Dirty data is unnecessary drama
Get straight to action. Clean messy data, remove duplicates using AI, merge multiple records, and create master records with WinPure’s Clean&Match platform – designed for business and tech users. No manual work or coding skills required.
Transform dirty & duplicate data
with Clean&Match Enterprise
Missing information, variations & duplication in names, and outdated & obsolete addresses are dirty data examples that cause flawed insights, failed strategies, and poor marketing outcomes. WinPure helps you overcome these challenges by enabling faster, and more accurate data transformation. Go from messy to meaningful in just minutes 👇
Need help with data cleansing & deduplication?
Two-in-one data clean
& match solution
WinPure is the industry’s only data quality tool designed with user-friendliness in mind, combining data cleaning and AI matching technology to enable non-technical users to tackle issues with dirty and duplicate data. You don’t need programming skills or database expertise. Simply plug in your data and follow an easy, step-by-step process to clean and match it.
How customers use Clean&Match
(and the results they achieved!)
- Word manager for custom rule setting – users can define attributes to ignore or include in data cleansing & matching, reducing false positives.
- Define custom match definitions – customers can edit, add, or remove custom match definitions without a single line of code.
- Knowledge base library manager – a personalized dictionary for users to record values that they want the software to ignore or replace.
- Merge/purge data – users can overwrite, merge, and purge duplicate data to create updated final master records.
- Creating master records – is as easy as selecting a checkbox. Users simply choose which version they are satisfied with to keep as a master record!
Serving clients across 50+ countries
We’ve helped businesses & government organizations across the US, UK, AUS, CAD, and other countries improve their data quality.
4000+
SME businesses served
97%
data matching accuracy
95%
Customer retention rate
Case study: See how this company used Clean&Match for data de-duplication
With data spanning across lots of systems, from systems such as Netsuite, SQL Server, Salesforce and Excel, Mesmerize were using a large outsourcing team to work on data deduplication and address cleansing projects…
Recommended by industry leaders
Rated by leading platforms
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.
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.
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.
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.
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.
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 Free Trial with Unlimited Support!
Explore WinPure’s award-winning AI Data Quality platform packed with capabilities like:
- Advanced Matching Algorithms
- Customizable Matching Rules
- Data Parsing and Standardization
- Data Cleansing and Deduplication
- Address Verification and Standardization
- Automated Workflows
…. and much more!
Data quality management resources & insights
Meet Data Leaders & Experts
Got a question for top data professionals? Our webinars provide a unique opportunity to meet and engage with industry people as they answer your queries live.
Listen to Insightful Podcasts
Tune in to listen to the people who know their way around data. Podcasts are presented by the WinPure team, bringing you insights to make data-driven decisions.
Enjoy Interviews and Insights
Read exclusive interviews, helpful guides, and insights from top data management experts. We help you make sense of your data with a knowledge hub of quality content.
Frequently asked questions
Data matching software is an application that identifies and eliminates duplicate records in a database. It uses specialised algorithms to find duplicate entries, allowing users to remove or merge them.
It can identify and eliminate duplicate records in a database, improving data quality and ensuring accurate analysis and reporting. It helps organisations maintain clean and reliable data for various purposes.
Absolutely! Clean & Match is adept at processing data from diverse regions. It has a deep domain knowledge of names, including nicknames and multicultural name variations.
Clean & Match employs advanced algorithms, machine learning, and rigorous validation techniques. Accuracy is its hallmark.
Indeed! Clean & Match can easily integrate and works effortlessly with popular CRM platforms.
Clean & Match can easily handle swathes of datasets in vast spreadsheets with advanced algorithms, machine learning, and rigorous validation techniques.
Absolutely! Clean & Match can easily connect similar-but-not-identical data points to improve your overall data quality.
Clean & Match doesn’t stop at cleaning; it also offers data enrichment by identifying missing info, filling in the blanks, and elevating your records.
Yes, Clean & Match’s intuitive and user-friendly interface allows users of all expertise levels to benefit from better data quality.
Clean & Match employs sophisticated algorithms to identify and reveal duplicates, aliases, and data anomalies.
