Company
L’Amy America
Industry
Retail
L’Amy America is a leader in the optical industry, providing a wide portfolio of eyewear brands to retailers and consumers across the U.S.
Like many companies dealing with multiple data sources, L’Amy America faced a tedious and error-prone process when it came to managing data—especially matching lists of names and addresses. Seth Sanford, IT Manager at L’Amy America, needed a solution that could reduce the time spent manually comparing datasets and eliminate the risk of mismatches that often came with human processing. That’s when he discovered WinPure.
The Challenge
Manually matching datasets with names and addresses
Before using WinPure, the team used manual methods to match data between lists. This included aligning hundreds of thousands of company names and street addresses, which were time-consuming and, in many cases, simply not scalable.
For large datasets, matching became a near-impossible job. The team was stuck with tools and processes that couldn’t keep up with the volume or complexity of the data, slowing down projects and increasing the likelihood of mistakes. L’Amy America needed a faster, more reliable way to clean and match its records across systems.
The Solution
Accurate fuzzy matching, made simple & user-friendly
After finding WinPure through a Google search, Seth gave it a try—and it quickly became a key part of his data management toolkit.
The standout feature? Fuzzy matching.
WinPure’s ability to identify close—but not exact—matches in company names and addresses was a game-changer. Matching across tables that previously took hours—or wasn’t feasible at all—became a simple, repeatable process.
Key features that stood out for Seth included:
Fuzzy matching across tables: This made it possible to match records even when data wasn’t perfectly aligned.
Data cleaning options: Seth appreciated the built-in tools for scrubbing data before running matches.
Easy export of results: Once matches were identified, the team could easily export clean lists for immediate use.
With WinPure, what used to be a frustrating and inconsistent process became streamlined, efficient, and scalable.
Results & Benefits
A smarter, faster approach to data
Since 2021, L’Amy America has been using WinPure to manage data more effectively. The improvements have been noticeable:
Faster data matching: What once took hours can now be done in minutes.
Better scalability: Large lists that were previously unmanageable are now processed with ease.
Continual improvement: Seth noted the steady upgrades from version to version, making the tool more powerful over time.
The software works very well for my needs—it finds matches quickly and the results can be easily exported. The improvements that have been made from one version to the next are appreciated as well.
Seth Sanford,
IT Manager
Industry Clients
