WinPure combines rule-based logic with advanced similarity scoring to resolve entities with unmatched accuracy.
Perfect for organisations that demand precision, transparency, and control.
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Streamline your customer data by consolidating duplicates across marketing lists, databases, spreadsheets, and CRMs. WinPure’s proprietary fuzzy match algorithm can be used by business & tech teams to compare, match, and group duplicate data.
WinPure has exceptional data access, effortlessly connecting to and importing information from diverse sources – ranging from files like Text/CSV, Excel, and XML, to a wide spectrum of databases including SQL Server, Oracle, MySQL, MS Access, and cloud platforms like MS Azure & CRM systems like Salesforce and Zoho.


WinPure goes beyond simple duplicate removal. For those with specific data match requirements, WinPure lets you set custom match logic and thresholds. This means you can define exactly at what level similar records need to be to be considered duplicates. Easily tailor the matching process to your data, whether it’s email addresses, names with typos, or variations in addresses.
WinPure’s fuzzy match solution offers a powerful non-phonetic fuzzy matching capability, ensuring your data is matched accurately even in the presence of keying errors. Save time and effort by accurately identifying variations in company names, such as Flowers Limited or Flowers LTD, or Marketing World PLC or Marketing World. Go beyond VLookUps for name and abbreviation matching!




Save time & effort with a true no-code approach

On-premises platform with full security control

Easy-to-use software for business & non-tech users

Get the highest data match accuracy scores of 97%

Data quality without additional talent & tool costs

Meet business goals faster with no code DQM