What is data cleansing?
Data cleansing is the process of identifying and correcting incomplete, incorrect, duplicate, and erroneous data in a dataset. It can take many forms, but the goal is always the same: stronger returns, reduced risk.
Inevitably, data decays over time. With personal data, you have births, marriages, deaths, and changes of address happening continuously. And if your data doesn’t take account of all that, it’s less useful when you come to make decisions.
To mitigate the risks of out-of-date or inaccurate data, organisations need a data cleanse or data management program. By ensuring their data is always as accurate as possible they are better placed to maintain good customer relationships, improve efficiency, drive a stronger return on investment, and obtain data-driven insight.
Our approach to data cleansing
Good-quality data not only drives everything Edit stands for, it’s at the heart of everything our clients are trying to achieve.
Our data cleansing solution is now more accessible than ever; you can come and talk to our expert team who can help using industry-leading products and tools, or very shortly you will be able to go online through our self-service data processing portal, Pura, which will be live in the coming weeks.