datalaatu
Datalaatu is a term used in information management to describe the degree to which data fulfills the needs of its intended use. It encompasses several dimensions, commonly including accuracy, completeness, consistency, timeliness, validity, and uniqueness. Datalaatu is important for decision making, operational processes, analytics, and regulatory compliance, because poor quality data can lead to incorrect insights or faulty actions.
Assessment of datalaatu relies on data profiling, quality metrics, and data lineage. Common metrics include error
Practices to improve datalaatu include data cleansing, normalization and standardization, deduplication, enrichment from reference data, and
Common challenges include data silos, inconsistent metadata, varying data definitions across sources, and the pace of