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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+4 Lookup and Validation: How to Add, Verify, and Clean ZIP+4 Codes
Last Updated on May 25, 2026 ZIP+4 lookup is the process of appending the correct four-digit add-on to a five-digit ZIP code to identify a
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
Cleaning Big Data the Easy Way
Last Updated on October 24, 2022 Cleaning big data usually invokes big stress levels. With the advancements we’ve seen in technology over the years, many
Data Preparation for Analytics
Last Updated on September 13, 2022 As users seek to go beyond canned reports and spreadsheets to employ sophisticated visual analytics to drive decisions and