- 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 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.
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
- 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.
- December 21, 2011
A Virginia-based energy company is relying on advanced data visualization, geospatial data and visual analytics to stay a step ahead of thieves who’ve taken a shine to copper wire.
- December 16, 2011
In an interview, predictive analytics consultant Eric Siegel offers advice on building organizational trust in the findings of predictive models -- and warns how the process can go wrong.
- December 15, 2011
The onslaught of social media and mobile devices is thrusting Web analytics into a situation somewhere between maturity and evolution, according to a new report.
- December 14, 2011
Software as a Service business intelligence tools can help fast-track BI projects, but they don’t eliminate BI’s complexity. Get advice on managing SaaS BI deployments from BI pros and analysts.