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What is ONESOURCE Denied Party Screening?

ONESOURCE Denied Party Screening offers a robust and automated method for assessing customers, suppliers, and partners against over 750 international lists of restricted parties and sanctions, allowing for smooth integration with import/export management systems that block transactions upon detecting matches. This solution guarantees compliance by providing daily updates from global lists and a thorough content-validation procedure that works in conjunction with governmental organizations. Users have the flexibility to tailor the screening process by choosing relevant lists and establishing specific match-score thresholds that resonate with their unique risk evaluations. The sophisticated matching algorithms draw on more than 30 data elements, such as name, birthdate, location, and nationality, significantly minimizing the occurrence of false positives. Additionally, this solution strengthens transaction security by evaluating supply-chain participants according to best practices laid out by the U.S. State and Commerce Departments, uncovers complex ownership structures through detailed research from Dow Jones regarding sanctions, and broadens due diligence by incorporating assessments of Politically Exposed Persons (PEPs), which ultimately fortifies overall risk management strategies. With such extensive features, organizations can navigate their compliance initiatives with enhanced assurance and efficacy. This level of thoroughness not only safeguards against potential legal repercussions but also fosters trust with stakeholders involved in the transaction processes.

What is NetOwl NameMatcher?

NetOwl NameMatcher, celebrated for its superior performance in the MITRE Multicultural Name Matching Challenge, offers exceptional accuracy, rapid processing, and scalability in its name matching solutions. Utilizing a cutting-edge machine learning framework, NetOwl adeptly addresses the complex challenges associated with fuzzy name matching. Traditional techniques like Soundex, edit distance, and rule-based systems frequently struggle with precision, leading to an abundance of false positives, and recall issues that result in false negatives, particularly when faced with the varied fuzzy name matching scenarios mentioned earlier. In contrast, NetOwl adopts a data-driven, machine learning-based probabilistic approach to overcome these name matching challenges effectively. It autonomously develops advanced, probabilistic name matching rules from vast real-world datasets containing multi-ethnic name variants. Additionally, NetOwl implements specialized matching models designed for different entity types, including individuals, organizations, and geographical locations. To enhance its functionality, NetOwl incorporates automatic detection of name ethnicity, which significantly boosts its adaptability to the complexities inherent in multicultural name matching. This holistic strategy not only elevates accuracy but also ensures dependable performance across a wide array of applications. Consequently, organizations relying on precise name matching can greatly benefit from the innovative solutions provided by NetOwl.

Media

Media

Integrations Supported

ArcGIS
Elasticsearch
Google Maps
IBM Cloud
Kibana
MarkLogic
Oracle Cloud Infrastructure
Palantir Apollo
SAP Cloud Platform
Salesforce
SolrCommerce
Tableau
Thomson Reuters ONESOURCE

Integrations Supported

ArcGIS
Elasticsearch
Google Maps
IBM Cloud
Kibana
MarkLogic
Oracle Cloud Infrastructure
Palantir Apollo
SAP Cloud Platform
Salesforce
SolrCommerce
Tableau
Thomson Reuters ONESOURCE

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Thomson Reuters

Date Founded

2008

Company Location

Canada

Company Website

mena.thomsonreuters.com/en/products-services/global-trade-management/onesource-denied-party-screening.html

Company Facts

Organization Name

NetOwl

Date Founded

1996

Company Location

United States

Company Website

www.netowl.com/name-matching-software

Categories and Features

Categories and Features

Data Quality

Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management

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