Data scrubbing and data cleansing are two names of a data solution. It is the process of removing errors, typos, oddities and duplicity or anything that corrupt data in your database. This process involves many subset services, including data conversion, extraction, capturing, data entry, de-duplication, normalization, standardization, aggregation and optimisation etc.. This process aims at ensuring that the information is accurate and ready to be used for any research or business purposes. Being clean, the database or its insight results in decisions that are feasible and close to reality. This is why data scientists and researchers use cleaning & scrubbing solutions for machine learning and AI discovery. The best thing is that it can be done manually and automatically (via a software or application).
Data Cleansing and Scrubbing Solutions
David pollard Answered question October 29, 2021