Comparative study of popular Data Quality tools

Abstract: Organizations now place a high priority on data quality since it might be the key differentiator. There are already several software applications on the market that solve problems with data quality. This study examines the evaluation of data quality solutions created using open-source development practices or made available as free trial versions. The evaluation of Talend Open Studio, Data Cleaner, Informatica Data Quality, Oracle Enterprise Data Quality, and Ataccama's DQ Analyser is specifically covered in this article. Based on performance characteristics and the kinds of data quality issues they addressed, the tools were assessed. In the report, applications of practical tools in data quality programmes that support data governance and master data management activities are also briefly discussed.

Keywords: Data quality, Data Quality Tools, Data Cleansing, Data Integration