Our client is one of the largest life insurance companies in the United States. The client was interested in improving short and long-term revenue projections by determining how likely a policyholder was to have his or her policy suspended due to unpaid premiums.

The specific objectives were:

– Predict the probability of policy suspension ascertained from 24 months of unpaid premiums

– Determine factors that drive policyholders’ decisions to suspend premium payments

• Multiple data sources (including external data, longitudinal data)
• Data used had limited metadata, sparse data dictionaries, and ambiguous business contexts for certain elements