The process of fixing or removing incorrect, corrupted, incorrectly formatted, duplicate, or incomplete data within a dataset. Data cleaning helps ensure that information always matches the correct fields while making it easier for business intelligence tools to interact with data sets to find information more efficiently. Clean data ensures that the team do not have to wade through countless outdated documents and allows employees to make the most of their work hours. 89% of businesses struggle with managing data quality. According to Gartner, the average financial impact of poor data quality on organizations is $9.7 million per year.
