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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

Recognizing how Big Data Analytics projects are different

In Chapter 2, Creating an Opportunity Landscape and Collecting Your Gold Coins, we discussed the three major changes caused by Big Data Analytics—the ability to process all data and the ability to manage data disorderliness and allow correlation to trump causality. These fundamental shifts radically transform our ability to leverage technology. There are a number of differences between traditional technology projects and Big Data projects. Let us first examine some of the most notable ones.

Scope fluidity

Traditional technology projects usually start with a fairly definitive scope. The scope might change over a period of time, but at any given point of time, it is always quite well defined. As a result, we can develop specific schedules, plan for resources, and estimate costs and benefits. Big Data projects, however, typically start with an aspirational intent of some form of business outcome instead of a boxed scope. They are more...

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Making Big Data Work for Your Business
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