Business Intelligence - Research
Open Source Vendors Blaze a Trail in Advanced AnalyticsFebruary 28, 2014
Gartner gives high marks to open source vendors in its new Magic Quadrant for Advanced Analytics.
Geographic Information Systems Buying GuideFebruary 27, 2014
As business cases for geographic information systems continue to emerge, more vendors are offering GIS software. Our buying guide is a good place to start.
How Qualitative Research Can Improve Your Business AnalyticsFebruary 18, 2014
While qualitative analytics is more popular in academia than in business, it can help enterprises improve their more traditional quantitative analytics.
Business Intelligence One of Fastest-Growing Enterprise Mobile AppsFebruary 16, 2014
Good Technology tracked strong growth in enterprise mobile app adoption in Q4 of 2013, with interest especially strong for custom applications.
Domo and the Demand for Democratic BIFebruary 13, 2014
Founder Josh James' track record doesn't hurt, but growing demand for more democratic business intelligence is behind the big bucks going to startup Domo.
Geographic Information Systems: Mapping out Enterprise ImpactFebruary 10, 2014
Companies like General Motors are incorporating GIS systems into enterprise applications like CRM and business intelligence to improve decision making.
9 Tips on Using Big Data Analytics to Improve SecurityJanuary 31, 2014
Many Big Data analytics initiatives focus on marketing. But analyzing Big Data can also help companies improve security and avoid data breaches.
Big Data Focus on Value, Not Hype, in 2014January 28, 2014
Companies are looking beyond the technical bells and whistles of collecting and storing Big Data to how to use it to benefit their business.
3 Tips for Getting More Value From Your DataJanuary 24, 2014
Companies often run into problems such as misaligned priorities when undertaking data projects. These three tips can help keep data projects on track.
Agile Insights into Predictive AnalyticsJanuary 19, 2014
Three common organizational issues can derail the effective use of predictive analytics. What can enterprises do to avoid these issues?