Still spending 80% of your time on manual data cleansing?

Stop. You were meant for greater things – like strategy, insights, and predictions. Achieve all this (and more) with WinPure’s data cleansing tool. We take care of the mundane, so you can do the spectacular.

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Powerful step-by-step
data cleansing software module

Why spend half your working hours building data cleansing algorithms and manually setting master records, when you can do that with WinPure’s automated data cleansing tool. You can now clean, standardize, and create master records in six simple steps. Designed for both business and tech users, WinPure’s data cleansing software saves 80% of the time spent in manual tasks. Let us handle the mundane tasks so you can do the big things.

Data Cleaning
Data Cleaning

Key data cleansing software features unique to WinPure

Powerful matrix with over 30 options to treat data

Revolutionary WinPure CleanMatrix™ provides a simple yet sophisticated method of cleaning processes. Convert formats, remove problematic columns, merge columns, and do a whole lot more with a dynamic range of one-click data transformation options. Data cleaning has never been so easy and stress-free.

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Custom Word Manager to create your own word dictionary

Use our Custom Word Manager to tailor data cleansing to your needs. Ensure consistency by incorporating specific spelling conventions (e.g., “Limited” vs “Ltd.”) into our custom Word Manager. With this feature, effortlessly maintain data integrity while adhering to organizational data governance standards.

Easy-to-use address parsing for transforming address data

Our address parser breaking down complex address strings into their individual components such as street names, city names, zip codes, and more. By parsing address for standardizing and normalizing elements, you can achieve higher data quality and integrity.

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How customers use data cleansing
(and the results they achieved!)


  • Automatic creation of master records – users were able to define rules to automatically select records, enabling faster access to reliable data.
  • Setting custom matrixes for projects – users with complex cleaning requirements were able to set up (and re-use) custom matrixes for each project.
  • Bulk transformation of data formats – with one-click selections, users were able to standardize large volumes of data and create custom governance rules on the go.
  • Saving of $100,000 – some customers saved up to $100K annually by automating the data cleansing process and minimizing manual intervention.
  • Data governance policies – database managers were able to identify problems with data collection & implement better governance standards.

Explore data cleansing for free

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Serving clients across 50+ countries

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

Real-world results
enabling data success across industries​



Consolidate customer records with marketing data

Customer data in marketing is one of the most problematic in terms of consistency and completeness. Because the data is collected via multiple sources, it is impossible to have clean data. WinPure can be used by marketing teams and agencies to treat, transform, and consolidate customer data, with the end goal of achieving holistic customer records.

Marketing Case Studies



Obtain insights from patient data

The healthcare sector is burdened by the sensitivity and criticality of patient data. Mistakes in identity data, duplicate records, or even human errors can cause cases of misdiagnosis, flawed reports, & difficulties for the patient and their families. WinPure has worked with companies like GE Healthcare & Centura Health to clean and deduplicate data while maintaining accuracy, data sensitivity and integrity.

Healthcare Case Studies


Local Goverments

Improve public benefits with government data

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. See how we helped local governments with data quality management.

Government Case Studies



Amplify performance with sports data

Sports teams are now relying on quality data to get granular insights into athletes’ and coaches’ performance. Additionally, it also allows them to create innovative fan engagement strategies fueling deeper analysis and discussions. WinPure has worked with sports associations like the English Football League, West Ham United, and more on data cleaning and deduplication goals.

Sports Case Studies



Better customer data management for media industries

Media companies wrestle with vast amounts of data quality issues. WinPure offers a data management solution that tackles duplicates, corrects errors, and ensures the accuracy of audience lists, content metadata, and partner information. It streamlines data from various sources, creating a unified view for better decision-making. See how a similar organization in the media industry benefited from WinPure.

Media Case Studies

Recommended by industry leaders
Rated by leading platforms

Eric Branson
Eric Branson
Founder of Highr

Definitely recommend WinPure for anyone dealing with large quantities of data. The fuzzy matching is really intuitive and after a bit of testing with the settings it ends up being able to remove dupes better than anything else I've ever tried.

Alexander Goldenberg
Director of Information Technology and Operations

Using WinPure shaves hours off when comparing data from different sources. Its very fast and the results are brilliant. The product support and ease of use are great. The support team is very knowledgeable and easy to connect with.

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Edward B.
Company Owner

We perform multiple matching projects for our clients and WinPure has filled the bill for these. The product is very easy to use, incredibly fast and we can complete a large matches in a very short time.

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Richard F.
Company Owner

WinPure is a really great product, we've been using it with excellent results for many years now, for finding and removing duplicate records and to keep our lists and database more accurate.

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Cynthia T.
Director of Information Technology

WinPure Clean & Match Enterprise works really great to analyze data and find duplicated customer records. It saves us tons of money when mailing catalogs. This is a great product for the money and easy to use.

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Naveed B.
IT Consultant

A very powerful but easy to use tool for cleansing and removing duplicates from databases. I have used Clean & Match for many of my clients, and I am regularly recommending this product to other companies.

Request a 7 Day Trial

Explore WinPure’s award-winning AI Data Quality platform packed with capabilities like:

  • Data Profiling
  • Data Cleansing & Standardization
  • Data/Fuzzy Matching
  • Data Deduplication
  • Entity Resolution
  • Address Verification

…. and much more!

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Data quality management resources & insights


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Data cleansing FAQs

What is data cleansing, and why is it crucial for businesses?

Data cleansing, also known as data scrubbing or data cleaning, is detecting and correcting errors, inconsistencies, and inaccuracies in a dataset. Businesses must regularly cleanse their data to ensure accuracy, reliability, and compliance with regulations.

How does data cleansing contribute to improved data quality?

Data cleansing helps improve data quality by identifying and rectifying errors such as duplicate records, missing values, incorrect formatting, and outdated information. ​

What are the common data quality issues that data cleansing addresses?

Data cleansing addresses various data quality issues, including duplicate records, misspellings, incomplete information, outdated entries, and inconsistencies in formatting or structure​

What are the methodologies and techniques used in data cleansing?

Data cleansing methodologies used in WinPure include automated algorithms, pattern matching, and data validation rules. Techniques such as deduplication, standardization, normalization, and enrichment are employed to cleanse and enhance the quality of data.

How frequently should businesses perform data cleansing?

The frequency of data cleansing depends on factors such as the volume of data, the rate of data entry, and the criticality of data accuracy to business operations. However, it’s generally recommended to establish regular data cleansing schedules, such as quarterly or annually, to maintain data quality consistently.​