Process

The Data Quality Framework implementation contains 3 processes:

• The Profiling processes

• The Control processes

• The Datamart feeding processes

The Profiling processes

Profiling processes are essential to gain a deep understanding of data before using it in analysis or operations. These processes include examining data characteristics, detecting anomalies, and assessing data quality in terms of completeness, uniqueness, validity, and consistency.

The Controls processes

Control processes are designed to verify that data complies with defined rules and standards. These controls ensure that data meets quality requirements before being integrated into decision-making systems or distributed within the organization.

The Datamarts feeding processes

Data mart feeding processes are critical to ensuring that data loaded into data marts is high quality and ready for advanced analytics. These processes ensure that data is extracted, transformed, and loaded (ETL) efficiently and consistently.