Topic:

Strategy and Best Practices

Latest Headlines

Latest Headlines

5 big data mobile apps with interesting use cases

Here are five big data mobile apps designed to facilitate working with big data on a mobile device.

Discerning when we have enough analyses and where to stop

Industry analysts have predicted that there will be somewhere between 26 and 30 billion Internet of Things, or IoT, devices by the year 2020. Will all that data actually be useful? Or will the useful data only get lost in all that noise?

Big data banking battle brewing

Banks are facing some of the biggest challenges they've ever seen. Big data is the best answer to these problems but that's not to say that it's a quick and easy fix--nor is it to say that these are the only problems that need fixing.

Competition seeks experts to predict and detect seizures

Researchers from the Perelman School of Medicine at the University of Pennsylvania, or Penn, and the Mayo Clinic are challenging experts in science, analytics and machine learning in two competitions on detecting and predicting seizure onset. 

Big data, big crashes: State Department's passport and visa database crash

The Consular Consolidated Database, or CCD, at the U.S. State Department has crashed. Significant problems have been occurring since July 19 and, as of this writing, there's no word on when the system will be back up again.

Overconfidence most common mistake in big data projects

 "The creators of big data resources like to believe that they have collected all the data relevant to their domain, that all of the data is accurate, and that the data is organized in a manner that supports meaningful data searches," Jules J. Berman, former President of the Association for Pathology Informatics, says in an interview.

Data follies: When quality data lacks context, things go bad fast

Without context, data tells you worse than nothing--it derails your efforts entirely. Such is the case in using consumer payment card and loyalty card data by healthcare providers. 

10 types of regressions worthy of review

There are hundreds of regressions but here are ten most worthy of review by data scientists and other analytic practitioners who are working with modern data. There are also specific ways to tell which of those will work best for what you're trying to accomplish. 

eBay and Redbox on their predictive analytics play

eBay and Redbox shared their uses and plans for predictive analytics at the Predictive Analytics World Conference in Chicago recently.

Big data is a business issue, not a technology issue

Companies are typically buying big data tools before they know what they want to do with them. That's like buying the best fishing pole on the market only to discover that now you have to build a house with it.