One of the three most common data integrity and consistency problems is duplication, where the same data is recorded more than once in a database or dataset. This can lead to errors in analysis and reporting, and can also increase storage requirements and slow down system performance. The other two common problems are null or missing values and data inconsistency, where data values are contradictory or do not match expected patterns.