Data Cleansing

Data cleansing, also known as data cleaning, is the process of identifying and correcting or removing inaccuracies, inconsistencies, and errors in data. It is an essential step in data preparation and can improve the quality and reliability of data.

Our process Of Data cleansing can involve several steps, including:

  • Identifying and removing duplicate records
  • Verifying and standardizing data, such as ensuring that all phone numbers are in a consistent format
  • Removing or correcting invalid or inaccurate data, such as addresses that no longer exist or invalid email addresses
  • Filling in missing data, such as adding missing zip codes or email addresses
  • De-duplication of records
  • Normalization of data, such as converting data into a consistent format for easier analysis and reporting.
Data-Cleaning-scaled
Data cleansing, also known as data cleaning, is the process of identifying and correcting or removing inaccuracies, inconsistencies, and errors in data. It is an essential step in data preparation and can improve the quality and reliability of data.