Simon, Phil
Too Big to Ignore: The Business Case for Big Data
If 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 company
- Ideal for CEOs, CIOs, IT professionals, and anyone else interested in how businesses turn increasing amounts of information into valuable insights
- Covers the most prominent Big Data applications and tools used by most progressive organizations
- Written 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 publications
If 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.
Keywords: Business Technology, Too big to ignore, understanding big data, phil simon, how to analyze big data, guide to big data, analyzing big data, big data applications and tools, predictive analytics, sentiment analysis, what is big data, how to use big data, analytics, big data analytics, the age of big data, data mining, IT big data, big data, big data applications, mining big data, big data management
- Author(s)
- Simon, Phil
- Publisher
- John Wiley and Sons, Inc.
- Publication year
- 2013
- Language
- en
- Edition
- 1
- Series
- Wiley and SAS Business Series
- Page amount
- 256 pages
- Category
- Economy
- Format
- Ebook
- eISBN (ePUB)
- 9781118641866
- Printed ISBN
- 9781118638170