Business Intelligence - Research
5 Reasons a 'Data First' Strategy WorksApril 18, 2014
A system-centric approach to standardizing enterprise data and reporting rarely works, says Pedro Cardoso of BackOffice Associates, who suggests using a 'data first' strategy instead.
Startup Spotlight: InsightSquared's Data AnalyticsApril 8, 2014
InsightSquared is experiencing triple-digit annual growth, thanks to its SaaS applications designed to make data analytics more accessible to business managers.
5 Data Discovery PitfallsMarch 28, 2014
While data visualization is high on business intelligence wish lists, evaluating data discovery tools can be tricky. Organizations should consider these five key points.
IBM’s Watson Will Change Your Data Analytics – but How?March 25, 2014
IBM is focusing on real-world use cases for its Watson technology. Enterprises are sure to follow. Where are some logical areas to put Watson to work?
Big Data Analytics: What Can You Learn from High Achievers?March 21, 2014
Retailers experiencing success with their Big Data analytics initiatives differ from their lower-performing peers in several key respects, finds IDC Retail Insights.
6 Big Business Intelligence MistakesMarch 17, 2014
Want a successful business intelligence implementation? Then make sure to avoid these six big BI mistakes.
Analytics, Business Intelligence Are Converging, not MergingMarch 14, 2014
Increasing enterprise adoption of analytics will not cancel out a need for more traditional business intelligence, say Gartner analysts.
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.