An introduction to the ontology-derived Enterprise Data Model for Finance and Business stakeholders.
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Text of the presentation
Financial Industry Business Data Model (FIB-DM) Education Module
Semantics for Managers •
An introduction to the ontology-derived Enterprise Data Model Jurgen Ziemer, Ontologist & Data Architect at Jayzed Data Models Inc.
https://fib-dm.com © 2026 Jayzed Data Models Inc.
FIBO Data Model Education course.
9 Classes, 1-2 hours
Articles and tools (MS Visio and Excel)
The kickstart is a high-level overview for non-technical audiences.
If you have licensed FIB-DM already, copy from the PowerPoint for your internal presentations
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You work at a Financial Institution and already embrace model-driven development, industry standards, and reference models.
Finance business stakeholder and expert with a working knowledge F of Entity-Relationship and Ontology diagrams.
Data or Application Architect experienced in Enterprise Reference models. You may have used FIBO design patterns and definitions.
As an Ontologist with an in-depth understanding of the FIBO, you already use the reference ontology for your design and want to spread adaptation across your enterprise.
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Introduction to the author and publisher
Jurgen Ziemer has 20 years industry experience as a data architect and ontologist at leading Financial Institutions and service providers.
Jayzed Data Models
Accenture
- Seven years as an IBM Software Group Consultant for the Banking and Financial Markets Data Warehouse (BFMDW) model at 45 banks in North America, Europe, and Asia.
- Four years implementing BFMDW at Citi and Deutsche Bank. • Speaker at FIBO conferences
IBM Credit Suisse
Deutsche Bank
Jayzed Data Models Inc. is a US consulting company incorporated in 1999.
Jayzed holds the FIB-DM copyrights and is the designated assignee to the CODT Patent.
Citi
Reuters
German Stock Exchange
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There is a chasm between semantic conventional data management.
The EDMC specified FIBO in Ontology Web Language (OWL).
FIBO is comprehensive with detailed coverage of business entities, loans, securities, derivatives, and indicators.
Large financial institutions started implementations on RDF (“triple”) stores
and
OWL needs highly specialized ontologists.
Many banks and investment managers don’t have the expertise in-house.
IT departments must still support and design conventional databases.
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FIB-DM is the bridge across the chasm.
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The ontology transformed into a data model leverages the design for relational databases.
FIBO RDF OWL
FIB-DM Data Model
Configurable Ontology to Data-model Transformation
Semantic Triple Store Relational Database
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Predictions
RDF stores dominate data systems for knowledge management. • RDBMS remains the standard for core transactional and business
intelligence systems.
Hence, Financial Institutions still need relational models and data modelers.
However, Ontology Web Language (OWL) replaces the Entity-Relationship Model (ERM) as the notation of choice for Industry Domain and Enterprise Models.
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Semantic Enterprise Information Architecture
Use Type RDF FIBO OWL Level
Business Conceptual
FIB-DM
FIB-UM Enterprise
Design Logical
Data Model
Department
Physical
Development RDBMS
Implementation
RDF Project
Data Message Process Object
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Semantic Model-Driven Development
Conceptual
Logical
FIBO is the Finance domain ontology; FIB-DM is its conceptual data model. • A reference data model the enterprise and projects.
Logical models for data, message, process, and object derive from the ontology
The ontology at the architecture apex ensures common names, definitions, and design across the enterprise.
Midsize Financial Institutions without Semantic Technologies yet, adopt FIB-DM, a strategic enterprise model. • Large institutions use CODT to transform their in-house ontologies into data models for downstream
implementation.
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Financial Industry Business Data Model
FIBO = in PowerDesigner (ERWin and other data modeling tools)
- Financial Industry Business Data Model of 3,173 Entities, complete definitions, annotations, and axioms (business rules).
- Data Architects leverage the full content of the Industry Standard.
- Common Language and design patterns for Semantic & Relational data.
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Transformation principles & considerations for the derived data model
- The model must be practical.
Overly normalized designs become too abstract for business users and developers. - The model must be complete.
We don’t want to miss information from the ontology - The model has complete documentation. The diagrams depict all subject areas and design patterns.
- The model maps back to its source, the ontology
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Domain ontology generates a perfect CDM
Ontology graph Conceptual Data Model
DepositoryInstitution
This entity-relationship diagram is DepositoryInstitutionsubtype the best representation of the Bank
Account, its provider, and ID. Bank
~
<> Bank – provides (cmns)
<> provides (cmns)
There are no missing or superfluous entitiesprovides (cmns) -Demand Deposit Account or relationships in the design. Demand Deposit Account
<>
identifies (cmns) -Demand Deposit Account
<> identifies (cmns)
<>
Bank Account Identifier – identifies (cmns) (D)
Bank Account Identifier
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From FIBO to FIB-DM – how does it work?
The Configurable Ontology to Data-Model Transformation (CODT) is basic ETL.
RDF OWL
Extract Transform Load
We extract metadata from the source ontology, transform it into conceptual data model metadata, and load it into the data modeling tool PowerDesigner.
The extraction process runs SPARQL queries on the ontology to retrieve the metadata. PowerDesigner imports MS-Excel workbooks. The Transformation in between is a 2-step process using the patented Metadata Sets.
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The CODT Metadata Sets.
The Extract process populates the Ontology Metadata Sets for classes, object-, data properties, and annotations.
Step 1 Step 2
Ontology Metadata Set
Generic EntityRelationship Metadata Set
Tool-specific Metadata Set
Step one transforms the ontology metadata and populates the generic ER representation. The Tool-specific metadata set is in PowerDesigner format. Step two is a simple conversion from generic ER to PowerDesigner objects, properties, and extended attributes. We serialize to MS Excel and load it directly into the data modeling tool.
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CODT Utility Patent US12038939
The groundbreaking and broad patent awarded means that Jayzed Data Models Inc. has protected its intellectual property to:
Protect FIB-DM open-source core users and licensees of the whole model
Transform very large ontologies. • Make the transformation process
available for licensing.
Transforms other domain ontologies, Gene, oil, auto, in the future.
https://codt.net/patent/
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FIB-DM Core is Open Source
GNU General Public License (GPL-3.0), an Open Source Initiative® recommended license. Available for download on the FIB-DM website: https://fib-dm.com/data-model-download/
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A one-thousand-entity open-source model
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A self-contained, standalone data model.
Generic OMG Commons OMG Languages, Countries & Currencies Simple Knowledge Organization System Specification Metadata
FIBO Foundation
Domain Core
Free Open Source
FIBO Finance Business & Commerce FIBO Business Entities
FIBO Loans & Mortgages FIBO Business Processes
Domain Extensions
FIBO Corporate Actions & Events
FIBO Securities
FIBO Derivatives FIBO Indicators
Commercial License
FIBO Market Data FIBO Collective Investment Vehicles
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FIB-DM Extended for Financial Institutions
The complete 3173-entity data model.
Full Quarterly updates as new FIBO modules for banking and investment become available (with optional maintenance).
Access to data diagrams, PowerPoint, Excel, and Visio resources Permission to lift off and rebrand for internal use.
Optional 12- month Maintenance agreement with training, model, and resource updates.
Tiered pricing based on asset size with discounts for regulators and governments.
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Transparency for your FIB-DM evaluation
Download the Open Source
Examine the Full Model report
Semantics for Data Architects
Review the Education resources
Schedule an online demo and Q&A
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Core in
(ERWin and other data modeling
tools)
https://fib-dm.cm jziemer@jayzed.com
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