• Introduction
• Concept
• Business applications
• Independent expert opinion

In 2010, HyperCube^® entered the final round of the MIT Sloan School “Innovation Showcase”. This award recognises 10 young firms proposing innovative technologies.

“The new state-of-the-art Complex Event Intelligence: proactive/predictive optimisation of problems on a granular level through non-assumptions based analysis of massive scale non-homogenous data sets.”

Jim Champy, MIT Board

In 2011, HyperCube^® was recognised by the Pasteur Institute as the best performing data analysis tool as of today:

“We describe here a new data mining algorithm that can identify the combinations of variables that give the optimal prediction of the outcome of interest. We demonstrate that the model identified by HyperCube^® has better predictive value than any other model tested. HyperCube^® was able to identify the best cut-off value and range for continuous variables. It classified the population into high and low risk groups and made the results easier to interpret in terms of biology than the probability estimates generated by most statistical methods.”

In 2012, IDC underlined the calculation power of HyperCube^®:

“HyperCube^® has the ability to help organisations identify causal links between different factors as represented in a dataset, and present these links as business rules in a simple format to an end user. The fact that it outpaces traditional statistics by firstly requiring no hypothesis and secondly working on a full dataset rather than a sample is very powerful. It constitutes an excellent reusable asset for BearingPoint's consulting practice.”

Alys Woodward, European Business Analytics IDC