Data Cleansing

Data cleansing is the process of correcting, removing, detecting, and modifying inaccurate or corrupt data from a business’s database or systems. The data “cleansed” often gets rid of unnecessary or malicious material limiting strategic data interpretations and efficient data planning for the business.

Data cleansing is also known as data preparation and is used by organizations to have “better” data for “better” decision-making. Data cleansing involves:

• Developing a data quality plan
• Correcting incorrect data at the source
• Measuring data accuracy
• Managing duplicate data
• Defining and completing any missing data or information

Data management functions need to identify ways to hire quality data cleansing specialists who are up-to-date with recent data cleansing tools and have the necessary data interpretation skills while keeping employment costs low. A solution; outsourcing.

Many data cleansing tasks can be completed digitally, which makes them well-suited to being performed in an offshore environment. As long as your business is offshore ready, outsourcing data cleansing tasks to the Philippines is cost-effective and straightforward.