Too Big to Ignore: The Business Case for Big Data (Electronic book text)


How businesses of all shapes and sizes can harness the power of Big DataIf you haven't heard of Big Data, you're increasingly in the minority. People produce a mind-boggling amount of data every day--so much that making sense of it all is simply beyond the current capabilities of most organizations. Traditional tools and systems just can't handle Big Data. How does a marketer identify an emerging trend when she can't read every tweet, blog post, and customer review? How do we separate meaningful information from the noise of the 2.5 quintillion bytes of data we create every day? Simply put, Big Data represents a big challenge to business, but also an enormous opportunity."Too Big to Ignore" shows you how to find the potential gold in this sea of unstructured data: petabytes of tweets, texts, likes, posts, comments, podcasts, photos, videos, and other forms of unstructured data. Simon shows how organizations are using Big Data--and related solutions--to identify hidden trends, issues, problems, and opportunities. This new book from Phil Simon covers the tools and applications that can help your business effectively leverage Big Data.Uses case studies, examples, and insight from industry experts to explain ways Big Data can benefit your companyIdeal for CEOs, CIOs, IT professionals, and anyone else interested in how businesses turn increasing amounts of information into valuable insightsCovers the most prominent Big Data applications and tools used by most progressive organizationsWritten by an award-winning author, sought-after speaker, and recognized technology expert who has been featured on NBC and CNBC, as well as in "Fast Company, Inc." magazine, "BusinessWeek," and other publicationsIf you want new ways to tap into the power of the massive amounts of accessible data created every day, "Too Big to Ignore" is the perfect guide for you and your business.

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How businesses of all shapes and sizes can harness the power of Big DataIf you haven't heard of Big Data, you're increasingly in the minority. People produce a mind-boggling amount of data every day--so much that making sense of it all is simply beyond the current capabilities of most organizations. Traditional tools and systems just can't handle Big Data. How does a marketer identify an emerging trend when she can't read every tweet, blog post, and customer review? How do we separate meaningful information from the noise of the 2.5 quintillion bytes of data we create every day? Simply put, Big Data represents a big challenge to business, but also an enormous opportunity."Too Big to Ignore" shows you how to find the potential gold in this sea of unstructured data: petabytes of tweets, texts, likes, posts, comments, podcasts, photos, videos, and other forms of unstructured data. Simon shows how organizations are using Big Data--and related solutions--to identify hidden trends, issues, problems, and opportunities. This new book from Phil Simon covers the tools and applications that can help your business effectively leverage Big Data.Uses case studies, examples, and insight from industry experts to explain ways Big Data can benefit your companyIdeal for CEOs, CIOs, IT professionals, and anyone else interested in how businesses turn increasing amounts of information into valuable insightsCovers the most prominent Big Data applications and tools used by most progressive organizationsWritten by an award-winning author, sought-after speaker, and recognized technology expert who has been featured on NBC and CNBC, as well as in "Fast Company, Inc." magazine, "BusinessWeek," and other publicationsIf you want new ways to tap into the power of the massive amounts of accessible data created every day, "Too Big to Ignore" is the perfect guide for you and your business.

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Product Details

General

Imprint

Wiley

Country of origin

United States

Series

Wiley & SAS Business

Release date

2013

Availability

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Authors

Format

Electronic book text

Pages

257

ISBN-13

978-1-299-31571-6

Barcode

9781299315716

Categories

LSN

1-299-31571-2



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