QOS 108
Introducing the Cloud SLA 109
SLA Types 110
Cloud Use Cases 110
SLA by Type of Service and Deployment 113
Anatomy of a Standardized SLA 113
Negotiating the Cloud SLA 116
Conclusion 125
Notes 126
Part Three: Business Intelligence and the Cloud.127
Chapter 7: Business Intelligence: The Interaction of Business Intelligence and Cloud Computing 129
BI Strategy 130
Objectives for a BI Project 132
The Analytics Cycle 134
Conclusion 147
Notes 148
Chapter 8: Big Data’s Effects on BI Efforts in the Cloud 149
Defining Big Data 151
Managing Big Data 158
Conclusion 168
Notes 169
Chapter 9: Mobile Computing Intersection: The Intersection of Mobile, Cloud, Big Data, and Business Intelligence 171
Defining Mobile Computing 174
Mobile in the Enterprise 175
Mobile and the Consumer Experience 186
Conclusion 187
Notes 187
Conclusion 189
Glossary 193
About the Author 207
Index 209
