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
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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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Address standardization guide: What, why, and how?
Inaccurate and incomplete address data can cause your mail deliveries to be returned. In fact, the US postal service handled 6.5 billion pieces of UAA
What is data integrity and how can you maintain it?
While surveying 2,190 global senior executives, only 35% claimed that they trust their organization’s data and analytics. As data usage surges across various business functions,
Address standardization guide: What, why, and how?
Inaccurate and incomplete address data can cause your mail deliveries to be returned. In fact, the US postal service handled 6.5 billion pieces of UAA
What is data integrity and how can you maintain it?
While surveying 2,190 global senior executives, only 35% claimed that they trust their organization’s data and analytics. As data usage surges across various business functions,
Guide to data survivorship: How to build the golden record?
92% of organizations claim that their data sources are full of duplicate records. To make things worse, valuable information is present in every duplicate that