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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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






























