Data Deduplication Software
Identify and remove duplicates in virtually any data source using world-class fuzzy matching logic to enhance productivity and make better decisions with clean data. Reduce redundancy across disparate data sources and build enriched, golden record quickly all within an intuitive, graphical interface.
Our industry-leading data deduplication software helps you find matches within and across data sources with 96% accuracy using proprietary fuzzy, phonetic, and domain-specific techniques to build clean, consistent data in any source and format.
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Customer Stories
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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
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Merging Data from Multiple Sources – Challenges and Solutions
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Source-to-Target Mapping Best Practices for Accurate, Scalable Data Pipelines
Last Updated on January 21, 2026 Source- to-target mapping usually gets attention for about five minutes, right before a pipeline goes live. After that, it’s
Managing Nicknames, Abbreviations & Name Variants in Enterprise Entity Matching
Last Updated on January 13, 2026 A name might feel like the simplest identifier, but in enterprise datasets, it rarely is. In the US and
Source-to-Target Mapping Best Practices for Accurate, Scalable Data Pipelines
Last Updated on January 21, 2026 Source- to-target mapping usually gets attention for about five minutes, right before a pipeline goes live. After that, it’s
Managing Nicknames, Abbreviations & Name Variants in Enterprise Entity Matching
Last Updated on January 13, 2026 A name might feel like the simplest identifier, but in enterprise datasets, it rarely is. In the US and
Linking Similar Records with Incomplete Data: Proven Approaches for High-Accuracy Entity Matching
Last Updated on January 13, 2026 If record linkage were as simple as matching names and emails, organizations wouldn’t be sitting on mountains of unleveraged