Saving the World with Big Data, Part 2
In the first part of this discussion about how Big Data can help save the world, I cited a number of experts who explained why they see great potential in Big Data
Bradd C. Hayes is the active editor of this blog.
In the first part of this discussion about how Big Data can help save the world, I cited a number of experts who explained why they see great potential in Big Data
“We’re not asking enough of Big Data, and we’re still getting in its way,” writes Stephen Collins, Chief Executive Officer of Bazaarvoice. “We should be using Big Data to do what we
“If there is one thing you can learn about marketing,” writes Sari Gabbay, “it’s that just because you create a service or product, and it came from your vision this does not
“Those who insist that every [customer] is created equal merely ensure that ‘the worst customers get better service than the best,” Bob Sabath, a discipline expert in supply chain management with Trissential,
When you hear the term “social intelligence,” what comes to mind? The term has been applied to two very different subjects. The term is most widely used in a new scientific field
Today’s post was written by Nicholas Moores, a professional technology writer for Waer Systems. The irrepressible force of social media has in recent years collided with the corporate world. These days,
A couple of years ago the staff at Supply Chain Standard wrote an article entitled “Ten issues that keep supply chain leaders awake at night.” [8 November 2011] The number four issue
You might have missed the announcement, but “after three months, $330,000 and a high-profile media blitz, the world’s first hamburger grown in a lab made its worldwide debut” on Monday. [“Long Awaited
In a post entitled Big Data: Do Marketers Get It?, I discussed the fact that marketers are still wrestling with how best to use big data. Nevertheless, I noted that they are
“Now more than ever before businesses have tons of data on what customers want,” writes Erik Sherman. “Too bad they don’t have a clue what to do with it.” [“Oops: Big Data
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