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Description
Establish entity resolution workflows in just minutes instead of taking months to finalize. Set up sophisticated matching techniques tailored to enhance data accuracy according to your specific business requirements. Safeguard your data and limit its transfer by accessing records at their source. AWS Entity Resolution enables you to identify and connect related records without the necessity of creating custom solutions. Leverage adaptable, customizable machine learning (ML) and rule-based methods to fine-tune record matching based on your business objectives. Eliminate duplicate records for more effective information analysis, prepare your data for artificial intelligence (AI) model training, and boost your overall business performance. By utilizing unified insights, you can deliver more pertinent experiences across your advertising and marketing efforts, customer support interactions, loyalty programs, and ecommerce activities. Additionally, link SKUs, UPCs, or proprietary product identifiers into a cohesive product record to enhance tracking across various stores and supply chains, fostering a more integrated approach to inventory management. Ultimately, this streamlined process not only enhances data integrity but also drives strategic decision-making across your organization.
Description
NetOwl EntityMatcher offers a reliable, swift, and expandable solution for identity resolution, taking into account not just the similarities in entity names but also critical attributes like date of birth, place of birth, address, and nationality. Additionally, it allows for identity resolution using social network details, including information about an individual's employer, spouse, or associates. Utilizing its proprietary search and indexing engine, NetOwl can combine evidence from various entity record attributes, providing a highly effective, scalable, and user-friendly approach to matching. Users can define application-specific business rules that dictate which combinations of record attributes need to be matched and establish the importance of each attribute. Furthermore, by incorporating our machine learning-driven multicultural and multilingual name matching solution, NetOwl NameMatcher, the system enhances the sophistication of name matching across different types of entities. This integration ensures that identity resolution maintains a high level of accuracy and adaptability in diverse scenarios.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
ArcGIS
Elasticsearch
Google Maps
IBM Cloud
Kibana
MarkLogic
Palantir Apollo
SolrCommerce
Tableau
Integrations
Amazon Web Services (AWS)
ArcGIS
Elasticsearch
Google Maps
IBM Cloud
Kibana
MarkLogic
Palantir Apollo
SolrCommerce
Tableau
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
Amazon
Country
United States
Website
aws.amazon.com/es/entity-resolution/
Vendor Details
Company Name
NetOwl
Founded
1996
Country
United States
Website
www.netowl.com/identity-resolution