The process involves shortlisting a list of consumable variables from a vast number falling under Construction, Occupancy, Protection, and Exposure (COPE). This enables you to better understand another company’s risk profile and exposure.
A highly accurate COPE data helps you to:
After running pre-processing techniques on the consumable variables, a customized multi-model approach is used to enhance the accuracy of the scores generated. Since it is executed via Spark and HDFS, one can scale whenever needed.