Data quality management is divided into three parts "Validation", "Enhancement" and "Reconciliation".
- Validation provides various functions for data quality, see Data Validation for more details.
- Enhancement means the addition of undelivered deal information such as day count conventions or calendar rules, see Data Enhancement for more details.
- Reconciliation contains reports and functions to compare different values against the delivery system, see Data Reconciliation for more details.
- Process Controls in Finance and Risk Management.
Figure: Dimension of FlexFinance Data Quality
The output of data quality checks is presented in task lists and reports. In addition, dashboards can be defined for the visualisation of Key Performance Indicators (KPI).