About Predictive Modelling

 

Data was considered a competitive advantage by businesses in the past, but now data is more like a commodity and is in many cases freely available and widely disseminated over the internet. Kenex recognises a data overload problem for organisations with the increasing volume of data available. To use data effectively, they need to combine their spatial data and knowledge of process in a way that allows them to manage their business more effectively. New business opportunities can be created by using predictive models that do just this.

Predictive modelling uses Geographic Information Systems (GIS) and specialised spatial data modelling software to integrate large amounts of spatial data and calculate the probability of an event or site occurring in an area. You could determine the best places to search for an endangered plant, to place a wind farm, where the most likely place is for a landslide to occur, or even where the next big gold mine in Russia is hiding!
 

 

Example of fuzzy logic modelling for wind farm site identification