Data Cleansing

« Back to Glossary Index

Data Cleansing, also known as data scrubbing or data cleaning, is the process of identifying and rectifying errors, inconsistencies, inaccuracies, and redundancies in a dataset. The goal of data cleansing is to improve data quality and reliability by ensuring that the data is accurate, complete, consistent, and up-to-date.

Data Cleansing is a critical process that ensures data accuracy, consistency, and reliability by identifying and rectifying errors and inaccuracies. It improves the quality of data, leading to better decision-making, efficient operations, and improved customer experiences.

« Back to Glossary Index


DealSignal provides fresh, accurate, verified B2B data that helps sales & marketing teams maximize their efficiency and performance and drive more revenue.

You may also like


B2B Contact Quantity Calculator

Determine the number of contacts you’ll need for sales outreach and/or marketing campaigns. More importantly, see how data quality will impact your performance and total data acquisition cost.

Read More »