Abstract: Methods, system, and devices for improving pre-modeling processing of data for use in predictive modeling. A computing device may be configured to perform operations for processing client data using metadata describing various client-specific parameters. Received client data may be loaded within stage tables based on the client-specific parameters, such flat file locations. The computing device may perform various validation checks on the loaded data, such as checks to identify duplication data records associated with client data received at different times, duplication data records occurring within an overlap period, and deleted records. In an embodiment, the computing device may perform additional checks to validate data records that include changing status information, such as marital status data of an employee. The computing device may use processed client data to generate weekly aggregated tables based on custom aggregation timeframes.

Abstract: Methods, system, and devices for improving pre-modeling processing of data for use in predictive modeling. A computing device may be configured to perform operations for processing client data using metadata describing various client-specific parameters. Received client data may be loaded within stage tables based on the client-specific parameters, such flat file locations. The computing device may perform various validation checks on the loaded data, such as checks to identify duplication data records associated with client data received at different times, duplication data records occurring within an overlap period, and deleted records. In an embodiment, the computing device may perform additional checks to validate data records that include changing status information, such as marital status data of an employee. The computing device may use processed client data to generate weekly aggregated tables based on custom aggregation timeframes.