What is data cleansing?

Data cleansing - otherwise known as data cleaning - is the process of correcting or removing inaccurate records from a data set. Data Cleansing can be carried out as part of a data quality management initiative in order to improve the overall quality of the data.

Related Content

Data Quality

Steps to take with data right now: Data clean up

5 tips for better Data Quality


Our Services

Strategic Consultancy

We work with our clients to understand your business vision and objectives, allowing us to curate a data strategy that compliments your goals. We provide a future state vision with concise requirements and the frameworks to make the right technology selection for you, alongside the organisational change roadmap required for you to become a data driven organisation.

Delivery & Implementation

Amplifi has become the most trusted name globally for the successful delivery of data driven solutions. Our delivery methodology is focused on all the key aspects that make data initiatives successful, focusing on not just the technology implementation but the required change initiative and the supporting quality metrics to ensure long-term, and sustainable success.

Support & Enhance

People see data initiatives as projects, but in fact there is a long term operation that needs to be run and evolve with your changing business. We provide consultancy and support to enhance and troubleshoot your data issues, ensuring the long term success of your initiative.