ENTERPRISE DATA ONTOLOGY — Consumer + Institutional Banking

Level 0: the 11 canonical data domains and how they relate · then each domain decomposed into entities, attributes, and explicit "has / belongs to / governs" relationships · derived from the 45-domain Enterprise Capability Map

1Mclassifies/ parents1Mholds1Mowns11governsterms of1Mis secured by1MgeneratesMMraisesM1feedsexposure toM1posts toM1aggregatesintoM1aggregatesinto1Mraisesfeeds profile to (1:M)supplies golden reference values to every domain (dashed)Legal Entity &Organization DataRegistered legal structures, LEI, group hierParty & CustomerDataWho the bank knows — people & organisationsReference &Market DataShared master & market truth every domain reProduct & AgreementDataWhat is offered — catalogue, pricing, contraAccount & PositionDataWhere value sits — accounts, balances, holdiCollateral & AssetDataWhat secures exposure — property, pledged asTransaction &Payment DataMovements of value — payments, trades, settlDocument & CaseDataEvidence & work-items — cases, correspondencRisk DataExposure, scoring & loss — credit, market, oFinance &Accounting DataThe ledger — journals, profitability, closeRegulatory &Compliance DataObligations discharged — returns, filings, aLEVEL 0 — ENTERPRISE DATA ONTOLOGYThe 11 canonical data domains spanning all 45 capability domains, and how they relateEntity (data domain / object)Relationship (verb phrase)Attribute / sub-domain1one · MmanyIllustrative reference architecture · generic archetypes · no institution named