Resources
Blogs
ETL vs. Data Preparation – What’s Right for Your Business
Last Updated on December 19, 2025 What if the very process you rely on to manage your data is holding your business back? Extracting
How You Can Leverage Your Data As A Competitive Advantage?
Last Updated on December 19, 2025 Most of the well-experienced business leaders in the current era totally comprehend the importance of the data as
Preparation of ‘The Data’ – Why Do I Need It and Why Now
Last Updated on January 9, 2026 The world you live in today is not the same world you lived in a few years back.
Undeliverable Mail: Sometimes It’s Not Canada Post’s Fault
Last Updated on January 9, 2026 Consider this, just because your business thinks your addresses are valid – doesn’t mean your mail is deliverable.
Data Cleansing and Quality of Record Linkage
Last Updated on January 9, 2026 Record linkage is a method used to link the data records to the same entities, such as customers.
Data Matching Applications: Complete Guide for 2026
Last Updated on April 14, 2026 Most organizations are working with the same customer in three different databases and don’t know it. Data matching
THE IMPACT OF DATA MATCHING ON THE WORLD OF FINANCE
Last Updated on February 4, 2026 In today’s fast-paced technological environment, the success of every business relies on a data-driven model. However, achieving this
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
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
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
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
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,
ZIP plus 4 plus 2 equals ZIP plus 6
Last Updated on April 21, 2026 Most people know their five-digit ZIP Code. A fair number know about ZIP+4. ZIP+6 catches almost everyone off
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
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
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.
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,
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
The Importance of a Data Quality API
Last Updated on April 27, 2026 Most data quality problems do not start in your database. They start in the forms people fill out,
The Complete Guide to Address Verification and Why You Need It
Last Updated on April 30, 2026 In Fiscal Year 2024, nearly 2 billion pieces of First-Class Mail were marked undeliverable as addressed by the