Import data from all pipeline stages: exhibitor extraction, website crawling, directory scraping, search discovery, email discovery.
Match incoming records to existing entities by domain, email, and fuzzy name similarity.
Identify fields where multiple sources provide different values (e.g., two different phone numbers).
Resolve conflicts by source priority. Event exhibitor data (100) overrides search-derived data (70).
Score confidence based on multi-source agreement. Facts confirmed by 3 sources score higher than single-source.
Fuzzy dedup using domain + email identity keys. Merge duplicate records preserving highest-quality data.
Feed validated data into cross-run knowledge store for future enrichment runs. Anti-poisoning filters active.
Merge exhibitor data from multiple trade shows into one deduplicated database.
Reconcile CRM records with fresh enrichment data, preserving the highest-quality values.
Aggregate data from multiple vendors and compare quality by source attribution.
Layer new enrichment data on top of historical records with conflict-aware merging.
Merge prospect lists from marketing, sales, and partnerships into one source of truth.
Each enrichment run feeds the knowledge store, improving future runs on overlapping companies.
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