{"schema_version":"onlylabs.public_signal.v1","title":"Databricks (DBRX) Writing: How Stagwell built privacy-safe ID matching on Databricks","description":"Databricks (DBRX) writing signal with public source context, captured evidence pages, related signals, and category-scoped analysis context.","url":"https://onlylabs.fyi/signals/f0870eb1-f69d-4e69-bf72-c1bca0ff53ee","json_url":"https://onlylabs.fyi/signals/f0870eb1-f69d-4e69-bf72-c1bca0ff53ee/signal.json","generated_at":"2026-06-27T00:33:20.453Z","evidence_latest_fetched_at":"2026-06-18T16:03:53.499486+00:00","signal_first_seen_at":"2026-06-18T16:00:29.529861+00:00","org":{"slug":"databricks","name":"Databricks (DBRX)","category":"neocloud","category_label":"Neocloud","dossier_url":"https://onlylabs.fyi/labs/databricks","dossier_json_url":"https://onlylabs.fyi/labs/databricks/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/f0870eb1-f69d-4e69-bf72-c1bca0ff53ee","signal_json":"https://onlylabs.fyi/signals/f0870eb1-f69d-4e69-bf72-c1bca0ff53ee/signal.json","source":"https://www.databricks.com/blog/how-stagwell-built-privacy-safe-id-matching-databricks","lab_dossier":"https://onlylabs.fyi/labs/databricks","lab_dossier_json":"https://onlylabs.fyi/labs/databricks/dossier.json","analysis":"https://onlylabs.fyi/analysis/databricks","analysis_json":"https://onlylabs.fyi/analysis/databricks/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/databricks/evidence.json","category":"https://onlylabs.fyi/neoclouds","category_json":"https://onlylabs.fyi/neoclouds.json","category_feed":"https://onlylabs.fyi/neoclouds/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json?category=neocloud","topic":"https://onlylabs.fyi/topics/talking","topic_signals_json":"https://onlylabs.fyi/topics/talking/signals.json?category=neocloud","topic_feed":"https://onlylabs.fyi/topics/talking/feed.xml?category=neocloud","data_business":null},"answer_pack":{"answer":"Databricks (DBRX) published How Stagwell built privacy-safe ID matching on Databricks. 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frontier labs; for this category, keep conclusions tied to category-specific strategy, source evidence, and follow-up questions.","required_sources":[{"label":"signal_json","url":"https://onlylabs.fyi/signals/f0870eb1-f69d-4e69-bf72-c1bca0ff53ee/signal.json","required":true},{"label":"source","url":"https://www.databricks.com/blog/how-stagwell-built-privacy-safe-id-matching-databricks","required":true},{"label":"dossier_json","url":"https://onlylabs.fyi/labs/databricks/dossier.json","required":true},{"label":"analysis_evidence_json","url":"https://onlylabs.fyi/analysis/databricks/evidence.json","required":true},{"label":"topic_signals_json","url":"https://onlylabs.fyi/topics/talking/signals.json?category=neocloud","required":false},{"label":"data_radar_json","url":null,"required":false}],"expected_output":["one-paragraph source-grounded interpretation","category-specific implication","confidence and missing evidence","recommended next source to inspect"],"prompt_seed":"Using only the 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Databricks Marketplace-powered clean room apps enable plug-and-play, privacy-safe identity matching at scale ensuring data never leaves the customer's environment. Stagwell’s solution combines Databricks Clean Rooms, Stagwell ID Spine, and app orchestration to move from raw data to actionable audiences via their Agentic Targeting System (SATS), all without exposing raw records from either side. The identity matching problem brands face today Brands invest heavily in building first-party data assets, including purchase histories, CRM records, loyalty programs,and website interactions. That data is fragmented across systems and difficult to activate across channels. However, first-party data alone only tells part of the story. To build complete audience profiles, brands need to match their records against identity providers' spines for cross-channel identity graphs spanning email, device IDs, cookies, and offline touchpoints. 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