Predictive Modelling

Service Description

How well can you segment your customers/population into groups that differ from each other, based on some quantity of interest? Would you want to know which customers are likely to leave, who are more likely to default, or which documents/web pages contain the most relevant content to your business? Whether it is supervised or unsupervised machine learning techniques, we have the solutions. We have applied regression, logit analysis, cluster analysis, latent class analysis, Bayesian models, neural nets, decision trees, and much more, your need will dictate the method. Case A client wanted to predict the correct level of outcome metric based on some historical data, we used the "small area estimation" method to combine multiple data sources to capitalize on each source’s strengths. Logit models were for prediction. The new level of metric had a higher accuracy when compared to the real results than the previously reported numbers. It was used for planning going forward. We’re proud to help shape and improve how our clients structure and manage their business.