Senzing Entity Resolution: How It Works, When to Use It & How Match Data Pro Integrates It
Senzing entity resolution uses graph-based probabilistic matching to link records across siloed systems without a shared ID. Here’s how it works and when to use it.
Data Match Merging: Survivorship Rules, Conflict Resolution & Golden Records
Data match merging combines fuzzy-matched records into a single authoritative golden record using survivorship rules and field-level conflict resolution. Learn the full pipeline.
First Matching Condition Scoring Rules | Match Data Pro
First matching condition scoring rules convert revenue ranges into band scores for deterministic fuzzy matching. Worked examples. Free trial, no contract.
Fuzzy Name Matching Software: Algorithms | Match Data Pro
Compare fuzzy name matching software. Algorithms, use cases and thresholds for linking records despite name misspellings and variants. Free trial, no contract.
Address Data Cleansing Software & Guide | Match Data Pro
Address data cleansing parses, validates, and deduplicates postal records at scale. CASS-certified, fuzzy matching, 6-stage pipeline. Free trial, no contract.
ZIP+4 Code Extension & CASS Verification | Match Data Pro
The ZIP+4 code extension is a 4-digit USPS suffix pinpointing delivery segments. Append and verify ZIP+4 with CASS-certified matching. Free trial, no contract.
What Is an MCP Server for Data Quality?
An MCP server exposes software tools to AI agents via a standardised protocol. For data quality, it means any AI assistant can drive deduplication, fuzzy matching, cleansing and entity resolution — without custom integration code.
How AI Agents Can Match Millions of Records Using MDP’s MCP Server
A step-by-step technical walkthrough of how an AI agent — Claude, ChatGPT, or a custom MCP client — drives Match Data Pro’s fuzzy matching engine to deduplicate, cleanse, and resolve millions of records without writing a single line of integration code.
Why LLMs Couldn’t Fuzzy Match at Scale — Until Now
LLMs are powerful orchestrators but poor matchers — they hallucinate similarity, lack fuzzy algorithms, and can’t hold millions of records in context. Here’s the engineering reality, and how MDP’s MCP Server solves it.
Data Matching Software: 2026 Buyer’s Guide | Match Data Pro
Compare the best data matching software in 2026. Fuzzy matching, deduplication & entity resolution tools reviewed side-by-side. Free trial, no contract.