Audience
Companies searching for a solution to providing an easy-to-configure, ML-powered data resolution service
About AWS Entity Resolution
Set up entity resolution workflows in minutes instead of months. Configure advanced matching techniques to help improve data accuracy based on your business needs. Protect your data and minimize its movement by reading records where they live. AWS Entity Resolution helps you match and link related records without the need to build custom solutions. Use flexible, configurable machine learning (ML) and rule-based techniques to optimize record matching based on your business needs. Deduplicate related records to better analyze information, prepare your data for artificial intelligence (AI) model training and improve your business outcomes. Deliver more relevant experiences by applying unified insights across advertising and marketing campaigns, customer support cases, loyalty programs, and ecommerce. Connect SKUs, UPCs, or proprietary product IDs into a unified product record to improve tracking across stores and supply chains.
Integrations
Company Information
Amazon
United States
aws.amazon.com/es/entity-resolution/
Videos and Screen Captures
Roq.ad
Some foundational IDs will soon disappear and other IDs will multiply. Roq.ad has prepared for this day. Maybe it’s time for a new partner in identity? Users want a personalized customer journey AND more privacy protection. Online identities were already fragmented. Companies want more insights. Can we have it both ways? The short answer is YES. Enlarge your current audience device pool with additional devices belonging to exactly those users in your target group. Create a seamless brand communication and holistic customer journey across all devices. Dig deeper into your Own Data with cross-device insights. The Roq.ad Private Identity Graph is specifically designed to fit your business needs. Roq.ad helps leading brands to improve digital advertising and digital analytics through the use of Cross-Device Technology. Roq.ad uses probabilistic modeling, analyzing anonymous data from multiple sources, website, mobile application or media campaign traffic.
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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 into common entities in real time as new data is received. The complete view of all records related to every person or organization, across all of your internal and external data sources, can help you reduce costs and enable new revenue opportunities. Companies use Senzing entity resolution API to provide highly accurate views of people, organizations, and their relationships. You can deploy the Senzing entity resolution API on premises or in cloud-native deployments. Data remains in your ecosystem and never flows to Senzing. A free proof of concept can be completed in one day on AWS or on BareMetal. Senzing makes human-intelligent decisions without any pre-training or pre-tuning.
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Data Ladder
Data Ladder is a data quality and cleansing company dedicated to helping you "get the most out of your data" through data matching, profiling, deduplication, and enrichment. We strive to keep things simple and understandable in our product offerings to give our customers the best solution and customer service at an excellent price. Our products are in use across the Fortune 500 and we are proud of our reputation of listening to our customers and rapidly improving our products. Our user-friendly, powerful software helps business users across industries manage data more effectively and drive their bottom line. Our data quality software suite, DataMatch Enterprise, was proven to find approximately 12% to 300% more matches than leading software companies IBM and SAS in 15 different studies. With over 10 years of R&D and counting, we are constantly improving our data quality software solutions. This ongoing dedication has led to more than 4000 installations worldwide.
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NetOwl EntityMatcher
NetOwl EntityMatcher provides accurate, fast, and scalable identity resolution based not only on similarities of the entity names but also other key entity attributes such as date of birth, place of birth, address, and nationality. Identity resolution can also be based on social network information such as employer, spouse, associate, etc. NetOwl performs identity resolution based on any combination of available entity record attributes by utilizing its unique proprietary search and indexing engine that allows combination of evidence from multiple matching attributes in a highly robust, scalable, and intuitive fashion. Application-specific business rules can be implemented by determining what combination of record attributes should be matched and what weights should be assigned to each attribute. NetOwl leverages our machine learning-based multicultural, multi-lingual name matching product, NetOwl NameMatcher, to enable sophisticated name matching of various entity types.
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Product Details
Platforms Supported
SaaS
Training
Documentation
Webinars
Videos
Support
Online