- May 16, 2012
Educating end users and upgrading internal processes can help enterprises fix data quality problems without dropping a ton of cash, analysts say.
- May 15, 2012
New research shows data virtualization, data governance and master data management initiatives provide higher levels of satisfaction with data quality and data integration.
- May 11, 2012
Enterprise information management programs should be molded around clear business objectives, says a senior information architect at Bank of America.
- May 09, 2012
In-memory database caching technology is helping gamers take charge of their online identities.
- May 02, 2012
"Big data" technologies took a verbal shellacking from consultant and well-known Twitterer Karen Lopez in an Enterprise Data World conference session.
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
- May 02, 2012
User demands for faster access to business intelligence data and the rise of "big data" analytics are complicating data integration for BI systems.
- May 02, 2012
Learn how to take advantage of a large enterprise data warehouse in this book excerpt. And find out how the proliferation of data sources, data volumes and queries affects data warehouse performance.
- April 30, 2012
Life would be a lot easier for data management pros if they could specialize in individual aspects of the process of managing information. But for many, that's not happening anytime soon.
- April 26, 2012
IBM announced plans to acquire data discovery vendor Vivisimo amid a busy week of "big data" news from around the Web.
- April 25, 2012
An IT manager at Intel Corp. sums up the chip maker's approach to managing master data in four words: Standardize, consolidate, optimize and utilize.
- April 23, 2012
The latest version of IBM's flagship DB2 database offers several features designed to coax Oracle customers out of their software comfort zones.
- April 18, 2012
Gartner MDM Summit attendees got advice on how to launch, expand and reinvigorate their master data management programs for better data consistency.
- April 16, 2012
Justifying purchases of data warehouse appliances starts with showing that they're a better business fit than conventional systems are, analysts say.
- April 12, 2012
The growth of "big data," as well as social media and cloud computing, must be factored into master data management strategies, according to Gartner.
- March 30, 2012
A trip to two conferences on opposite sides of the U.S. yielded tips and advice from IT professionals and consultants on implementing effective data management processes.