Business intelligence data mining
- April 22, 2013
Luminar's Franklin Rios explains how his company is using Hortonworks' Hadoop distribution to deliver insights about the Latino community.
- April 19, 2013
Big data analytics efforts are poised to improve everything from public health to particle physics, and people like Cloudera's Jeff Hammerbacher are leading the way.
- April 15, 2013
Two experienced data scientists offer tips on best practices for setting up data science teams and incorporating big data into data science programs.
- April 05, 2013
Effective communication and executive buy-in are essential elements for companies wanting to become 'analytical innovators,' according to software vendor SAS Institute.
- March 04, 2013
Society should do more to encourage the next generation of data scientists, according to a speaker at last week's O'Reilly Strata Conference.
- August 27, 2012
Giving analytics professionals control of small amounts of space in data warehouses lets them experiment with data sets in a managed environment.
- August 03, 2012
Data scientists are hot, but, according to Teradata's Bill Franks, hiring one means asking different questions than you would a statistician or data modeler.
- June 01, 2012
XL Insurance Inc. has a three-part formula for predictive analytics success: Be a programmer, learn statistical analysis and know how to spin a good yarn.
- February 20, 2012
A small startup has developed a “temporal analytics” engine, which sifts 100,000 Web pages an hour, extracting data and associating it to time. But can it also predict the future?
- January 31, 2012
Does your organization have a firm grasp on what "big data" is? That's a good place to begin on a big data analytics project, but don’t forget about basic IT blocking and tackling.
- January 12, 2012
In an interview, analytics and data mining consultant John Elder offers advice on managing successful predictive modeling initiatives and a head’s up on common mistakes to avoid.
- January 10, 2012
To generate useful predictive analytics results, predictive modeling teams need a combination of analytical and business know-how plus close ties to business users, say analytics pros and consultants.
- January 01, 2012
A shortage of skilled data scientists and a user-unfriendly set of technologies are the biggest obstacles impeding big data analytics programs, say analysts and IT professionals.
- December 30, 2011
The terrain may seem foreign, but many proven data management and business intelligence best practices translate well to big data analytics programs, according to analysts.
- December 22, 2011
Big-data analytics and other forms of advanced analytics will be a big battleground for BI vendors in 2012. Our recent coverage highlights that, and ways users can up their analytics game.