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What Are the Different Methods Used for Data Cleansing?

What is data cleansing and why is it important?

Having an updated database is a vital requirement for organizations these days, given that most of the business comes through marketing. An updated database will ensure that the contacts are correct and you can connect with the customers efficiently while keeping up with the compliance standards. Now, with everyday use by different team members there are high chances of the data getting corrupt (incorrect or jumbled up). It is also a possibility that some contacts may become obsolete over the time and needs replacement.

That is where data cleansing comes to rescue, since with this process you can ensure that you identify any inaccurate data and consequently correct them. Therefore, the data cleansing process aims to maintain clean (steady and correct data) customer database by finding out any inaccurate data (incorrect, obsolete, or incomplete) and remove the dirty data thereby, creating a single record for individual customer with all of their related information. While manual maintenance is usually followed, using the data cleansing tools is also picking up pace these days due to the complexity the database administrator has to face. Before we discuss the different methods used for data cleansing let’s see why cleaning data and maintaining an accurate customer database is so important.

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