HyperCube - the predictive white box
HyperCube analyzes your raw data exhaustively and translates it into actionable insights. It analyzes large databases, with many observations and with heteregeneous data (continuous, discrete, missing, noisy…), with no preliminary hypothesis or preprocessing required.
HyperCube offers an optimized web interface, designed for a user-friendly and simple experience.
Traditional analytics can involve complex statistical equations and models to compute outputs. Highly qualified statisticians are then needed to decipher outputs to get business insights. HyperCube does away with this complexity. Its output is in the form of business rules; plain English descriptions of conditions defining an actionable insight.
HyperCube can explain a phenomenon by identifying local operational levers that correspond to an increased level of risk - or to an opportunity – in order to build action plans that are both precise and robust.
It makes robust prediction models, able to score, target or classify a phenomenon, without any prior hypothesis on the data.