Poor data quality is a rising concern for many business leaders as they fail to meet their targeted goals. The team of data analysts – that is supposed to produce reliable data insights – spend 80% of their time cleaning and preparing data, and only 20% of the time is left to do the actual analysis. This has a huge impact on the team’s productivity as they have to manually validate the data quality of multiple datasets.
Ref:https://martech.zone/data-cleansing-tools/
