Big Data Analytics: Turning Big Data into Big Money

  • 2h 11m
  • Frank Ohlhorst
  • John Wiley & Sons (US)
  • 2013

Focusing on the business and financial 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 values and discusses how you can turn a business liability into actionable material that can be used to redefine markets, 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.

About the Author

Frank J. Ohlhorst is an award-winning technology journalist, professional speaker, and IT business consultant with over 25 years of experience in the technology arena. Frank has written for several leading technology publications, including ComputerWorld, TechTarget, CRN, Network Computing, PCWorld, ExtremeTech, and Tom’s Hardware,. Frank has contributed to business publications, including Entrepreneur and BNET, and to multiple technology books. He has written several white papers, case studies, reviewers’ guides, and channel guides for leading technology vendors.

In this Book

  • Big Data Analytics—Turning Big Data into Big Money
  • Preface
  • What Is Big Data?
  • Why Big Data Matters
  • Big Data and the Business Case
  • Building the Big Data Team
  • Big Data Sources
  • The Nuts and Bolts of Big Data
  • Security, Compliance, Auditing, and Protection
  • The Evolution of Big Data
  • Best Practices for Big Data Analytics
  • Bringing It All Together
  • Supporting Data


Channel Big Data
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