- January 24, 2012
SAS Institute CEO Jim Goodnight celebrates another profitable year for the privately held software vendor and considers the data and analytics road ahead for 2012.
- January 19, 2012
Collaborative BI may not carry the same kind of prestige that “big data” or the cloud does, but devotees like Barry Devlin believe it to be a critical game changer.
- January 18, 2012
In small and midsize businesses as well as larger organizations, BI systems need to be flexible and adaptable in order to able to meet changing business needs, analysts say.
- January 16, 2012
While telecommunications may be maturing in its use of analytics and BI tools, new research finds that more than half of its analytical process time is applied to data-related tasks.
- 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.
Sponsored by SAS Institute Inc. - By using the SAS Marketing Automation solution, Hana Tour Group could launch more effective campaigns and see clear results from its customized marketing. See More
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
- January 11, 2012
Many small and midsize businesses don’t have a lot of money or staff resources to devote to business intelligence programs -- making sound project management processes essential, BI analysts say.
- 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 09, 2012
Faculty members from the International Institute for Analytics, a research firm that focuses on how organizations use analytics, weigh in on their predictions for 2012.
- January 06, 2012
There are lots of ways that BI deployments in small and midsize organizations can go wrong, according to analysts who offer advice on how to sidestep the roadblocks to a successful deployment.
- January 04, 2012
Midmarket companies investing in BI systems should follow the same basic steps as larger organizations, analysts say. But, they caution, there's typically less room for error in smaller businesses.
- 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 23, 2011
The growth of cloud computing as an application platform means business intelligence teams should at least be prepared for the possibility of Software as a Service BI deployments, analysts say.
- 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.
- December 22, 2011
The term ‘big data’ took on bigger meaning in 2011 with new product releases from major vendors as well as new terminology to describe the big data analytics landscape.