Data Quality Poor quality data will sabotage any data integration effort and subsequently harm the business. This is an issue for data integration projects that combine data from sources of variable quality. The quality of the result is crucial to its success. This means keeping track of the lineage of the integrated data, and always paying attention to its quality.