Data Cleansing: Definition, Tools & Examples

Uncover the importance of data cleansing and its role in enhancing profitability, efficiency, and unlocking your competitive advantage.

What is data cleansing?

Data cleansing is the process of correcting and removing errors or inaccuracies within a dataset to improve data quality, facilitate reliable insights, and aid decision-making.

Data Cleansing Tools

BMC Atrium CMDB

BMC Atrium CMDB

Ensures data is accurate, standardized, and duplicate-free, which is critical for downstream processes and applications that rely on CMDB data.

Learn more right-arrow

Is there a difference between data cleansing vs. data cleaning?

While there can be some variations in intensity and focus, these terms are generally interchangeable, along with “data washing” and “data scrubbing.”

Data Cleansing Examples






Data Cleaning Techniques







How does the data cleaning process work











Robust data cleansing solutions ensure data accuracy, consistency, and completeness, empowering organizations to make informed decisions, optimize operations, and gain a competitive edge.

E-book

Simplify application and data workflow orchestration across hybrid environments

Simplify application and data workflow orchestration

FAQ