Tamr applies different AI/ML models—alongside agentic curation and select rules—to clean, match, and maintain data across channels and touchpoints. The result is golden records that represent the best, most accurate version of consumers, subscribers, or accounts across systems and sources. Tamr also surfaces cross-entity relationships among these entities using enterprise knowledge graphs. The relationships reveal valuable insights that high-tech companies and telecommunications providers can use to personalize communications, grow revenue, and improve operations.

By connecting customer and subscriber data into a single, holistic source of truth across subscriptions, products, devices, services, households, and more, high-tech and telecom organizations can overcome challenges that lead to fragmented customer experiences. With complete, 360-degree views in hand, they can provide seamless customer service and digital personalization; deliver bills and other communications that reflect the full picture of services, subscriptions, and products purchased; and quickly spot and manage churn signals.

Tamr supports AI initiatives by connecting customer and subscriber data across disconnected systems and sources to create golden records. Armed with these clean, trusted golden records, high-tech companies and telecom providers can confidently fuel their AI systems and AI agents with the best version of their data, ensuring that AI-powered automation and insights are accurate and trustworthy.

Tamr can master a variety of technology and telecommunications data, including business and consumer customers; users, subscribers, and accounts; products and devices; subscriptions and services; and channel partners. Tamr can also connect mastered data into enterprise knowledge graphs that visualize the relationships between entities and surface insights that would otherwise remain hidden deep within the data.

Tamr uses enterprise knowledge graphs to map cross-entity and hierarchical relationships between customers, subscribers, and accounts across data silos. By highlighting these hidden connections, high-tech and telecom organizations can identify household relationships, parent-child corporate relationships, employee-employer relationships, multi-product ownership, churn signals, and network demand.

Using Tamr’s AI-native MDM solution, technology and telecom companies can match and cluster data at different levels based on criteria defined by the business. If duplicate records exist, Tamr applies advanced AI/ML models, agentic data curation, and select rules to unify them and assign a unique identifier. Tamr also provides a real-time “search-before-create” capability that enables organizations to identify duplicate records while the data is still in motion, preserving data integrity by preventing duplicates at the point of entry.