So, as one knowledgeable in the world of IT, you think you probably consider yourself pretty well-read on the topic of data cleansing, and consider it a pretty straightforward process. Yes, while there is actually a clear-cut method to data cleansing, did you know poor data quality costs the U.S. economy hundreds of billions of dollars? According to Gartner research, the estimate is upwards of $600 billion annually.
Data cleansing, put simply, is the act of removing and correcting a database’s dirty data. These records may be incorrect, out of date, irrelevant, or inaccurate. From incorrect phone numbers to missing zip codes, these errors can come from a number of different sources, such as misspellings during data entry, or when multiple data sources are placed together and redundant data is created due to various representations of information.
Cleaning dirty data is considered one of the biggest obstacles in data warehousing due to the large volume of issues that can arise. Using an effective data scrubbing tool can save one much time and money – and the hassle of having to fix errors manually! Contact Data Ladder for more information on our data cleansing tools.