Includes index.

Includes bibliographical references and index.

Business Intelligence and the Cloud: Strategic Implementation Guide; Copyright; Contents; Foreword; Preface; Acknowledgments; Part 1: The Foundation; Chapter 1: A History of How We Got to Cloud Computing; The Rise of Cloud Computing; Computing Hardware; Networking and HTML; Bandwidth; Computing Platforms; Cloud Computing; Conclusion; Notes; Chapter 2: Characteristics and Service Models; Introductory Concepts; Layers of Abstraction; Hosted Applications versus Cloud Computing; Corporate LAN-Based versus Cloud-Based Applications; A Cloud Implementation; Defining Cloud Computing.

Dimension One: Essential CharacteristicsDimension Two: Service Models; Dimension Three: Deployment Models; Conclusion; Notes; Chapter 3: Deployment Models; Important Considerations; Public and Private Clouds; Examples of Cloud Computing; An IaaS Example: Netflix Moves to Amazon Web Services; A PaaS Example: Sopima Moves to Microsoft Azure; A SaaS Example: Dunkin' Donuts Uses Salesforce; Private Clouds in Context; Puma and Eucalyptus: A Private Cloud Solution; Hybrid Clouds; Zynga: A Hybrid Cloud Example; Community Clouds; Conclusion; Notes; Part 2: Cloud Economics.

Chapter 4: Strategic Measurement: TCO, ROI, OPEX/CAPEXTotal Cost of Ownership; How TCO Changes in the Cloud; Build versus Buy; Financial Measurements; Capital Expense (CAPEX) versus Operational Expense (OPEX); Return on Investment (ROI); Conclusion; Notes; Chapter 5: Cloud Adoption: Are Your Organization and Its Stakeholders Ready to Adopt Cloud Computing?; Regulatory Influence; The Effects on Your Organization; The Non-IT Staff; The IT Department; The Effects on External Stakeholders; The Need for Increased Technology; Changes in Payment Models-Changing Costs; The Training of Staff.

Requests for Increased InnovationConclusion; Notes; Chapter 6: Service Level Agreements; The Traditional or Typical Telecom SLA QOS; Introducing the Cloud SLA; SLA Types; Cloud Use Cases; SLA by Type of Service and Deployment; Anatomy of a Standardized SLA; Negotiating the Cloud SLA; Step 1: Understand Roles and Responsibilities; Step 2: Evaluate Data Policies and Business Policies; Step 3: Understand Service and Deployment Model Differences; Step 4: Identify Critical Performance Objectives; Step 5: Evaluate Security and Privacy Requirements; Step 6: Identify Service Management Requirements.

Step 7: Prepare for Service Failure ManagementStep 8: Understand the Disaster Recovery Plan; Step 9: Develop an Effective Management Process; Step 10: Understand the Exit Process; SLA Expectations; Conclusion; Notes; Part 3: Business Intelligence and the Cloud; Chapter 7: Business Intelligence: The Interaction of Business Intelligence and Cloud Computing; BI Strategy; Objectives for a BI Project; The Analytics Cycle; Data Collection; Data Analysis; Data Distribution; Conclusion; Notes; Chapter 8: Big Data's Effects on BI Efforts in the Cloud; Defining Big Data; High Volume; High Velocity.

High Variety.

How to measure cloud computing options and benefits to impact business intelligence infrastructure 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.

Description based on print version record and CIP data provided by publisher.