The industry’s #1 data matching solution
Best-in-class matching accuracy
Leverage the best of proprietary and established fuzzy logic algorithms to deliver the most precise results with minimal false positives.
Intuitive user interface
Easily fix data errors with one-click transformations and custom name and address libraries without friction. Reconcile unresolved entities without extensive training.
Flexible matching rules
Fine-tune your match results by identifying inter, intra, or both matches of source data and determining golden records by matching type, score threshold, and weight.
Rapid time-to-insight
Deliver your deduplication and data quality projects weeks ahead of project deadline with fast intelligent record search and match scoring processes.
Trusted By
Best-in-class matching accuracy
Leverage the best of proprietary and established fuzzy logic algorithms to deliver the most precise results with minimal false positives.
Intuitive user interface
Easily fix data errors with one-click transformations and custom name and address libraries without friction. Reconcile unresolved entities without extensive training.
Flexible matching rules
Fine-tune your match results by identifying inter, intra, or both matches of source data and determining golden records by matching type, score threshold, and weight.
Rapid time-to-insight
Deliver your deduplication and data quality projects weeks ahead of project deadline with fast intelligent record search and match scoring processes.
Offerings
Why choose Data Ladder

Industry-highest matching accuracy

One-stop data quality engine

Turnkey cleansing & standardization

CASS-certified address verification

Real-time API flows or batch scheduling

Extensive industry expertise
Partner for your data goals
We work closely with you from setup to optimization
Setup
Deployment
Deploy the software on a local machine (desktop/server) behind your firewall or within your IT infrastructure, on the cloud for flexibility and ease of use, or both to leverage both cloud and on-premises environments.
Strategy and roadmap
Execution
Optimization
CUSTOMER STORIES
Still unsure? See why others prefer Data Ladder

DataMatch Enterprise™ was much easier to use than the other solutions we looked at. Being able to automate data cleaning and matching has saved us hundreds of person-hours each year.


We obtained 24% higher match rate using DataMatch Enterprise™ versus our standard vendor.


DataMatch™ has cut my cleaning time down from 10-14 days to approximately 16 hours.

Want to know more?
Check out DME resources

Merging Data from Multiple Sources – Challenges and Solutions
Oops! We could not locate your form.

ERP Data Quality: Why It Matters, Common Issues, and How to Improve It
Last Updated on April 16, 2026 According to Gartner, poor data quality costs the average enterprise $12.9 million per year. In an ERP environment, where

SAP Is Acquiring Reltio. Here Is What Reltio Customers Need to Know.
Last Updated on April 2, 2026 On March 27, 2026, SAP said it would acquire Reltio, a leading enterprise master data management platform. The deal should close

ERP Data Quality: Why It Matters, Common Issues, and How to Improve It
Last Updated on April 16, 2026 According to Gartner, poor data quality costs the average enterprise $12.9 million per year. In an ERP environment, where

SAP Is Acquiring Reltio. Here Is What Reltio Customers Need to Know.
Last Updated on April 2, 2026 On March 27, 2026, SAP said it would acquire Reltio, a leading enterprise master data management platform. The deal should close

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
ready? let's go
Try now or get a demo with an expert!
"*" indicates required fields






























