Most organizations are working with the same customer in three different databases and don’t know it. Data matching applications fix that. Poor data quality costs
In today’s fast-paced technological environment, the success of every business relies on a data-driven model. However, achieving this is not always easy, as organizations need
What is Record Linkage? The process of collecting all data associated with a single person that is scattered across multiple datasets and bringing it together
Data matching plays an important role in helping marketing managers to devise marketing campaigns. With the advent of modern data matching tools, market research has
Quick Summary Organizations lose 5% of revenue to fraud annually—$5.38 trillion globally [ACFE, 2024]. Companies using data matching technology reduce fraud losses by 67% by
Here are the customer retention and attrition statistics that should be shaping your strategy right now: Customer churn costs U.S. businesses $136 billion every year.
In enterprise data environments, matching accuracy doesn’t begin with algorithms. It begins with clean, well-structured input data. Before fuzzy matching, probabilistic scoring, or entity resolution can work effectively, data
ZIP+4 lookup is the process of appending the correct four-digit add-on to a five-digit ZIP code to identify a delivery segment (a block, building, or
Most conversations about data breaches focus on what happens after an attacker gets in: stolen credentials, ransomware, patching failures. That’s the right conversation to have — but it’s only half the
Most organizations assume their data is good enough for AI. It usually isn’t. A 2024 study by Precisely and Drexel University’s LeBow College of Business
Most data quality problems do not start in your database. They start in the forms people fill out, the CRM records sales reps create under
In Fiscal Year 2024, nearly 2 billion pieces of First-Class Mail were marked undeliverable as addressed by the USPS. That’s mail that was printed, stuffed,
