datasupporting
Datasupporting is a term used to describe the activities and systems that provide the data required to support analytical workflows and business processes. It encompasses data collection from source systems, data cleaning and transformation, quality assurance, metadata management, and governance to ensure data is available, accurate, and fit for purpose. While not always standardized as a separate discipline, datasupporting is often treated as the data provision layer within broader data management programs.
Key components include data quality management, data provenance and lineage, metadata catalogs, data governance, data security
Typical processes involve identifying data needs, sourcing data from internal or external systems, validating quality, cleansing
Benefits include improved decision accuracy, faster data provision, clearer traceability, and better regulatory compliance. Challenges can
See also: data governance, data quality, data lineage, data catalog, data provenance.