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Making Big Data Work for Your Business

You're reading from   Making Big Data Work for Your Business A clear, practical and simple guide to ensuring effective Big Data analytics for your business

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Product type Paperback
Published in Oct 2014
Publisher
ISBN-13 9781783000982
Length 170 pages
Edition Edition
Concepts
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Author (1):
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Sudhi Ranjan Sinha Sudhi Ranjan Sinha
Author Profile Icon Sudhi Ranjan Sinha
Sudhi Ranjan Sinha
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Table of Contents (15) Chapters Close

Making Big Data Work for Your Business
Credits
Foreword
About the Author
Acknowledgments
About the Reviewers
Preface
1. Building Your Strategy Framework FREE CHAPTER 2. Creating an Opportunity Landscape and Collecting Your Gold Coins 3. Managing Your Big Data Projects Effectively 4. Building the Right Technology Landscape 5. Building a Winning Team 6. Managing Investments and Monetization of Data 7. Driving Change Effectively 8. Driving Communication Effectively

Establishing a governance model


So far in this chapter, we have discussed different drivers, success criteria, and project management methodologies for Big Data projects. With all of these differences, it is important that we govern these projects differently as well.

In a normal technology project, we will typically have a project team that comprises of some business analysts, architects, developers, testers, and documentation specialists, all managed by a project manager. If there are many members in the project team, there will be hierarchies of team leaders and managers. Often, a very large project that spans across a very long time period and multiple departments, and involves a large number of people, gets designated as a program. In such an event, the program is usually broken up into several projects. The program will have another level of hierarchy supervised by a program manager and supported by some additional people who help with aggregation activities around governance and deployment...

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