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Average Ratings 0 Ratings
Description
NetOwl NameMatcher, recognized for its excellence in the MITRE Multicultural Name Matching Challenge, delivers unparalleled accuracy, speed, and scalability in name matching solutions. By employing an innovative machine learning framework, NetOwl effectively tackles the intricate challenges of fuzzy name matching. Conventional methods like Soundex, edit distance, and rule-based systems often face significant issues with precision, leading to false positives, and recall, resulting in false negatives, when confronting the diverse fuzzy name matching scenarios outlined previously. In contrast, NetOwl leverages a data-driven, machine learning-based probabilistic strategy to address these name matching difficulties. It automatically generates sophisticated, probabilistic name matching rules from extensive, real-world multi-ethnic name variant datasets. Furthermore, NetOwl employs distinct matching models tailored to various entity types, such as individuals, organizations, and locations. To add to its capabilities, NetOwl also integrates automatic detection of name ethnicity, enhancing its adaptability to the complexities of multicultural name matching. This comprehensive approach ensures a higher level of accuracy and reliability in diverse applications.
Description
ONESOURCE Denied Party Screening provides a secure and automated solution for evaluating customers, suppliers, and partners against over 750 international restricted-party and sanctions lists, integrating seamlessly with import/export management systems to prevent transactions when a match is detected. This system ensures ongoing compliance through daily updates of worldwide lists and a meticulous content-validation process that involves collaboration with government entities. Users can customize the screening process by selecting pertinent lists and setting specific match-score thresholds that align with their individual risk assessments. The advanced matching algorithms utilize more than 30 data elements, including name, date of birth, location, and citizenship, effectively reducing the incidence of false positives. Furthermore, the solution strengthens transaction security by assessing supply-chain participants based on the best practices recommended by the U.S. State and Commerce Departments, reveals intricate ownership structures through Dow Jones sanctions-ownership research, and expands due diligence efforts to include Politically Exposed Persons (PEPs), thereby enhancing overall risk management strategies. Such comprehensive functionality ensures that organizations can operate with greater confidence in their compliance efforts.
API Access
Has API
API Access
Has API
Integrations
ArcGIS
Elasticsearch
Google Maps
IBM Cloud
Kibana
MarkLogic
Oracle Cloud Infrastructure
Palantir Apollo
SAP Cloud Platform
Salesforce
Integrations
ArcGIS
Elasticsearch
Google Maps
IBM Cloud
Kibana
MarkLogic
Oracle Cloud Infrastructure
Palantir Apollo
SAP Cloud Platform
Salesforce
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
NetOwl
Founded
1996
Country
United States
Website
www.netowl.com/name-matching-software
Vendor Details
Company Name
Thomson Reuters
Founded
2008
Country
Canada
Website
mena.thomsonreuters.com/en/products-services/global-trade-management/onesource-denied-party-screening.html
Product Features
Data Quality
Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management