Business intelligence and the cloud : strategic implementation guide /

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 togethe...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Gendron, Michael S., 1957-
Μορφή: Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Hoboken, New Jersey : Wiley, [2014]
Σειρά:Wiley and SAS business series.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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049 |a MAIN 
100 1 |a Gendron, Michael S.,  |d 1957- 
245 1 0 |a Business intelligence and the cloud :  |b strategic implementation guide /  |c Michael S. Gendron. 
264 1 |a Hoboken, New Jersey :  |b Wiley,  |c [2014] 
300 |a 1 online resource. 
336 |a text  |2 rdacontent 
337 |a computer  |2 rdamedia 
338 |a online resource  |2 rdacarrier 
490 1 |a Wiley & SAS business series 
500 |a Includes index. 
588 |a Description based on print version record and CIP data provided by publisher. 
504 |a Includes bibliographical references and index. 
505 0 |a 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. 
505 8 |a 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. 
505 8 |a 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. 
505 8 |a 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. 
505 8 |a 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. 
505 8 |a High Variety. 
520 |a 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. 
650 0 |a Information technology  |x Management. 
650 0 |a Cloud computing. 
650 0 |a Business intelligence. 
650 4 |a Business. 
650 4 |a Information technology  |x Management. 
650 7 |a BUSINESS & ECONOMICS  |x Industrial Management.  |2 bisacsh 
650 7 |a BUSINESS & ECONOMICS  |x Management.  |2 bisacsh 
650 7 |a BUSINESS & ECONOMICS  |x Management Science.  |2 bisacsh 
650 7 |a BUSINESS & ECONOMICS  |x Organizational Behavior.  |2 bisacsh 
650 7 |a Business intelligence.  |2 fast  |0 (OCoLC)fst00842723 
650 7 |a Cloud computing.  |2 fast  |0 (OCoLC)fst01745899 
650 7 |a Information technology  |x Management.  |2 fast  |0 (OCoLC)fst00973112 
655 4 |a Electronic books. 
776 0 8 |i Print version:  |a Gendron, Michael S., 1957-  |t Business intelligence and the cloud  |d Hoboken, New Jersey : John Wiley & Sons, Inc., [2014]  |z 9781118631720  |w (DLC) 2013044543 
830 0 |a Wiley and SAS business series. 
856 4 0 |u https://doi.org/10.1002/9781118915240  |z Full Text via HEAL-Link 
994 |a 92  |b DG1