Big Data Analytics: Turning Big Data into Big Money

Big Data Analytics: Turning Big Data into Big Money Front Cover
8 Reviews
2012-11-28
160 pages

Book Description

Big Data Analytics: Turning Big Data into Big Money (Wiley and Series)
Unique insights to implement big data analytics and reap big returns to your bottom line

Focusing on the business and value of big data analytics, respected technology journalist Frank J. Ohlhorst shares his insights on the newly emerging field of big data analytics in Big Data Analytics. This breakthrough book demonstrates the importance of analytics, defines the processes, highlights the tangible and intangible and discusses how you can turn a business liability into actionable material that can be used to redefine , improve profits and identify new business opportunities.

  • Reveals big data analytics as the next wave for businesses looking for competitive advantage
  • Takes an in-depth look at the financial value of big data analytics
  • Offers tools and best practices for working with big data

Once the domain of large on-line retailers such as eBay and Amazon, big data is now accessible by businesses of all sizes and across industries. From how to mine the data your company collects, to the data that is available on the outside, Big Data Analytics shows how you can leverage big data into a key component in your business's growth strategy.

Table of Contents

Chapter 1 What Is Big Data? 1
Chapter 2 Why Big Data Matters 11
Chapter 3 Big Data and the Business Case 21
Chapter 4 Building the Big Data Team 29
Chapter 5 Big Data Sources 37
Chapter 6 The Nuts and Bolts of Big Data 47
Chapter 7 , Compliance, Auditing, and Protection 63
Chapter 8 The Evolution of Big Data 77
Chapter 9 Best Practices for Big Data Analytics 93
Chapter 10 Bringing It All Together 111
Appendix Supporting Data 125

Book Details

  • Title: Big Data Analytics: Turning Big Data into Big Money
  • Author:
  • Length: 160 pages
  • Edition: 1
  • Language: English
  • Publisher:
  • Publication Date: 2012-11-28
  • ISBN-10: 1118147596
  • ISBN-13: 9781118147597
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