Description: A scoring model in the context of ETL (Extract, Transform, Load) is an analytical tool used to assign scores to data based on specific criteria. This model allows for the evaluation of data quality, facilitating the identification of records that meet or do not meet established standards. Through metrics such as completeness, accuracy, consistency, and validity, scores can be assigned that reflect the state of the data. Implementing a scoring model is crucial for organizations seeking to ensure data integrity, as it provides a structured way to measure and improve information quality. Furthermore, this model can be tailored to different contexts and needs, allowing organizations to customize scoring criteria according to their specific objectives. In summary, the scoring model is an essential tool in the ETL process, as it helps organizations make informed decisions based on the quality of the data they handle.
