Non-exact duplicates break your analytics and fail audits. MatchLogic finds and merges them all. Transparently. Permanently. Across every system from Day 1.
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Can analyze millions of records in seconds to find inconsistencies, format issues, and potential duplicates. See exactly where "McDonald's" appears as "McDonalds," "McDnlds," and "McDonald's Corp." across every system. Get a full duplicate risk score before you touch anything.
Learn moreAutomatically fix inconsistent formats, abbreviations, and typos across all records. Turn "St." into "Street," "Corp" into "Corporation," and "CA" into "California"—using your rules, not ours. Every transformation is logged and reversible.
Learn moreWatch our transparent matching engine find connections others miss. "Robert Smith at 123 Main" matches "Bob Smith at 123 Main Street" with a 94% confidence score. See exactly which algorithms fired: name similarity (85%), address match (98%), phone match (100%). Adjust any threshold instantly.
Learn moreConsolidate duplicate records while preserving data lineage. When three vendor records become one, you control which fields survive, which get archived, and which trigger manual review. No data disappears into a black hole—every merge is tracked and auditable.
Learn moreEmbed matching directly into your data pipelines via API. Every new record gets checked against your master data in real-time. Set up alerts when match confidence drops below your thresholds. Keep your data clean automatically, not just during quarterly cleanups.
Learn moreInconsistent customer names. Duplicate vendor records. Mismatched product codes. They're killing your analytics today and failing your compliance tomorrow. MatchLogic matches them all: transparently, accurately, permanently. No black-box ML. No months of setup. Just clean, unified data from day one.
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See your actual duplicate count in under 10 minutes. Most companies find 30-40% duplicates they never knew existed.
Process 10 million records in minutes, not days. Our engine maintains 95%+ match accuracy whether you're matching 1,000 or 100 million records. No performance degradation. No accuracy dropoff. Same transparent rules at any scale.
Stop juggling different tools for customers, vendors, products, and addresses. MatchLogic profiles, cleans, matches, and maintains all entity types in one platform. Same interface. Same rules engine. Same transparency.
Our algorithms find matches humans miss—but we show you exactly how. When we match "Bob Smith" to "Robert Smith Jr.," you see the name similarity score (87%), address match (100%), and phone correlation (95%). Adjust any threshold. Override any decision.
Discover the most common use cases we help organizations tackle
Single customer view
Vendor consolidation
Product catalog cleanup
Post-merger integration
Migration deduplication
Compliance readiness
Entity resolution for analytics
Data quality for AI/ML
Procurement spend analysis
"Robert Smith" in CRM is "R Smith" in billing. MatchLogic links them all transparently—showing every rule and confidence score. Get accurate customer counts instantly.
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"IBM Corp" and "International Business Machines" are the same vendor. MatchLogic finds every variant across all systems. See exactly how each match was made. Cut vendor sprawl 40%.
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Same product, 15 different SKUs across systems. MatchLogic matches them all transparently—even with format chaos. See which rules unified which products. Real inventory visibility.
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Two CRMs. Unknown customer overlap. MatchLogic finds exact and fuzzy matches in hours, not months. Full transparency on match confidence. Know overlap before you migrate.
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Migrations create 30% new duplicates. MatchLogic profiles and cleans pre-migration. See every duplicate found and why. Prevent broken analytics. Migrate clean or don't migrate.
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You're buying from 1,000 vendors. Or is it 600? MatchLogic consolidates vendors across systems with full match transparency. Find true spend patterns and hidden savings instantly.
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Your BI shows 50,000 customers. You have 35,000. Duplicates break every metric. MatchLogic deduplicates before data hits your warehouse. Know real numbers, not duplicate fiction.
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Your ML model thinks one customer is five people. MatchLogic cleans training data transparently. See exactly what merged and why. Feed AI actual patterns, not quality problems.
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You're buying from 1,000 vendors. Or is it 600? MatchLogic consolidates vendors across systems with full match transparency. Find true spend patterns and hidden savings instantly.
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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.
Start matching today, not next quarter
Not a support ticket portal. An actual matching specialist who knows your data, your rules, and your specific duplicate problems. They'll configure your first match rules with you and show you exactly why each duplicate was caught.
We configure your matching rules during onboarding - not after. See your actual duplicates on day one. Adjust thresholds together. Deploy to production in days. No consulting invoices. No surprise delays.
Your team learns to tune match rules, read confidence scores, and adjust thresholds themselves. No black box dependency. No vendor lock-in. Full control from day 30. Certified and self-sufficient.
See exactly how MatchLogic finds, matches, and merges your actual data. Live demo. Real duplicates. Full transparency.
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Insights
The latest news and insights related to design, tech and strategy
Profiling instantly shows exact duplicate counts, missing data percentages, format variations, and quality scores for every field. You'll see where "McDonald's" has 20 different spellings, which systems create the most duplicates, and which fields are 40% empty. Visual heat maps highlight problem zones across all your systems simultaneously.
matchlogic profiles 10 million records in under 8 minutes, maintaining the same speed whether scanning thousands or billions of records. The engine analyzes every field, identifies patterns, calculates quality scores, and generates visual reports without performance degradation.
Most companies discover 25-35% duplicate records they never knew existed. The average first-time profile uncovers thousands of hidden duplicates costing real money. Profiling reveals duplicates hiding behind misspellings, abbreviations, and format differences your team would never catch manually.
Yes - profiling gives you potential duplicate percentages and risk scores before you write any matching rules. You'll know exactly how many likely duplicates exist, where they cluster, and which fields have the variations causing problems. This helps you configure match rules based on your actual data patterns, not guesswork.
Yes - schedule profiling hourly, daily, weekly, or triggered by data loads via API. Embed profiling directly in your data pipelines to catch quality issues before they hit production. Set threshold alerts for when duplicate rates exceed limits or quality scores drop. Automated profiling keeps constant watch without manual intervention.
Profiling automatically flags PII in wrong fields, incomplete required data, and audit risks. It identifies records missing mandatory fields, catches format violations, and documents quality scores for compliance reporting. Every profile run creates audit trails showing your data quality status and improvement trends - turning audit panic into audit proof.
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