[{"data":1,"prerenderedAt":4},["ShallowReactive",2],{"raw-en-articles\u002Fsales-marketing-ontology-for-targeting-collaboration-and-consent":3},"---\ntitle: Sales & marketing ontology for targeting, collaboration, and consent\ndescription: Structured ontology semantics for targeting, collaboration, and consent\nlang: en\nnavigation:\n  enabled: false\n  section: articles\n  order: 30\ntags:\n  - collaboration\n  - ontology\n  - privacy\n  - sales-marketing\n---\nWithout shared privacy semantics, each team builds incomplete and conflicting models.\n\n## Why this matters\n\nWithout shared semantics, teams build conflicting privacy interpretations.\n\n## What this looks like in practice\n\n- Consent decisions are consistent across database queries, APIs, and human processes.\n- Data retention rules work identically across clouds, on-premises, and third-party platforms.\n- Subject access requests are answered systematically instead of through manual hunting.\n\n## How teams use it\n\n- implementing consent and rights management across polyglot data systems\n- proving data minimization through consistent classification across pipelines\n- automating privacy impact assessments with comparable criteria\n\nTeams earning user trust have consistent privacy execution, not just policies.\n",1776235589161]