+
+

Related Products

  • D&B Connect
    189 Ratings
    Visit Website
  • DataBuck
    6 Ratings
    Visit Website
  • SCIKIQ
    14 Ratings
    Visit Website
  • TIMi
    68 Ratings
    Visit Website
  • DataHub
    10 Ratings
    Visit Website
  • Okyline
    2 Ratings
    Visit Website
  • Plauti
    123 Ratings
    Visit Website
  • Semarchy xDM
    64 Ratings
    Visit Website
  • Code-Cube.io
    7 Ratings
    Visit Website
  • AgeChecker.Net
    3 Ratings
    Visit Website

About

Match Data Pro is an intelligent data quality management tool designed to unify, cleanse, profile, match, deduplicate, and merge records from multiple files, databases, and systems with speed and precision. It provides advanced AI-ready fuzzy matching and configurable rule-based logic that detects duplicates and inconsistencies across large datasets, helping you fix errors, standardize formats, and create reliable golden records without coding. It supports comprehensive data profiling with key metrics to uncover quality issues before processing, powerful data cleansing tools to normalize and standardize information, and address verification capabilities to improve accuracy. Match Data Pro includes Senzing AI entity resolution and customizable matching algorithms that handle slight variations in data, high-performance processing that scales to millions of records, and project job automation with scheduling, reusable rules, and API integrations.

About

NetOwl NameMatcher, the winner of the MITRE Multicultural Name Matching Challenge, offers the most accurate, fast, and scalable name matching available. Using a revolutionary machine learning-based approach, NetOwl addresses complex fuzzy name matching challenges. Traditional name matching approaches, such as Soundex, edit distance, and rule-based methods, suffer from both precision (false positives) and recall (false negative) problems in addressing the variety of fuzzy name matching challenges discussed above. NetOwl applies an empirically driven, machine learning-based probabilistic approach to name matching challenges. It derives intelligent, probabilistic name matching rules automatically from large-scale, real-world, multi-ethnicity name variant data. NetOwl utilizes different matching models optimized for each of the entity types (e.g., person, organization, place) In addition, NetOwl performs automatic name ethnicity detection as well.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Data professionals, analysts, and business teams who need to clean, match, and unify large and complex datasets quickly and accurately

Audience

Companies and enterprises looking for a rule-based and machine-learning based name matching and detection solution

Support

Phone Support Supported
24/7 Live Support Supported
Online Supported

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

$27 per month
Free Version Not Supported
Free Trial Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Supported

Company Information

Match Data Pro
Founded: 2023
United States
matchdatapro.com

Company Information

NetOwl
Founded: 1996
United States
www.netowl.com/name-matching-software

Alternatives

Alternatives

Lead to Account Matcher

Lead to Account Matcher

Eustace Consulting
DataMatch

DataMatch

Data Ladder

Categories

Data Cleansing Supported
Data Matching Supported
Data Quality Supported

Categories

Data Quality Supported

Integrations

ArcGIS Not Supported
Dropbox Supported
Dropbox Paper Supported
Elasticsearch Not Supported
Google Chrome Supported
Google Drive Supported
Google Maps Not Supported
IBM Cloud Not Supported
JSON Supported
Kibana Not Supported
MarkLogic Not Supported
Microsoft OneDrive Supported
Microsoft Teams Supported
Palantir Apollo Not Supported
SQL Supported
Snowflake Supported
SolrCommerce Not Supported
Tableau Not Supported
Zip Supported

Integrations

ArcGIS Supported
Dropbox Not Supported
Dropbox Paper Not Supported
Elasticsearch Supported
Google Chrome Not Supported
Google Drive Not Supported
Google Maps Supported
IBM Cloud Supported
JSON Not Supported
Kibana Supported
MarkLogic Supported
Microsoft OneDrive Not Supported
Microsoft Teams Not Supported
Palantir Apollo Supported
SQL Not Supported
Snowflake Not Supported
SolrCommerce Supported
Tableau Supported
Zip Not Supported
Claim Match Data Pro and update features and information
Claim Match Data Pro and update features and information
Claim NetOwl NameMatcher and update features and information
Claim NetOwl NameMatcher and update features and information