Dirty data refers to any data that is inaccurate, incomplete, or inconsistent. It’s reported that Companies believe at least 26% of their data is Dirty and that they experience losses because of this. Businesses are increasingly turning to data Cleansing companies to improve the quality of their data. This blog discusses the types and causes […]
This post first appeared on Better Data Management For Better Business Output, please read the originial post: here
