Data Quality Software
Integrate, prepare, match, and append your data at lightning speeds. Our world-class data quality software allows you to integrate data from virtually any database, application, file format, or Big Data lake, and then profile and clean it with unparalleled ease using simple point-and-click actions.
Once you’ve standardized your data, you can match and link records to enrich and deduplicate data sets, both in batch mode or in real-time, to feed your data warehouse, MDM, or business analytics with high quality data that you can trust.
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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 26, 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 26, 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