Assume that you want to analyse the key numbers of your data, there are brilliant tools for this out in the wild.
But what if you want to explore and visually analyze not only numbers, but also relations, dependencies, clusters?
I think the CUBIST FP7 research project, which has reached its completion recently, deserves some recognition. Not only because it was a major effort to really combine and unite Business Intelligence with Semantic Technologies, but also because its major components have been open sourced at https://github.com/ksiomelo/cubix, https://github.com/SAP, and https://github.com/acesco1/rdf2fca-service.
It was really exciting to see CUBIST prototype applied to a diverse set of use cases such as bioinformatics, recruitment, and space industry. It was also a challenging project, not only team-wise, because it involved a geographically distrubuted team whose members were from very different domains, having a diverse set of backgrounds, but also personally, e.g. I had the opportunity to learn about a beautiful and practically useful mathematical theory called Formal Concept Analysis, as well as its applications to the analysis of SOLAR telemetry data. (Having a project leader who did his Ph.D. under the supervision of the professor who invented the theory of Formal Concept Analysis, and also having colleagues who knew SOLAR operations inside out (and who were very willing to help when they were not busy actually talking to the astronauts on ISS) certainly made my job easier.)
If you want to see more videos of CUBIST in Action, the CUBIST YouTube Channel is waiting for you at: http://www.youtube.com/user/CUBISTFP7ICT. You can also browse through the Scientific Papers and Deliverables that CUBIST team produced during the last 3 years.