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Too Big to Ignore: The Business Case for Big Data by Phil Simon

Too Big to Ignore: The Business Case for Big Data Phil Simon ebook
Format: pdf
Publisher: Wiley
Page: 256
ISBN: 9781118638170

Jan 11, 2013 - I've spent most of the last four months finishing the manuscript for my fifth book, Too Big to Ignore: The Business Case for Big Data. Aug 22, 2013 - Big Data has been declared the “sexiest job of the 21st century” and it's already reshaping corporate decisionmaking and even talent recruitment. His latest effort has as its tagline “the business case for big data”. Ease of Use and Employee Training 62. Integration and the Big Data World 63. Apr 4, 2013 - Phil Simon is a book writing machine. For a studio like the one I asked, it was a question too expensive to invest in. Mar 20, 2014 - Simon adroitly shows how Amazon, Apple, Facebook, Google, Twitter, and other tech heavyweights use powerful data visualization tools to garner fascinating insights into their businesses. Apr 26, 2014 - Since Edward Snowden's leaks about the scale and scope of US electronic surveillance it has become apparent that security services are just as fascinated with what they might learn from our data exhaust, too. Feb 25, 2013 - The problem is that the language of big data has been stretched to cover the entirety of business analytics. May 22, 2014 - The market has changed, our attention has shifted - but in our heart of hearts we know that comparatively little innovation has followed our increased interest in big data. And there are a few cases in which analysis of very large data sets has worked miracles. This time last year I reviewed his “The Age of the Platform” and now he has another book out “Too BIG to IGNORE”. But while big data promise much to scientists, entrepreneurs and governments, they are doomed to disappoint us if we ignore some very familiar statistical lessons. Too Big to Ignore: The Business Case for Big Data. Mar 26, 2014 - Yesterday's post presented evidence on a possible upside of very large banks, namely, lower costs. Data-driven design is Imagine a world where the graphical operating system never caught on, where business was still conducted primarily in DOS and other command line interfaces.