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.
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Match Data Pro
Match Data Pro is an intelligent data quality management tool designed to unify, cleanse, profile, match, deduplicate, and merge records from multiple files, databases, and systems with speed and precision. It provides advanced AI-ready fuzzy matching and configurable rule-based logic that detects duplicates and inconsistencies across large datasets, helping you fix errors, standardize formats, and create reliable golden records without coding. It supports comprehensive data profiling with key metrics to uncover quality issues before processing, powerful data cleansing tools to normalize and standardize information, and address verification capabilities to improve accuracy. Match Data Pro includes Senzing AI entity resolution and customizable matching algorithms that handle slight variations in data, high-performance processing that scales to millions of records, and project job automation with scheduling, reusable rules, and API integrations.
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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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Our market-leading, multidomain solution supports any master data domain, implementation style, and use case, in the cloud or on premises. Integrates best-in-class data integration, data quality, business process management, and data privacy. Tackle complex issues head-on with trusted views of business-critical master data. Automatically link master, transaction, and interaction data relationships across master data domains. Increase accuracy of data records with contact data verification, B2B, and B2C enrichment services. Update multiple master data records, dynamic data models, and collaborative workflows with one click. Reduce maintenance costs and speed deployment with AI-powered match tuning and rule recommendations. Increase productivity using search and pre-configured, highly granular charts and dashboards. Create high-quality data that helps you improve business outcomes with trusted, relevant information.
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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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Integrations
Company Information
Amazon
United States
aws.amazon.com/es/entity-resolution/
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Cloud
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