See how Xurmo
enables better
decision making.

Companies, large and small are using Xurmo to improve decision making and create long-term impact. But across all industries, decision makers face the kind of problems that machine learning excels at solving. Problems like churn, fraud and predictive analysis.



A large insurance provider wanted to cluster customers into unique segments and then to identify within those segments, which customers were likely to churn.


The solution involved the Clustering, Classification and Visualization modules of Xurmo. We created a clustering model that allowed our customer to segregate their clientele into eight distinct segments. Classification was used to create a model that could predict with a certain probability estimate as to whether a customer would churn or not. Once the models were created, they were tied to visualizations and presented as an end user application (Dashboard) for the Client's Analysts.


Lowered rate of churn by 20%
Enabled pre-emptive measures to be implemented to prevent a customer churning