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  • Book Overview & Buying Making Big Data Work for Your Business
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Making Big Data Work for Your Business

Making Big Data Work for Your Business

By : Sudhi Ranjan Sinha
4.8 (19)
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Making Big Data Work for Your Business

Making Big Data Work for Your Business

4.8 (19)
By: Sudhi Ranjan Sinha
Buy this Book

Overview of this book

Table of Contents (15 chapters)
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Making Big Data Work for Your Business
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Making Big Data Work for Your Business
Credits
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Credits
Foreword
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Foreword
About the Author
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About the Author
Acknowledgments
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Acknowledgments
About the Reviewers
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About the Reviewers
Preface
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Preface
Lock Free Chapter
1
Building Your Strategy Framework
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Building Your Strategy Framework
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Using Big Data analytics to identify where to play and how to win, to grow your business
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Understanding the changing landscape
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Identifying the strategic implications
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Spotting and simulating growing influences
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Integrating new possibilities into planning
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Developing strategies
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Aligning existing initiatives
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Cascading your strategy
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Summary
2
Creating an Opportunity Landscape and Collecting Your Gold Coins
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Creating an Opportunity Landscape and Collecting Your Gold Coins
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Building your Data Catalog
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The Gold Coin approach
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Assessing your Gold Coin project
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Building your Gold Mine
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Summary
3
Managing Your Big Data Projects Effectively
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Managing Your Big Data Projects Effectively
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Recognizing how Big Data Analytics projects are different
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Defining unique success criteria
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Creating an Explore, Validate, Amplify framework for Big Data Analytics projects
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Establishing a governance model
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Treating customer-facing applications differently
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A comprehensive approach for building an organizational Big Data Analytics infrastructure
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Summary
4
Building the Right Technology Landscape
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Building the Right Technology Landscape
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Designing Big Data storage
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Identifying the different technology layers
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Selecting from your technology choices
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Creating a visualization of your Big Data
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Understanding the difference between Enterprise Data Warehouse and Big Data
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Summary
5
Building a Winning Team
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Building a Winning Team
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Understanding the distinctive skills you need
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Defining the team and structure
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Building an extended ecosystem
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Improving team alignment and performance
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Motivating your team towards progress
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Summary
6
Managing Investments and Monetization of Data
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Managing Investments and Monetization of Data
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Understanding how data creates value
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Capturing the value of data
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Understanding and capturing your Big Data costs
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Monetizing your Big Data
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Managing your Big Data investments
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Summary
7
Driving Change Effectively
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Driving Change Effectively
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Understanding changes caused by Big Data
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Applying the IMMERSE framework to manage change
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Creating stakeholder groups to drive change
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Summary
8
Driving Communication Effectively
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Driving Communication Effectively
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Identifying your communication needs
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Selecting your communication channels
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Building your communication strategy
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Building your communication plan
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Engaging executives effectively
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Monitoring and modulating your communication program
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Summary

Chapter 3. Managing Your Big Data Projects Effectively

To realize the full potential of Big Data, companies need to pursue several parallel initiatives, as follows:

  • Create a strong pool of qualified resources to drive various initiatives

  • Build momentum around the adoption of Big Data technologies

  • Build critical mass of success in Big Data projects

  • Build a long-term, robust, and sustainable platform for Big Data initiatives

There are many established methodologies followed in traditional technology-driven projects. At one end of the spectrum, we have the classical waterfall model, which takes a very sequential view of projects from start to finish for the entire scope of the project. At the other end of the spectrum, we have the new-age agile methodologies, which promote a more iterative approach addressing smaller chunks of the scope at a time. The project management techniques for all of them are quite mature; there is a wealth of information in published literature, case studies, and training...

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Programming languages
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Making Big Data Work for Your Business
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