Amazon Web Services (AWS) has officially launched AWS Entity Resolution, an analytics service powered by machine learning (ML) that helps organizations improve data quality and gain deeper customer insights. The service enables companies to easily analyze, match, and link related records stored across various applications, channels, and data stores. With AWS Entity Resolution, businesses can better understand their data relationships, leading to improved operations, marketing campaigns, and financial investment decisions.
The service offers customizable workflows that utilize rule-based and ML techniques for joining consumer, business, and product information. Business analysts and developers can quickly enhance data fidelity using preconfigured workflows or customize them to suit their specific needs. The service can be used by a wide range of industries and is applicable to scenarios such as fraud prevention, customer profiling, and supply chain optimization.
Among the early customers and partners already using AWS Entity Resolution are ActionIQ, Amazon Ads, Best Western, LiveRamp, Merkle, TransUnion, and Unified ID 2.0. The service is available in various AWS regions, with more regions planned for the future.
Furthermore, AWS announced its intentions to add two entity resolution partner integrations with LiveRamp and TransUnion, as well as interoperability with the Unified ID 2.0 open source framework. These integrations will enable customers to more easily translate or enrich their records while also safeguarding sensitive information and reducing data movement.
AWS Entity Resolution simplifies the process of matching and linking records across multiple data sources, helping businesses unlock the true value of their data and drive better business outcomes.