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Importance of Data Cleansing in the Process of Record Linkage & Entity Resolution
Last Updated on February 4, 2026 What is Record Linkage? The process of collecting all data associated with a single person that is scattered across
The impact of poor data matching on Marketing Campaigns
Last Updated on February 24, 2026 Data matching plays an important role in helping marketing managers to devise marketing campaigns. With the advent of modern
The Role of Data Matching in Fraud Prevention
Last Updated on February 27, 2026 Quick Summary Organizations lose 5% of revenue to fraud annually—$5.38 trillion globally [ACFE, 2024]. Companies using data matching technology
Customer Retention vs. Customer Attrition: How Clean Data Tips the Balance
Last Updated on March 5, 2026 Here are the customer retention and attrition statistics that should be shaping your strategy right now: Customer churn costs
Pattern Builder in DataMatch Enterprise: Data Parsing & Standardization for Better Matching
Last Updated on March 6, 2026 In enterprise data environments, matching accuracy doesn’t begin with algorithms. It begins with clean, well-structured input data. Before fuzzy matching, probabilistic
ZIP plus 4 plus 2 equals ZIP plus 6
Last Updated on March 18, 2026 Most people know their five-digit ZIP Code. A fair number know about ZIP+4. ZIP+6 catches almost everyone off guard,
How Poor Data Quality Increases Data Breach Risk And How to Fix It
Last Updated on March 17, 2026 Most conversations about data breaches focus on what happens after an attacker gets in: stolen credentials, ransomware, patching failures. That’s the
What AI-Ready Data Actually Looks Like (and Why Most Enterprise Databases Aren’t There Yet)
Last Updated on March 25, 2026 Most organizations assume their data is good enough for AI. It usually isn’t. A 2024 study by Precisely and
Marketing Analytics Made Easier
Last Updated on April 25, 2022 As a marketing analyst, you’re expected to know the ins, outs and metrics of your company’s marketing efforts. The