Resolve entities across systems in seconds. Link scattered records to real-world people, companies, and assets. Get unified profiles that reveal who is who across all your data sources.
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Connect scattered records to the people, companies, and assets they represent. See entity clusters form across all your systems.
Find when Mike Rogers, Michael Rogers, and M. Rogers are the same person. Resolve nicknames, typos, and abbreviations instantly.
Combine fragments into complete profiles. Get the full picture of every customer, vendor, and contact across your enterprise.
“As part of the journey we’ve gone through with Matchlogic, we’re becoming more data-first, moving from assumption to assurance around data quality.”
Compare records against millions simultaneously using probabilistic and deterministic algorithms. Get match confidence for exact matches, fuzzy variations, and phonetic similarities. One scan resolves all entity relationships.
Identify entity patterns and group related records automatically. Fuzzy algorithms catch name typos and variations, phonetic matching finds sound-alikes. Pattern recognition clusters records that belong together.
See which records represent the same entity and why with field-by-field evidence. View confidence scores for every link. Visual breakdowns show where variations occur and how records connect across sources.
Schedule resolution runs hourly, daily, or triggered by data loads. Track entity fragmentation automatically. Get alerts when new duplicates appear or entity quality drops. Monitor continuously without manual work.
See your entity landscape in seconds. matchlogic connects records across all systems simultaneously, revealing entity clusters, confidence scores, and relationship evidence. Know exactly who is who instantly.
Get entity clusters for every related record group instantly. See which entries connect and which systems have the most fragmentation.
Configure different survivorship rules per field. Names use longest value, dates use most recent, addresses use most complete. Granular control without complexity.
Identify which fields are 40% empty and killing match accuracy. Know which systems skip required data and what percentage of records are incomplete.
Find connections between records across datasets. Discover where the same entity exists with variations across different data systems.
Get hard metrics on entity resolution quality. matchlogic calculates confidence scores, match evidence, and cluster completeness for every resolved entity. Track resolution quality over time.
Every record pair gets scored for match likelihood based on multiple fields. Know which links are certain for auto-merge and which need human review first.
Apply the same standardization rules across CRM, ERP, and warehouse data. Ensure consistent formats regardless of source system. Unify data from everywhere.
Get probability scores showing link confidence. Low-confidence matches get flagged for review before they create wrong entity merges.
Every merge decision is logged with before/after snapshots. Get compliance-ready audit trails showing exactly what changed and why.
Get comprehensive resolution reports instantly. matchlogic generates entity clusters, match evidence, and relationship maps for every resolution. Export results as CSV, JSON, or sync directly to your MDM systems.
Export resolved entity clusters with full evidence trails. See which sources contributed which records. Get resolution-ready files for direct database updates or MDM system imports.
See exactly which fields matched and why for every entity link. Evidence logs explain confidence scores based on your configured matching rules.
Compare original duplicates against final golden records. See consolidation impact field by field. Validate merge quality before pushing to production.
Schedule entity resolution to run hourly, daily, or triggered by data loads. matchlogic resolves entities continuously without manual intervention. Get alerts when fragmentation spikes.
Embed merge purge directly in your data pipelines. Every new duplicate group gets consolidated automatically. Build golden records before bad data spreads.
Compare resolution results over time. See if entity fragmentation decreases and profile completeness improves. Prove MDM investment value.
First profile revealed 40% missing data and format chaos we never suspected. Helped us fix issues before migration.
Profiling showed our 'clean' vendor data was 28% duplicates. Found $3M in duplicate payments in minutes.
We profile before every project now. Reveals quality issues that would break analytics. Saves weeks of cleanup.
Not fragments or variations. Upload your data and see entity clusters, confidence scores, and unified profiles instantly.
Start Resolving Entities
Entity resolution shows exactly how your records connect to real-world entities. You'll see which fragments belong together, where identity variations hide, and how records cluster. Visual entity maps highlight relationships across all your systems before any data changes, giving you full control over identity unification.
matchlogic resolves 10 million records in under 8 minutes, linking fragments and clustering related entities at scale. The engine analyzes every field, calculates match confidence, groups related records, and generates visual entity maps without performance issues.
Most companies discover 30-40% entity fragmentation they never knew existed. Resolution catches nicknames hiding as formal names, typos creating false duplicates, and company abbreviations splitting single entities. These variations cost real money in duplicate processes.
Deduplication removes exact duplicates within one dataset. Entity resolution links related records across multiple systems to real-world entities - even when names, formats, and identifiers vary. You get unified profiles showing the complete picture of each customer, vendor, or contact.
Yes - see exactly how records will cluster before any data changes. Visual previews show entity groups with confidence scores highlighted. Review field-by-field evidence, adjust matching rules, and approve results. Nothing changes until you confirm the resolution output.
Entity resolution creates unified customer identities for GDPR right-to-access requests, KYC verification, and AML screening. Track which records belong to each entity, prove proper identity management for audits, and maintain evidence trails showing how identities were resolved.
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