Profile millions of records in seconds. Find where "IBM" becomes "I.B.M." and "Robert" turns into "Bob." See duplicate counts, format chaos, and match potential instantly
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Profile millions of records instantly. See exact duplicate counts, format inconsistencies, and data quality scores.
Visual heat maps show where "McDonald's" has 15 spellings. Drill into any variation to see frequency and source.
Every scan creates compliance documentation. Track quality scores over time. Prove you know every duplicate and risk.
“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.”
Profile every field, format, and pattern across millions of records simultaneously. Get completeness percentages, uniqueness scores, and format distributions. One scan shows everything wrong with your data.
See exact duplicate counts before running matches. Profiling identifies potential duplicates by analyzing patterns, frequencies, and similarities. Know if you have 10% or 40% duplicates before you start cleaning.
Heat maps show quality problems at a glance. Red zones highlight missing data, format chaos, and duplicate clusters. Drill into any field for distribution charts, pattern analysis, and variation breakdowns.
Schedule profiling runs hourly, daily, or triggered by data loads. Track quality trends automatically. Get alerts when duplicate rates spike or quality drops. Keep profiling current without manual work.
See your data's reality in seconds. matchlogic scans every record across all systems simultaneously, revealing duplicate counts, format variations, and missing data patterns. Know exactly where "Robert Smith" becomes "R. Smith" and how often it happens.
Find exact duplicate percentages across every system. See which databases create the most duplicates and where customer records multiply unnecessarily.
Discover that "McDonald's Corporation" has 23 different spellings across your systems. Visual maps show every variation, frequency, and originating source.
Identify which fields are 40% empty and killing match accuracy. Know which systems skip required data and what percentage of records are incomplete.
Catch outliers and suspicious patterns automatically. Flag records with impossible dates, duplicate IDs, or format violations before they break matches.
Get hard numbers on how bad things really are. matchlogic assigns quality scores to every field, record, and system based on completeness, consistency, and uniqueness. Track scores over time to prove improvement or catch degradation before analytics break.
Every field gets scored for completeness, format consistency, and uniqueness. Know which fields are reliable for matching and which need cleaning first.
See which systems produce the cleanest data and which create chaos. Compare quality scores across CRM, ERP, and warehouses to find your problem sources.
Get probability scores showing likelihood of duplicates. High-risk records get flagged before they create customer confusion or compliance failures.
Automated scans flag PII in wrong fields, incomplete required data, and audit risks. Get compliance scores that prove your data meets regulatory standards.
Stop reading spreadsheets of quality metrics. matchlogic turns profiling results into interactive heat maps, distribution charts, and drill-down dashboards. Click any red zone to see exact records. Filter by system, date range, or quality threshold.
Red zones show duplicate clusters and quality failures at a glance. Click to drill into specific records. See patterns humans miss in traditional reports.
Visualize how values spread across your data. See if customer IDs cluster suspiciously or if date fields have impossible values. Spot anomalies instantly.
Watch quality scores change over time. See when duplicates spike, which systems drift, and whether cleanup efforts actually work. Prove ROI with data.
Schedule profiling to run hourly, daily, or triggered by data loads. matchlogic monitors quality continuously without manual intervention. Get alerts when duplicate rates exceed thresholds or quality drops.
Embed profiling directly in your data pipelines. Every new data load gets profiled automatically. Catch quality issues before they hit production systems.
Compare today's profile against last week, last month, or last year. See if data quality improves or decays. Prove the value of your cleanup initiatives.
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 the inflated duplicate count. Upload your data and see how many unique customers exist.
Identify Errors In Your Data
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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