Fuzzy Matching Software
Quickly and accurately clean data and remove duplicates using world-class fuzzy matching. Best in class data quality suite for data cleansing, standardization, matching, and record merging.
You can visually score matches, assign weights, and group non-exact matches using advanced deterministic and probabilistic matching techniques, further improved with proprietary fuzzy matching algorithms.
Experience best-in-class matching with a solution that beats IBM and SAS in speed, accuracy, and ease-of-use in 15+ independent studies.
Join 100+ Clients
- No credit card required. Fully Functional
Contact Us
"*" indicates required fields
Customer Stories
See what our customers say...
It’s not just the software which works very well for us, but the focus and knowledge that Data Ladder brings to the table
Thanks to Data Ladder we successfully cleaned up and matched our internal sales file with new leads, greatly improving efficiency and sales.
We could not do these reports before. Now, DataMatch has become a main staple in my suite of tools that I work with
Want to know more?
Check out DME resources
Merging Data from Multiple Sources – Challenges and Solutions
Oops! We could not locate your form.
Address standardization guide: What, why, and how?
Inaccurate and incomplete address data can cause your mail deliveries to be returned. In fact, the US postal service handled 6.5 billion pieces of UAA
What is data integrity and how can you maintain it?
While surveying 2,190 global senior executives, only 35% claimed that they trust their organization’s data and analytics. As data usage surges across various business functions,
Address standardization guide: What, why, and how?
Inaccurate and incomplete address data can cause your mail deliveries to be returned. In fact, the US postal service handled 6.5 billion pieces of UAA
What is data integrity and how can you maintain it?
While surveying 2,190 global senior executives, only 35% claimed that they trust their organization’s data and analytics. As data usage surges across various business functions,
Guide to data survivorship: How to build the golden record?
92% of organizations claim that their data sources are full of duplicate records. To make things worse, valuable information is present in every duplicate that