Entity Resolution Software
Build a 360-degree entity view using entity resolution software to help you decrease reputational, financial, corporate integrity, and compliance risks with advanced fuzzy matching algorithms.
Identify records that refer to the same entity within or across data sources. You can do this for deduplication and cleansing purposes, or to enrich and create golden records that absorb entity fragments across your business and create a unified entity profile.
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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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Post-Merger Customer Deduplication for Two Customer Databases Without Losing Data Integrity
Last Updated on July 1, 2026 When two companies merge, their customer databases merge in name only. The same customer often exists under different account
Data Deduplication API vs Batch Deduplication: When to Use Each
Last Updated on June 30, 2026 The right choice between a deduplication API and batch deduplication comes down to when deduplication needs to happen. If
Post-Merger Customer Deduplication for Two Customer Databases Without Losing Data Integrity
Last Updated on July 1, 2026 When two companies merge, their customer databases merge in name only. The same customer often exists under different account
Data Deduplication API vs Batch Deduplication: When to Use Each
Last Updated on June 30, 2026 The right choice between a deduplication API and batch deduplication comes down to when deduplication needs to happen. If
Best Financial Data Quality Software: Features, Pricing, and Use Cases (2026)
Last Updated on June 2, 2026 In 2025, over a quarter of organizations reported losing more than $5 million annually from poor data quality, according