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The Ultimate Guide to Data Matching and Merging

ultimate guide to data matching and merging

The Ultimate Guide to Data Matching and Merging in 2025 Matching and merging data is at the heart of every data-driven process — from deduplicating CRMs to unifying multiple enterprise databases into a single view. The challenge isn’t just comparing names or IDs; it’s handling multiple data sources with inconsistent structures, deciding how records should […]

What Is Data Matching? A Simple Guide with Examples

MDP Data Matching

What Is Data Matching?A Simple Guide with Examples Modern businesses collect data from everywhere—CRMs, websites, billing systems, marketing tools, spreadsheets, SaaS platforms, and even handwritten forms. The problem is, these data sources rarely agree. One customer appears five times under slightly different names. Product codes don’t line up across systems. Emails are missing. Postal codes […]

2026 Top 10 Questions for Better Data Matching

2025 top 10 questions for data matching

2026 Top Questions for Better Data Matching What is a data match? A data match occurs when two or more records from different sources are identified as representing the same entity—such as a customer, company, or address. Matching helps organizations link related records even when their data entries are inconsistent. For example, “Jon Smith” in […]

How to Achieve Accurate Senzing Entity Resolution in 2026

Senzing Entity Resolution

How to Achieve Accuracy with Senzing Entity Resolution in 2026 Why Accuracy Matters in Senzing Entity Resolution Entity resolution is no longer optional. As organizations combine data from CRMs, ERPs, marketing platforms, and external sources, identity confusion becomes unavoidable. Senzing Entity Resolution is designed to solve this problem by identifying and linking real-world entities across […]

2026 Guide: Why AI Data Matching Fails and How to Fix It

MDP AI Data Matching

2026 Guide: Why AI Data Matching Failsand How to Fix It Artificial intelligence is changing the way we manage data—but when it comes to large-scale data matching, many organizations are discovering a painful truth: AI alone isn’t enough. Too often we see teams upload millions of records into a large language model (LLM) and hope […]

Complete Guide to Fuzzy Matching Donor Lists for Non-Profits

Complete Guide to Fuzzy Matching Donor Lists for Non-Profits When you run multiple fundraising events every year—galas, auctions, online drives—your donor data can quickly get messy.The same supporter might appear as Jonathan Smith in an event sign-in sheet, Jon S. in an online donation form, and J. Smith in a newsletter signup. If your team […]

AI Data Cleansing for Businesses: Faster, Smarter, Better

ai data cleansing

AI Data Cleansing for Businesses: Faster, Smarter, Better Why Clean Data Is the Foundation of AI Success Bad data is expensive. Every duplicate record inflates costs. Every formatting inconsistency slows down matching. And every placeholder entry reduces confidence in your reports. When businesses try to scale analytics or adopt AI, these issues only get worse. […]

Beyond FuzzyWuzzy: A Better Way to Match and Clean Data

Fuzzy Python Fuzzy Wuzzy RapidFuzz

Beyond FuzzyWuzzy: A Better Way to Match and Clean Data The Hidden Pain of String Matching On the surface, matching strings looks simple. You take two names, run a string similarity check, and get a score that tells you if they’re the same. For that reason, many teams start with open-source Python libraries like FuzzyWuzzy […]

How to Eliminate Duplicate Voter Records with Match Data Pro

MDP Voter Registration Fuzzy Matching

How to Eliminate Duplicate Voter Records with Match Data Pro Accurate voter registration data is essential for organizations managing elections, membership programs, or political outreach. Outdated addresses, duplicate records, and incomplete contact details can lead to costly inefficiencies and errors in communication. Match Data Pro (MDP) is the AI-ready data quality platform that ensures your […]

How to Make Your Business AI-Ready

AI-Ready Data for Digital Transformation MDP

How to Make Your Business AI-Ready in 2025: Data Cleansing, Profiling & Matching Becoming “AI-ready” isn’t just about installing machine learning models. The quality of your data is the foundation. Without that, your AI will fail or deliver inconsistent results. In this 2025 guide, we’ll walk you through how to profile your data, use AI-driven […]