Data Deduplication Software
Identify and remove duplicates in virtually any data source using world-class fuzzy matching logic to enhance productivity and make better decisions with clean data. Reduce redundancy across disparate data sources and build enriched, golden record quickly all within an intuitive, graphical interface.
Our industry-leading data deduplication software helps you find matches within and across data sources with 96% accuracy using proprietary fuzzy, phonetic, and domain-specific techniques to build clean, consistent data in any source and format.
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Customer Stories
See what our customers say...
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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Check out DME resources
Merging Data from Multiple Sources – Challenges and Solutions
What is data profiling: Scope, techniques, and challenges
Today, enterprises highly depend on data for growing their businesses and scaling their goals and expectations. Huge efforts are being invested in devising the perfect
Why duplicates exist and how to get rid of them?
According to Natik Ameen, Marketing Expert at Canz Marketing, duplicate data in the company’s CRM happens due to a range of reasons: “from a human error
What is data profiling: Scope, techniques, and challenges
Today, enterprises highly depend on data for growing their businesses and scaling their goals and expectations. Huge efforts are being invested in devising the perfect
Why duplicates exist and how to get rid of them?
According to Natik Ameen, Marketing Expert at Canz Marketing, duplicate data in the company’s CRM happens due to a range of reasons: “from a human error
Merging Data from Multiple Sources – Challenges and Solutions
Merging data from multiple sources Data merging is a process where data is unified from multiple sources to represent a single point of reference or a single point