Topic:

Analytics and Visualization

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.

Thunder tool library helps neuroscientists analyze brain imaging data

Among the list of more challenging data to analyze, human brain data certainly ranks high. Thunder is a library of tools built on the Apache Spark platform specifically for use in analyzing large neural data sets.

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. 

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.

The FDA's big data hunt for drug problems in your medical records

Mini-Sentinel is a government project that proactively seeks evidence of adverse events that can be linked to drugs on the market in an effort to find and stop problems as fast as possible. It's a big data project on a specific mission and it's hunting through huge databases of medical records--and yours is probably in there somewhere.

Ways to win with analytics

An infographic built from a recent Lavastorm Analytics' survey will give you a good glimpse of what is going on in the analytics community.