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Chambers, Michele

Big Data, Big Analytics: Emerging Business Intelligence and Analytic Trends for Today's Businesses

Chambers, Michele - Big Data, Big Analytics: Emerging Business Intelligence and Analytic Trends for Today's Businesses, ebook

49,60€

Ebook, ePUB with Adobe DRM
ISBN: 9781118239155
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Printing67 pages with an additional page accrued every 11 hours, capped at 67 pages
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Unique prospective on the big data analytics phenomenon for both business and IT professionals

The availability of Big Data, low-cost commodity hardware and new information management and analytics software has produced a unique moment in the history of business. The convergence of these trends means that we have the capabilities required to analyze astonishing data sets quickly and cost-effectively for the first time in history. These capabilities are neither theoretical nor trivial. They represent a genuine leap forward and a clear opportunity to realize enormous gains in terms of efficiency, productivity, revenue and profitability.

The Age of Big Data is here, and these are truly revolutionary times. This timely book looks at cutting-edge companies supporting an exciting new generation of business analytics.

  • Learn more about the trends in big data and how they are impacting the business world (Risk, Marketing, Healthcare, Financial Services, etc.)
  • Explains this new technology and how companies can use them effectively to gather the data that they need and glean critical insights
  • Explores relevant topics such as data privacy, data visualization, unstructured data, crowd sourcing data scientists, cloud computing for big data, and much more.

Keywords: Business & Management Special Topics, Michael Minelli, Big Data, Big Analytics, business intelligence, analytic tools, trends in analytics, revolution analytics, analytics at work, data analysis with open source tools, Thomas Davenport, David Loshin, Philipp Janert

Author(s)
 
 
Publisher
John Wiley and Sons, Inc.
Publication year
2013
Language
en
Edition
1
Series
Wiley CIO
Page amount
224 pages
Category
Economy
Format
Ebook
eISBN (ePUB)
9781118239155
Printed ISBN
9781118147603

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