
Undeliverable Mail: Sometimes It’s Not Canada Post’s Fault
Consider this, just because your business thinks your addresses are valid – doesn’t mean your mail is deliverable. A supposedly valid address doesn’t 100% mean

Consider this, just because your business thinks your addresses are valid – doesn’t mean your mail is deliverable. A supposedly valid address doesn’t 100% mean

Record linkage is a method used to link the data records to the same entities, such as customers. Record linkage can be used to improve

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

Most people know their five-digit ZIP Code. A fair number know about ZIP+4. ZIP+6 catches almost everyone off guard, including direct mail professionals who have

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