In an ETL process, data from a source system is transformed and loaded into a target database. During data integrity testing, you find that some transformed data does not match the expected results. What could be the potential reasons for this discrepancy?

The potential reasons for the discrepancy could include errors in the data transformation logic. During the ETL process, data undergoes various transformations, such as aggregation, cleansing, and conversion. If there are errors in the logic implemented for these transformations, it can lead to discrepancies between the expected and actual results. Hence, validating the correctness of the data transformation logic is crucial in ensuring the integrity of the data.