Financial models, reports, and analysis are only as good as the data used. If you have incorrect, invalid, and inconsistent data, then valuations and decisions are in trouble. Business decisions will be incorrect and misleading. Data cleaning is a never-ending process. For as long as data is continuously used, edited, updated, and accessed by different people, reliable clean data is important.  In other words, the integrity of a tidy and clean data must be maintained as much as possible. Data cleaning helps entrepreneurs, analysts, executives, and other professionals to not only optimize data but to translate these into useful information for business improvements and strategies.