Match Data Pro provides both basic and advanced cleansing capabilities. You can easily remove unwanted characters like leading/trailing spaces, punctuation, and prefixes, as well as apply logic-driven transformations, dynamic string functions, search-based updates, and data conversion tools

Absolutely. You can create rules, save them, and apply them across multiple projects. This ensures consistent data quality and lets you reuse logic without having to recreate transformations each time.

Advanced cleansing includes conditional logic—like “if a field contains a certain value, assign X; otherwise assign Y.” You can apply this within the same project to clean intelligently, without writing code.

Yes. For numeric data, you can use math operations (sum, difference, average) across columns, enabling inline calculations and clean transformations without exporting to spreadsheets.

Absolutely. The documentation includes a visual Summary section outlining key capabilities:

• Quick cleanup of messy data

• Logic-driven column transformations

• Modifiable rule lists for custom execution

• Flexible basic and advanced options to suit any cleansing need

Yes. You’ll find a video guide at the top of the Data Cleansing documentation page, helping users see exactly how to set up, apply, and test cleansing rules.

Yes. The documentation includes a “Start Project” section to guide users through setup workflows, and a dedicated FAQ section for quick answers to common queries.

You can reach out to the Match Data Pro support team through the Live Chat feature on the platform or by emailing support@matchdatapro.com.