Tamr Data Enrichment is an AI-driven software solution designed to enhance business data quality by matching, linking, and updating internal records with external data sources. It leverages machine learning for referential matching, uses a global company reference database, and provides unique identifiers to ensure accurate entity resolution and data enrichment.

Key Features

ML-driven referential matching Identifies complex matches and relationships using machine learning.

• Detects connections not visible without external data
• Improves match accuracy with AI techniques

Reference database of global companies Access to a comprehensive database for matching and enrichment.

• Over 400 million company records
• Enables assessment of match rates with third-party providers

Unique Tamr ID generation Links internal records to third-party sources.

• Assigns unique identifiers for precise matching
• Facilitates integration across data sources

Advanced match decisions Uses AI to compare all attributes for the best match.

• Ensures high data accuracy
• Reduces manual intervention in data matching

Data partnerships and integration Connects to a growing ecosystem of data providers.

• Enriches data with diverse external sources
• Scalable infrastructure for data engineering

Single user interface Configures and manages enrichment processes easily.

• User-friendly for attribute selection and data management
• Centralized control of enrichment workflows

Automatic data refresh Keeps data up-to-date with provider updates.

• Scheduled, UI-based data refresh
• Appends latest data automatically

Benefits

Improved data quality and trust Delivers more accurate, unified, and up-to-date business records.

• Reduces errors and duplicates
• Supports better business decisions

Operational efficiency Automates complex data matching and enrichment tasks.

• Saves time and resources
• Minimizes manual data processing