Data Ladder
DataMatch Enterprise (DME) by Data Ladder is an entity resolution and data matching platform that identifies, links, and consolidates records describing the same person, business, or entity across systems. Teams use it to profile, standardize, match, deduplicate, and merge data into a trusted golden record for customer 360, KYC, fraud, and master data management.
DataMatch Enterprise pairs a visual, code-free interface for business teams with a REST API for developers, so the same matching engine works inside applications, pipelines, and AI agent workflows. New capabilities include entity graphs for visualizing linked records, live search for real-time matching, and Docker deployment alongside on-premises and cloud options.
Benchmarked across 15 studies, DataMatch Enterprise finds 5 to 12% more matches with fewer false positives, up to 99% accuracy, and matched 10 million records in 41 minutes.
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NetOwl NameMatcher
NetOwl NameMatcher, the winner of the MITRE Multicultural Name Matching Challenge, offers the most accurate, fast, and scalable name matching available. Using a revolutionary machine learning-based approach, NetOwl addresses complex fuzzy name matching challenges. Traditional name matching approaches, such as Soundex, edit distance, and rule-based methods, suffer from both precision (false positives) and recall (false negative) problems in addressing the variety of fuzzy name matching challenges discussed above. NetOwl applies an empirically driven, machine learning-based probabilistic approach to name matching challenges. It derives intelligent, probabilistic name matching rules automatically from large-scale, real-world, multi-ethnicity name variant data. NetOwl utilizes different matching models optimized for each of the entity types (e.g., person, organization, place) In addition, NetOwl performs automatic name ethnicity detection as well.
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Eulerian
See how to clearly optimize the performance of each $ spend in your marketing campaigns through Identity resolution and a full digital marketing optimization solution, from activation to attribution. Add more value to your business. Improve your real time performance marketing by leveraging attribution and activation in the same workspace. Seamless workflows within our integrated toolset will increase your insight to activation timeframe. No more identity issues across your customer journey. We match all your data at the user level: from digital campaign interactions, multi-device journeys, or in-store purchases, we get it! Leverage improved accuracy around your audience targeting to activate profitable marketing campaigns with your media platforms. Save-time in your activation orchestration thanks to automation. Choose the right media platform in which to invest.
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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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