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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 2. Creating an Opportunity Landscape and Collecting Your Gold Coins FREE CHAPTER 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

Using Big Data analytics to identify where to play and how to win, to grow your business


Often, organizational strategies evolve around entrenched perceptions; trends identified through sampling and organizational aspirations. Past performances and future prospects play a key role in this process. Organizations consider macro-economic environments, market trends, industry growth, competitive actions, core capabilities and adjacencies, and finally shareholder expectations in building their business strategy. In the past, such an approach has been able to keep pace with the evolution of various forces that have an impact on an organization's performance. Today, the rate of innovation, interventions, and insights around their current and future impact outpaces many other factors that impact the long-term or even medium-term sustainability of an organization's growth and profitability. Businesses need agility to respond to such challenges. Big companies sometimes get pulled back by their size and momentum; smaller companies sometimes lack the resources and reach to invest in response.

Building strategies around big data analytics is about finding value in data, and it is about enabling value through data. The following are seven simple steps that will help you do this:

  • Understanding the changing landscape

  • Identifying the strategic implications

  • Spotting and simulating the growing influences

  • Integrating new possibilities into planning

  • Developing strategies

  • Aligning existing initiatives

  • Cascading your strategy

Throughout this chapter, I'll take you through each stage to ensure that your big data strategy is closely tied to your organization's strategy, which in turn will ensure that you are able to get the most from your data.

However, before we proceed further, it's a good idea to compile a list of various sources of revenue or various areas of key operations for your organization in a business catalog. For each of the revenue sources or operation areas, briefly capture how the company makes money from them and what the fundamental components of their operation are. This acts as a good compass for you to put some of the upcoming discussions in this and future chapters into context. It could be in a very simple manner as follows:

Business Catalog

Remarks

Product sales through direct sales

The company makes money through strategic pricing applied to differentiated solutions for different customer segments.

Product sales through channel partners

The company makes money through commission. Effective channel development and management (making it easy to do business with channel partners), marketing promotions to attract mass market customers, and achieving high volume turnovers is integral to making more money.

Technical maintenance services for directly sold products/solutions

The company makes money through higher returns in replacement parts, value added services, and labor hours.

Design services

The company makes money by helping customers design their implementation of your company's products, and services that they would normally outsource to a third party.

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