Understanding Data Quality

Data quality is a multifaceted concept that varies in meaning based on context and application. It is essential to monitor specific metrics such as data completeness, accuracy, validity, and timeliness to ensure effective data management. Ignoring these aspects can lead to significant issues, including erroneous models and misleading dashboards, which can adversely affect business decisions. The well-known adage 'garbage in, garbage out' highlights the risk of poor data quality, emphasizing the need for structured monitoring from the outset to avoid downstream problems.