Comparison Lists: How to Confidently Compare Two Lists and Find What Matters
We’ve all had comparison lists that we’ve had to process. It sounds simple, right? But anyone who’s done it at scale—across systems, exports, or even slightly inconsistent formats—knows how tricky it can be. Whether you’re comparing CRM exports, email lists, product inventories, or event registrations, the key is this: do it in a way that’s […]
How to Match Outlook 365 Contacts to CRM Records
Why Match Outlook 365 Contacts to CRM Records? Your Outlook 365 contacts contain valuable touchpoints, communication history, and sometimes more up-to-date information than your CRM. Matching these ensures: Unified customer profiles Better sales and support tracking Clean, deduplicated CRM data Enhanced marketing segmentation Matching Outlook 365 contacts to your CRM records can be challenging without […]
Fuzzy Matching: What, Why, and How It Powers Better Business Decisions
Fuzzy Matching: What, Why, and How It Powers Better Business Decisions In today’s data-driven world, matching records accurately is more than just a technical challenge—it’s a business necessity. Whether you’re consolidating CRM systems, cleansing marketing databases, or linking customer records across departments, exact matches won’t always cut it. That’s where fuzzy matching comes in. Table […]
What Is a Zip Code Extension? Why the Last 4 Digits Matter
What Is a Zip Code Extension? Why the Last 4 Digits Matter A data-driven look at ZIP+4, its impact on address quality, and how to use it in modern data matching When working with address data—especially in direct mail, billing, or customer record matching—you’ve probably seen ZIP codes written as “12345-6789.” That extra four-digit suffix […]
Fuzzy Matching 101: A Complete Guide for 2025
Fuzzy Matching 101: A Complete Guide for 2025 Everything you need to know about resolving duplicate and inconsistent records in your data with Fuzzy Matching What Is Fuzzy Matching? Fuzzy matching is the process of comparing two pieces of data—such as names, addresses, or company info—and determining how similar they are, even if they’re not […]
Top 5 Fuzzy Matching Tools for 2025
Top 5 Fuzzy Matching Tools for 2025 Find the best software to match, link, and deduplicate messy data Fuzzy matching has become essential for organizations that need to clean data, remove duplicates, or link records across systems. Whether you’re working in Excel or managing millions of records in a data warehouse, the right tool can […]
Cut Direct Mailing Costs with Address Normalization and Deduplication
Cut Direct Mailing Costs with Address Normalization and Deduplication Direct mailing remains one of the most effective marketing strategies — but it’s also one of the most expensive. Postage, printing, and fulfillment costs quickly add up, especially when duplicate addresses bloat your mailing list. Inaccurate or messy address data leads to wasted resources and […]
Fuzzy Matching Millions of Records? Here’s What Actually Works
Fuzzy matching is essential in today’s data-driven world—especially when you’re dealing with messy, inconsistent, or duplicated records. But what happens when you’re not matching a few thousand records, but millions? At Match Data Pro, we’ve designed our platform to perform fuzzy matching at scale—handling tens of millions of records across CRM systems, spreadsheets, databases, and […]
What Are the Minimum Requirements for Superior Data Quality?
What Are the Minimum Requirements for Superior Data Quality? Data quality is a term that gets thrown around a lot in conversations about analytics, business intelligence, system upgrades, and digital transformation. But what does it really mean to have “good” data—and what are the minimum requirements to ensure data quality is strong enough to support […]
Optimize Duplicate and Fragmented Relational Data for Better Insights
Optimize Duplicate and Fragmented Relational Data for Better Insights Here’s a pretty typical scenario that frustrates users, wastes time, and undermines your organization’s goals: a customer—or maybe a staff member—interacts with your business using slightly different information each time, and your systems treat each interaction as brand new. The result? Duplicate records, fragmented views, and […]