Data cleansing
Data cleansing, also known as data cleaning or data scrubbing, is the process of identifying and correcting errors or inconsistencies in data to improve its quality. This is a crucial step in data management, as clean and accurate data is essential for making informed business decisions.
There are various techniques used in data cleansing, such as removing duplicate records, standardizing data formats, and correcting spelling errors. For example, if a database contains multiple entries for the same customer but with slight variations in spelling or formatting, data cleansing can help merge these records into one consistent entry.
Another common example of data cleansing is correcting inaccurate or outdated information. This could involve updating addresses, phone numbers, or other contact details to ensure that the data remains up-to-date and accurate.
Overall, data cleansing is an important process that helps organizations maintain high-quality data and improve the accuracy of their analytics and reporting.
For more information, you can visit Wikipedia to learn more about data cleansing.