Business Intelligence and the Cloud Strategic Implementation Guide

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.

Part One: The Foundation

Chapter 1: A History of How we Got to Cloud Computing

The Rise of Cloud Computing

Chapter 2: Characteristics and Service Models

Introductory Concepts

A Cloud Implementation

Defining Cloud Computing

Chapter 3: Deployment Models

Important Considerations

Public and Private Clouds

Examples of Cloud Computing

Private Clouds in Context

Hybrid Clouds

Community Clouds

Part Two: Strategic Measurement

Chapter 4: Cloud Financial Impact

TCO, TCOp, OPEX, and CAPEX

Total Cost of Ownership

Financial Strategic Measurements

Chapter 5: Cloud Adoption

Is your organization and its stakeholders ready to adopt clouding computing?

Regulatory Impact

Impact to your Organization

External Stakeholders

Chapter 6: Service Level Agreements

The Traditional/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

Negotiating an SLA

Part Three: BI and the Cloud

Chapter 7: Business Intelligence

The Interaction between Business Intelligence and Cloud Computing

BI Strategy

Objectives for a BI Project

The Analytics Cycle

Chapter 8: Big Data’s Impact on BI Efforts in the Cloud

Defining Big Data

Managing Big Data

Chapter 9: Mobile Computing:

The Intersection of Mobile, Cloud, Big Data, and BI

Defining Mobile Computing

Mobile in the Enterprise

Mobile and the Consumer Experience

Conclusion

Glossary

Index