Big Data: Understanding How Data Powers Big Business

  • 3h 36m
  • Bill Schmarzo
  • John Wiley & Sons (US)
  • 2013

Social media analytics, web-tracking, and other technologies help companies acquire and handle massive amounts of data to better understand their customers, products, competition, and markets. Armed with the insights from big data, companies can improve customer experience and products, add value, and increase return on investment. The tricky part for busy IT professionals and executives is how to get this done, and that's where this practical book comes in. Big Data: Understanding How Data Powers Big Business is a complete how-to guide to leveraging big data to drive business value.

Full of practical techniques, real-world examples, and hands-on exercises, this book explores the technologies involved, as well as how to find areas of the organization that can take full advantage of big data.

  • Shows how to decompose current business strategies in order to link big data initiatives to the organization’s value creation processes
  • Explores different value creation processes and models
  • Explains issues surrounding operationalizing big data, including organizational structures, education challenges, and new big data-related roles
  • Provides methodology worksheets and exercises so readers can apply techniques
  • Includes real-world examples from a variety of organizations leveraging big data

Big Data: Understanding How Data Powers Big Business is written by one of Big Data's preeminent experts, William Schmarzo. Don't miss his invaluable insights and advice.

About the Author

Bill Schmarzo is the Chief Technology Officer for EMC Global Services' Enterprise Information Management & Analytics service line. Nicknamed the Dean of Big Data, he is responsible for setting strategy for EMC's big data consulting business. He created the Business Benefits Analysis methodology and has served on the faculty of The Data Warehouse Institute.

In this Book

  • The Big Data Business Opportunity
  • Big Data History Lesson
  • Business Impact of Big Data
  • Organizational Impact of Big Data
  • Understanding Decision Theory
  • Creating the Big Data Strategy
  • Understanding Your Value Creation Process
  • Big Data User Experience Ramifications
  • Identifying Big Data Use Cases
  • Solution Engineering
  • Big Data Architectural Ramifications
  • Launching Your Big Data Journey
  • Call to Action
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