- November 15, 2011
Health care business intelligence (BI) has found its way into Geisinger Health System’s pathology department to meet rising demand and prepare for new government regulations.
- November 11, 2011
Gogo taps MDS Lavastorm Systems for increased speed and efficiency when it comes to building or modifying its business process management.
- November 09, 2011
Collecting "big data" is easy; analyzing it can cause headaches. But some companies are turning to an emerging position, the data scientist, to help them sift through their heaps of data.
- November 07, 2011
Retail analytics expert Emmett Cox explores the challenges of “big data” and provides tips for businesses to make use of the information they’ve collected.
- November 04, 2011
Analysts and consultants provide tips on how to set up an effective predictive analytics program without breaking the bank.
Sponsored by SAS Institute Inc. - With streaming analytics you can solve business problems in new ways and seize new revenue opportunities. You can reduce costs and increase efficiency while improving the safety of employees and the security of assets and intellectual property. See More
Sponsored by SAS Institute Inc. - Interactive data discovery and predictive analytics technologies allow business users and analysts to identify important trends and relationships in data sets and drill down into questions from any angle. They also allow business users to collaborate with specialists to create, refine and select the best predictive models. See More
Sponsored by SAS Institute Inc. - You’re getting started with a big data analytics project on Hadoop and are impressed by the cost savings on storage compared with your data warehouse. You’ve read that TrueCar, a company that collects vast volumes of car price data for its online car-buying business, has cut its monthly data storage cost from $19/GB to $0.23/GB. So you’re wondering, should you consider moving all your business intelligence efforts to Hadoop? See More
Sponsored by SAS Institute Inc. - You want to get started with a big data project at your company, but you're unfamiliar with Hadoop and you're unsure your project will deliver value. Relax. Many organizations are struggling to implement Hadoop for a variety of reasons. In "The Current State of Hadoop in the Enterprise," by the International Institute for Analytics and sponsored by SAS, you'll find a handy list of five steps to maximize the value of a Hadoop big data project for your organization. See More
- November 01, 2011
A Canadian financial services processing provider saved money and manpower by moving to IT service management firm ServiceNow and redeploying staff to BI and development projects.
- October 27, 2011
Eric King of The Modeling Agency discusses the need for predictive analytics and how to create a strategy that will reduce the risk of failure and maximize the results.
- October 26, 2011
SAS has partnered with Teradata and EMC Greenplum to release a high-performance analytics computing platform to handle 'big data.'
- October 25, 2011
Attendees at SAS’ Analytics 2011 Conference Series said data quality is still creating some major headaches for analysts.
- October 17, 2011
New research by Hurwitz & Associates focuses on predictive analytics trends and challenges and sheds light on the vendors who are meeting the demand for new functionality.
- October 11, 2011
Data scientist Brand Niemann recreated large government databases in days using free business intelligence tools and advises other users to “do your own IT.”
- October 10, 2011
Ventana Research’s David Menninger explores how the onslaught of ‘big data’ has influenced predictive analytics.
- October 07, 2011
IBM has announced plans to acquire the Waltham, Mass.-based security intelligence software company Q1 Labs.
- October 03, 2011
Business intelligence vendors released a spate of product announcements over the past two weeks, all aimed at putting BI tools in the hands of everyday users.
- October 02, 2011
Skilled professionals known as data scientists have become highly sought-after by companies such as LinkedIn, Facebook and Google to perform advanced analytics on growing data sets.