Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
The DataMatch Enterprise™ solution is an intuitive data cleansing tool tailored to address issues related to the quality of customer and contact information. It utilizes a combination of unique and standard algorithms to detect variations that are phonetic, fuzzy, miskeyed, abbreviated, and specific to certain domains. Users can establish scalable configurations for various processes including deduplication, record linkage, data suppression, enhancement, extraction, and the standardization of both business and customer data. This functionality helps organizations create a unified Single Source of Truth, thereby enhancing the overall effectiveness of their data throughout the enterprise while ensuring that the integrity of the data is maintained. Ultimately, this solution empowers businesses to make more informed decisions based on accurate and reliable data.
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.
API Access
Has API
No
API Access
Has API
No
Integrations
ArcGIS
No
Bullhorn
Yes
Elasticsearch
No
Google Maps
No
Highrise
Yes
HubSpot Customer Platform
Yes
IBM Cloud
No
Kibana
No
Magento
Yes
Mailchimp
Yes
Integrations
ArcGIS
Yes
Bullhorn
No
Elasticsearch
Yes
Google Maps
Yes
Highrise
No
HubSpot Customer Platform
No
IBM Cloud
Yes
Kibana
Yes
Magento
No
Mailchimp
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
Data Ladder
Founded
2006
Country
United States
Website
dataladder.com
Vendor Details
Company Name
NetOwl
Founded
1996
Country
United States
Website
www.netowl.com/name-matching-software
Product Features
Address Verification
Address Validation
No
Autocomplete
No
Automatic Formatting
No
Data Cleansing
No
Data Discovery
No
Data Quality Control
No
Data Verification
No
Geographic Maps
No
Geolocation
No
Metadata Management
No
Reporting / Analytics
No
Search / Filter
No
Data Quality
Address Validation
No
Data Deduplication
Yes
Data Discovery
No
Data Profililng
No
Master Data Management
No
Match & Merge
Yes
Metadata Management
No
Product Features
Data Quality
Address Validation
No
Data Deduplication
No
Data Discovery
No
Data Profililng
No
Master Data Management
No
Match & Merge
No
Metadata Management
No