Calculating each risk or performance indicator (KPI) in banking control is based on a large variety of input data that travel a long distance from the source system to the reporting environment. Numerous stages of transformation take place along this route, generating overarching data elements derived from the input data elements. Here, data lineage documents the route and the incremental transformations, whereby the individual KPI represents the parent node of the lineage tree.
At Geissbühler Weber Consulting AG, we offer you proven strategies and best practice knowledge to execute a suitable aggregation logic for data quality indicators that are tailored ideally to your requirements for data quality management.