Too Big to Ignore: The Business Case for Big Data (Wiley and SAS Business Series) - Softcover

Simon, Phil

Softcover

ISBN 10: 1119217849 ISBN 13: 9781119217848

Publisher: Wiley, 2015

Synopsis

Residents in Boston, Massachusetts are automatically reporting potholes and road hazards via their smartphones. Progressive Insurance tracks real-time customer driving patterns and uses that information to offer rates truly commensurate with individual safety. Google accurately predicts local flu outbreaks based upon thousands of user search queries. Amazon provides remarkably insightful, relevant, and timely product recommendations to its hundreds of millions of customers. Quantcast lets companies target precise audiences and key demographics throughout the Web. NASA runs contests via gamification site TopCoder, awarding prizes to those with the most innovative and cost-effective solutions to its problems. Explorys offers penetrating and previously unknown insights into healthcare behavior.

How do these organizations and municipalities do it? Technology is certainly a big part, but in each case the answer lies deeper than that. Individuals at these organizations have realized that they don't have to be Nate Silver to reap massive benefits from today's new and emerging types of data. And each of these organizations has embraced Big Data, allowing them to make astute and otherwise impossible observations, actions, and predictions.

It's time to start thinking big.

In Too Big to Ignore, recognized technology expert and award-winning author Phil Simon explores an unassailably important trend: Big Data, the massive amounts, new types, and multifaceted sources of information streaming at us faster than ever. Never before have we seen data with the volume, velocity, and variety of today. Big Data is no temporary blip of fad. In fact, it is only going to intensify in the coming years, and its ramifications for the future of business are impossible to overstate.

Too Big to Ignore explains why Big Data is a big deal. Simon provides commonsense, jargon-free advice for people and organizations looking to understand and leverage Big Data. Rife with case studies, examples, analysis, and quotes from real-world Big Data practitioners, the book is required reading for chief executives, company owners, industry leaders, and business professionals.

About this title

About the Author

PHIL SIMON is a frequent keynote speaker, a recognized technology authority, and the award-winning author of seven management books. His contributions have been featured in The Harvard Business Review, Wired, BusinessWeek, The Huffington Post, and The New York Times, and on CNN, NBC, and CNBC.

From the Back Cover

too BIG to IGNORE

THE BUSINESS CASE FOR BIG DATA

Residents in Boston, Massachusetts automatically report potholes and road hazards via their smartphones. Progressive Insurance tracks real-time customer driving patterns and uses that information to offer personalized rates. Google accurately predicts local flu outbreaks based upon thousands of user search queries. Amazon provides remarkably insightful, relevant, and timely product recommendations to its 300 million customers. Quantcast lets companies target precise audiences and key demographics over the Web. NASA runs contests via gamification site TopCoder, awarding prizes to those with the most innovative and cost-effective solutions to its problems. Explorys offers penetrating and previously unknown insights into healthcare behavior.

How do these organizations and municipalities do it? In short, via an unassailably important trend: Big Data, the massive amounts, new types, and multifaceted sources of information streaming at us faster than ever.

In Too Big to Ignore, tech expert and award-winning author Phil Simon provides commonsense, jargon-free advice for people and organizations looking to understand and act on Big Data. Rife with case studies, examples, analysis, and quotes from real-world practitioners, you'll learn why Big Data is a big deal.

From the Inside Flap

Residents in Boston, Massachusetts, are automatically reporting potholes and road hazards via their smartphones. Google accurately predicts local flu outbreaks based upon thousands of user search queries. Amazon provides remarkably insightful, relevant, and timely product recommendations to its hundreds of millions of customers. NASA runs contests via the gamification site TopCoder, awarding prizes to those with the most innovative and cost-effective solutions to its problems.

How do these organizations and municipalities do it? Technology is certainly a big part, but in each case the answer goes deeper than that. Individuals at these organizations have realized that they don't have to be Nate Silver to reap massive benefits from analyzing today's new and emerging types of data. And each of these organizations has embraced Big Data, allowing them to make astute and otherwise impossible observations, actions, and predictions.

It's time to start thinking big.

In "Too Big to Ignore," recognized technology expert and award-winning author Phil Simon explores an unassailably important trend: Big Data--the massive amounts, new types, and multifaceted sources of information streaming at us faster than ever. Never before have we seen data with the volume, velocity, and variety of today. Big Data is no temporary blip of fad. In fact, it is only going to intensify in the coming years, and its ramifications for the future of business are impossible to overstate.

Realizing the importance of Big Data is one thing, but how are organizations today actually harnessing its power? "Too Big to Ignore" answers that question in spades.

Simon provides commonsense, jargon-free advice for people and organizations looking to understand and leverage Big Data. Rife with case studies, examples, analysis, and quotes from real-world Big Data practitioners, the book is required reading for chief executives, company owners, industry leaders, and business professionals.

Edition details

• Publisher: Wiley
• Publication date: 2015
• Language: English
• ISBN 10: 1119217849
• ISBN 13: 9781119217848
• Binding: Paperback
• Edition number: 1
• Number of pages: 256