datamidelity
Datamidelity refers to the state of data being accurate, complete, consistent, and reliable throughout its lifecycle. It ensures that data can be trusted for decision-making, analysis, and operational processes. Achieving datamidelity involves implementing robust data governance policies and practices.
Key aspects of datamidelity include data accuracy, which means the data correctly reflects the real-world entity
Organizations strive for datamidelity to mitigate risks associated with poor data quality, such as flawed business
Methods to enhance datamidelity include data profiling to understand existing data quality, data cleansing to correct