Trusted golden records—your best version of the truth.
Our entity resolution capabilities let you create a single source of truth for core data with flexible matching methods and dynamic survivorship strategies to create context-specific views.
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Robust match & survivorship —
accurate and flexible.
Variety of methods maximize coverage, minimize manual effort.
- Automated, ML-based match without the need to develop & manage rules
- Relevance-based match with weighted scoring of attributes
- Deterministic match rules with fuzzy and exact comparison logic
- Referential match to compare with proven sources of truth
Tools to get better matching results faster and easier.
- Match rule builder to create and curate match rules in a few clicks
- Match rule analyzer to ensure accuracy and performance
- Match rule proactive, back-end monitoring to alert admins of issues
- External match for matching external data such as marketing lists
- Data stewardship workflows to resolve potential matches
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Full-spectrum survivorship for the perspectives users need.
- Single best record using most trusted crosswalk record
- Field-based survivorship to select attributes from many crosswalk records
- Context-aware to align golden records with needs from multiple use cases
- Reltio ID with full traceability and native data lineage across systems
How are we different?
What our customers have achieved.
8.3B
consolidated profiles under management by Reltio
85%
reduction in customer records
after consolidating profiles
90%
match rate with Reltio vs.
20% with third-party match
Simplify data-powered success.
- Our cloud-native SaaS platform scales and adapts as your business grows.
- Get up and running quickly and easily so you can deliver value fast.
- Action-ready insights help you move faster, work smarter, and stay ahead.
Delivering high-quality, trusted data for better decisions.
- Support your business operations and decisions with continuous, automated data quality management.
- Increase effectiveness with real-time visibility and operational insights.
- Use machine-learning-powered recommendations to automatically find and fix data quality issues.