Robust match and survivorship —
accurate and flexible.
Variety of methods maximize coverage, minimize manual effort.
- AI-powered, rule-free matching with our private, secure Flexible Entity Resolution Networks (FERN)
- Automatic unmerge based on match rules—even as data and attributes change
- 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
Your smart path to trusted, interoperable core data.
- Scale and adapt as your business grows with our battle-tested, cloud-native SaaS MDM. And get millisecond response time.
- Get up and running quickly and easily with industry-specific velocity packs so you can deliver value fast and lower TCO.
- Stay ahead of the curve with our industry-leading MDM innovations and pretrained ML matching models.
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.