Data Matching Software for Accurate,
Unified, and Duplicate-Free Data

Data matching is the process of identifying and linking records that refer to the same entity across multiple datasets — even when the information isn’t identical. Match Data Pro’s data matching software makes this process fast, accurate, and fully configurable. It combines fuzzy matching and exact matching techniques to uncover duplicates, align related records, and unify data from different sources with exceptional precision.

Traditional matching tools struggle when names are misspelled, formats vary, or values are incomplete. Match Data Pro solves that with AI-ready fuzzy logic, configurable thresholds, and customizable matching definitions. Whether you’re merging CRM exports, integrating databases, or reconciling contact lists, the platform automatically detects near-matches using proven algorithms like Jaro-Winkler and similarity scoring.

Fuzzy Matching Config
MDP Fuzzy Matching Mapping
MDP Fuzzy Matching Defintions and Criteria Points3
MDP Fuzzy Matching Results Criteria
MDP Fuzzy Matching Results System Columns

 

 

Key Benefits

✅ Fuzzy + Exact Matching in One Tool
Detect duplicates and near-matches automatically using configurable thresholds and similarity scoring.

✅ Built-In Profiling and Cleansing
Standardize data formats and fix inconsistencies before matching for better accuracy.

✅ Enterprise-Ready Performance and Control
Process millions of records per run, preview results, and maintain full audit transparency.

Each project begins with a built-in data profiling step that reveals inconsistencies before matching starts. The result is a unified, duplicate-free dataset that improves analytics, marketing segmentation, and reporting. Match Data Pro supports cloud and on-premise deployments, providing full control, speed, and transparency in every match process.

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Reviews & Product Details

En G2.com

“Complex Fuzzy Data Matching Resolved”
Carlos B.

Director de Tecnología para Mercado Medio (51-1000 empleados)

El proceso paso a paso que guía al usuario a través del proceso de emparejamiento. El proceso sigue un patrón lógico para que el resultado final sea correcto. El emparejamiento de datos difusos es complejo y presenta múltiples permutaciones, pero Match Data Pro ha podido adaptarse a la complejidad de mis conjuntos de datos. Al ser un producto SaaS y local, dispongo de opciones según el usuario y el conjunto de datos. El equipo fue muy servicial durante la incorporación y la formación.

Emparejamiento de múltiples conjuntos de datos de manera oportuna y confiable.

What is data matching?

Data matching is the process of identifying and linking records that refer to the same person, company, or entity across one or more datasets. Match Data Pro’s data matching software uses both exact and fuzzy matching to find duplicates, even when fields contain misspellings or incomplete information.

How does fuzzy matching improve data accuracy?

Fuzzy matching goes beyond exact comparisons by analyzing similarity scores between strings. This helps detect near-duplicates such as “Jon Smith” and “John Smyth.” Match Data Pro’s fuzzy matching engine automatically assigns similarity scores and merges records that meet your threshold, improving accuracy across large datasets.

Why is data matching important?

Clean, consistent data leads to better decisions, accurate reports, and efficient marketing. Data matching ensures your business isn’t relying on duplicate or outdated records. With Match Data Pro, you can profile, cleanse, and match data automatically, maintaining a single trusted source of truth.

Is data matching secure with Match Data Pro?

Absolutely. Match Data Pro uses encryption, role-based access control, and full audit logging to protect your data through every stage of the matching process. Whether you use the cloud version or on-premise deployment, your data remains fully secure and compliant.

Can I customize my match rules?

Yes. Match Data Pro lets you build custom match definitions using exact, partial, and fuzzy criteria. You control thresholds, column weights, and rule combinations — so your matching behaves exactly how your organization needs it to.