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
SetupDeploymentStrategy & Roadmap
ExecutionOptimizationSetupSetup
DeploymentDeployment
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 & RoadmapStrategy and roadmap
ExecutionExecution
OptimizationOptimization
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
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8 principles of data management
An average enterprise – with 200-500 employees – uses about 123 SaaS applications to digitize their business processes. With large amounts of data being generated
Data quality management: What, why, how, and best practices
Quality is never an accident; it is always the result of high intention, sincere effort, intelligent direction, and skillful execution; It represents the wise choice
8 principles of data management
An average enterprise – with 200-500 employees – uses about 123 SaaS applications to digitize their business processes. With large amounts of data being generated
Data quality management: What, why, how, and best practices
Quality is never an accident; it is always the result of high intention, sincere effort, intelligent direction, and skillful execution; It represents the wise choice
How to improve data quality in financial services
24 percent of insurers say that they are ‘not very confident’ about the data they use to assess and price risk. Corinium Intelligence The economic
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