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Source-to-Target Mapping Best Practices for Accurate, Scalable Data Pipelines
Last Updated on January 21, 2026 Source- to-target mapping usually gets attention for about five minutes, right before a pipeline goes live. After that, it’s
Managing Nicknames, Abbreviations & Name Variants in Enterprise Entity Matching
Last Updated on January 13, 2026 A name might feel like the simplest identifier, but in enterprise datasets, it rarely is. In the US and
Linking Similar Records with Incomplete Data: Proven Approaches for High-Accuracy Entity Matching
Last Updated on January 13, 2026 If record linkage were as simple as matching names and emails, organizations wouldn’t be sitting on mountains of unleveraged
How Inaccurate Data Impacts Your Bottom Line
Last Updated on January 2, 2026 Most data problems don’t show up as dramatic failures. They appear as small problems or hide in plain sight.
Unifying Data Across Silos: Build a Single Source of Truth
Last Updated on January 2, 2026 Most companies don’t realize how much time they lose chasing basic facts. But research shows that decision-makers spend nearly 30% of their week (2.4 hours a day) searching
Implementing a Vendor Matching Engine: A Practical Guide for Data Teams
Last Updated on December 24, 2025 Choosing the right vendor matching software is only half the challenge. The real value comes from how well you
Buyer’s Guide: 10-Point Checklist for Evaluating Vendor Matching Software
Last Updated on November 24, 2025 A typical SMB[1] has an invoice duplication rate of 1.29%. That’s more than $12,000 in potential duplicate payments per
Vendor Matching Software Explained: Solving Duplicate Vendor Records at Scale
Last Updated on November 13, 2025 In a poll by CFO Daily News, 86% of accounts payable (AP) professionals admitted their Master Vendor File (MVF)
The Role of Data in Mergers and Acquisitions: Why Data Quality Drives Value and De-Risks Your Deal
Last Updated on November 24, 2025 Mergers and acquisitions (M&A) rarely fail because the lawyers got the paperwork wrong. But they many times do because