Modeling and Analytical Methods

Here, we identify linear inter-relationships among variables during exploratory analysis. This is useful for producing pricing analytics

This finds close relationships between two sets of occurrences/events (identify market-basket), and is used for cross-sell/up-sell of products

Here we segment based on transaction behaviour or similarity of customer attributes, and works for Product Pricing Analytics and portfolio insights

This is a generalized linear model for classification of events used in Product pricing analytics, Credit scoring, Bad Debt prediction, churn analysis

A classifier which builds a decision tree based on historic examples basis which new cases can be predicted. This can be used for customer response to dunning actions and Churn Prediction