Data Cleansing Software
Generate accurate business insights, increase confidence in your data, and boost productivity with data cleansing software rated faster and more accurate than IBM and SAS.
The software cleans your data by determining matches within and across data sources, deduplicating, merging linked records, filling in missing information, correcting spelling mistakes, parsing and correcting contact information such as email address, postal address, and phone number, and picking up on variations and nicknames to detect matching records.
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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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EMPI vs Entity Resolution: What Healthcare IT Teams Need to Know
Last Updated on March 3, 2026 The average healthcare organization carries 8% to 12% duplicate patient records, and in large health systems, that number often rises to 15% to

Dedupe Software Tools for Multi-Source Data Integration
Last Updated on February 27, 2026 Dedupe software identifies and removes duplicate records from databases, CRMs, and other data systems so organizations maintain a single,

EMPI vs Entity Resolution: What Healthcare IT Teams Need to Know
Last Updated on March 3, 2026 The average healthcare organization carries 8% to 12% duplicate patient records, and in large health systems, that number often rises to 15% to

Dedupe Software Tools for Multi-Source Data Integration
Last Updated on February 27, 2026 Dedupe software identifies and removes duplicate records from databases, CRMs, and other data systems so organizations maintain a single,

What Is Data Matching and Why Does It Matter?
Last Updated on February 27, 2026 Written by Data Ladder’s data quality team, drawing on 15+ years of experience helping enterprises match and deduplicate datasets






























