NetOwl EntityMatcher Description
NetOwl EntityMatcher offers fast, accurate, and scalable identity resolution. It is based on similarities in entity names as well as other key attributes such address, date of birth, birthplace, nationality, and address. Social network information, such as spouse, associate, employer, and so forth, can also be used to determine identity. NetOwl can resolve identity based on any combination or attributes of entity records. It uses its proprietary search engine and indexing engine to combine evidence from multiple matching attributes in an intuitive, robust, scalable and intuitive manner. You can implement application-specific business rules by determining which combination of record attributes should match and assigning weights to each attribute. NetOwl uses NetOwl NameMatcher (a machine learning-based multilingual, multilingual name matching product), to facilitate sophisticated name matching of different entity types.
NetOwl EntityMatcher Alternatives
Kochava
Founded in 2011 as one of the first mobile measurement partners, Kochava now supports campaign measurement across any device, any channel, and any audience. Tap into multi-touch attribution, next-generation MMM, and always-on incremental measurement disciplines to achieve data-driven, privacy-durable growth strategies. Understand which omnichannel tactics boost customer acquisition and retention.
Key features include: omnichannel app attribution and analytics, cost and ROI measurement, deep linking, marketing data management and ETL support, ad fraud detection and prevention, and strategic services. The Kochava library of software development kits (SDKs) provide out-of-the-box measurement support across mobile, connected TV, web, and other connected devices. Built-in integrations enable clients to activate and measure campaigns with Google Ads, Meta, Apple Search Ads, X, Snap, Roku, LG Ads, Amazon Ads, NBCUniversal, TikTok for Business, Yahoo, and thousands of other ad networks, CTV platforms, and super publishers.
Embrace privacy-first measurement with support for Apple’s SKAdNetwork on iOS, Google’s Privacy Sandbox on Android, and a modern marketing mix modeling (MMM) platform that future-proofs your measurement.
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AWS Entity Resolution
Create entity resolution workflows within minutes, not months. Configure advanced matching to improve data accuracy according to your business needs. By reading records in their original location, you can protect your data and minimize the movement of it. AWS Entity Resolver helps you link and match related records without having to build custom solutions. Use flexible, configurable machine-learning (ML) and rules-based techniques to optimize matching records based on your needs. Duplicate related records for better information analysis, to prepare your data for AI model training and to improve your business outcomes. Applying unified insights to advertising and marketing campaigns as well as customer support cases and loyalty programs and ecommerce will help you deliver more relevant experiences. Connect SKUs or UPCs to a unified record of products for better tracking across stores and supply chain.
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NetOwl NameMatcher
NetOwl NameMatcher was the winner of the MITRE Multicultural Name Matching Challenge. It offers the fastest, most accurate, and scalable name match possible. NetOwl solves complex fuzzy name matching problems by using a machine learning-based approach. Traditional name matching methods such as Soundex edit distance and rule-based methods have problems with precision (false positivities) and recall (false negativities) when it comes to addressing the various fuzzy name matching challenges. NetOwl uses a machine learning-based probabilistic approach that is empirically driven to solve name matching problems. It automatically derives intelligent, probabilistic names matching rules from large-scale, real world, multi-ethnicity variant data. NetOwl uses different matching models that are optimized for each entity type (e.g., person or organization, place). NetOwl also performs automatic detection of name ethnicity.
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Senzing
Senzing® entity resolution API software provides the most advanced, affordable, and easy-to-use data matching and relationship detection capabilities available. With Senzing software, you can automatically resolve records about people, organizations and their relationships in real time as new data is received.
The highly accurate and complete views Senzing software delivers allow you to reduce costs and enable new revenue opportunities. Senzing provides a set of libraries that that can be deployed on premises or in the cloud, in a variety of ways, depending on your architecture and environment requirements. Data remains in your ecosystem and never flows to Senzing, Inc.
Minimal data preparation is required when and no tuning, training or entity resolution experts are needed. A free proof of concept can be completed in about six hours on AWS or bare metal. You can try the Senzing API on up to 100K records for free.
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Company Details
Company:
NetOwl
Year Founded:
1996
Headquarters:
United States
Website:
www.netowl.com/identity-resolution
Media
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Product Details
Platforms
SaaS
Type of Training
Documentation
In Person
Customer Support
Phone Support
Online
NetOwl EntityMatcher Features and Options
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