Siebel Customer-Centric Enterprise Warehouse Installation and Configuration Guide > Configuring Siebel Enterprise Workforce Analytics >

About Aggregating the Payroll Table for Siebel Enterprise Workforce Analytics

You can aggregate the Payroll table to a different time levels, and aggregate levels of Employees, Jobs, and Payment Types dimensions. There are two time grain parameters to configure for this aggregate table and these parameters need to have the same value.

The GRAIN parameter has a preconfigured value of Month. The possible values for the GRAIN parameter are:

• DAY
• WEEK
• MONTH
• QUARTER
• YEAR

The Payroll aggregate table is fully loaded from the base table in the initial ETL run. The table can grow to millions of records. The Payroll aggregate table is not fully reloaded from the base table after an ETL run. Siebel Customer-Centric Enterprise Warehouse minimizes the incremental aggregation effort, by modifying the aggregate table incrementally as the base table is updated. Siebel Customer-Centric Enterprise Warehouse looks for new records in the base table during the incremental ETL. This process is done in two steps:

1. There are new records in the IA_PAYROLL table, which are inserted after the last ETL run. These new records are inserted into the NU_PAYROLL table. This step is part of the post load-processing workflow, and the mapping is suffixed with POST.
2. Siebel Customer-Centric Enterprise Warehouse aggregates the NU_PAYROLL table, and joins it with the IA_PAYROLL_A4 aggregate table to insert new or update existing buckets to the aggregate table. This step is part of the post load-processing workflow, and the mapping is suffixed with INCR.