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WinPure offers seamless integration with a wide range of popular databases and file applications – including Text/CSV, Excel, XML, SQL Server, Oracle, MySQL, MS Access, MS Azure, Salesforce & more. This capability ensures connectivity & eliminates the need for time-consuming file & format conversions, making Winpure a versatile solution for record linkage processes.


WinPure’s embedded data profiling and data cleansing feature helps you analyze & fix your data’s structure, completeness, inconsistencies, and missing values. This comprehensive cleaning process ensures your data is standardized and of the highest quality, ultimately leading to more accurate and reliable record matching during the linkage stage.
Go beyond basic string matching and VLookUp to consolidate records. WinPure’s fuzzy match algorithm accounts for typos, abbreviations, and variations in data entry. These algorithms can identify potential matches even when there are minor discrepancies in names, addresses, or other fields. This advanced matching capability leads to a more accurate record linkage especially when the dataset is highly messy.


WinPure’s record linkage software tackles a common challenge for global enterprises: identifying and eliminating duplicate records with cultural variations in names. Leveraging artificial intelligence, WinPure intelligently analyzes vast datasets, recognizing even subtle differences in name formats across cultures. This ensures accurate deduplication, eliminating redundant data and improving data consistency for better analysis and decision-making.


We’ve helped businesses & government organizations across the US, UK, AUS, CAD, and other countries improve their data quality.
SME businesses served
data matching accuracy
Customer retention rate

Customer data in marketing is often inconsistent and incomplete. With information coming from many sources, accuracy becomes difficult to maintain. WinPure helps agencies and companies like Adventure Solutions, Market Hardware to clean, transform, and unify data into a single, reliable customer view.

Healthcare organizations handle vast amounts of sensitive information where even minor data errors can lead to serious consequences. Healthcare organizations like, GE Healthcare and Centura Health use WinPure to clean, standardize, and deduplicate patient records, ensuring data accuracy, integrity, and trust across their systems.

WinPure specializes in enabling local and global government bodies with identity resolution, cross-platform data match, and consolidation, as well as creating clean and accurate data. We have worked with delegated civil bodies across the US and UK, helping them with optimizing the quality of public data in a secure, on-premises environment.

Retailers depend on accurate data to personalize experiences and forecast demand, but fragmented systems often create duplicates and missed insights. See how companies like L’Amy America and DrinxSjobeck use WinPure to match and unify customer records, ensuring one reliable view of every shopper across all channels.

In finance, even small data errors can lead to compliance risks and reporting inaccuracies. Financial institutions like HDL and Brotherhood Mutual use WinPure to clean, match, and unify complex customer and transaction records. With accurate, duplicate-free data, they improve reporting, strengthen compliance, and make confident business decisions.
…. and much more!
Record linkage software is a tool used to identify and link similar or related records across different datasets, facilitating data integration and analysis.
Record linkage software uses probabilistic and fuzzy matching algorithms to compare data attributes and identify records that likely refer to the same entity, even if they have variations or discrepancies.
Record linkage software is essential for integrating disparate data sources, resolving data inconsistencies, and uncovering valuable insights by linking related information across datasets.
Yes, record linkage software is designed to handle large-scale data integration tasks, offering scalable solutions to process extensive datasets efficiently.
Look for features such as customizable matching criteria, support for fuzzy matching techniques, scalability to handle big data, and integration capabilities with various data sources for comprehensive record linkage.


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