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Business-Friendly Data Modeling

Making data models clear and valuable for the business.

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💬 Business-Friendly Data Modeling

3 min readOct 6, 2025

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Making data models understandable, usable, and valuable for the business

Why Business-Friendly Modeling Matters

Data models are not just technical diagrams — they’re maps of how the business sees itself.
When designed and explained well, they become a shared language between business and technology.
When not, they stay locked in technical silos.

Business-Friendly Data Modeling explores how to make models that do more than structure data — they shape understanding, trust, and collaboration.

This publication is for data modelers, architects, and data leaders who want to make modeling a business conversation, not a back-end activity.

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What You’ll Find Here

Each article focuses on clarity, structure, and meaning — how to design models that both reflect and communicate the business reality they represent.

Topics include:

  • How to align data models with real business language and ontology
  • Bridging conceptual, logical, and physical design through shared semantics
  • Why universal and normalized models (3NF) still matter in modern integration layers
  • How to design models that enable integration, not isolation
  • Turning ERDs and diagrams into accessible narratives for business stakeholders
  • Embedding governance, quality, and ownership into modeling conversations

The goal: make the model the meeting point, not the barrier.

Featured Articles

Each story highlights how modeling can simplify complexity, preserve business meaning, and improve communication between disciplines.

Why “Business-Friendly”?

Because effective data modeling is not about making diagrams simpler — it’s about making ideas clearer.
A business-friendly model speaks in terms that everyone can understand, so that:

  • Business users can validate meaning.
  • Engineers can implement consistently.
  • Governance teams can trace data with confidence.

When models use the business’s own language, they become instruments of alignment — connecting people, processes, and platforms.

As one article put it:

“Business-oriented modeling is where ontology meets operations.”

How It Fits in the Ecosystem

Business-Friendly Data Modeling sits at the intersection of structure and storytelling — complementing the technical depth of your other publications:

Together, these publications form an ecosystem that connects meaning, governance, and architecture.

Join the Conversation

Follow this publication for frameworks, metaphors, and methods that make data modeling approachable and valuable across the enterprise.
If you believe that models should explain — not obscure — how the business works, this space is for you.

The views expressed here are my own and do not represent those of my employer, clients, or current projects.
This content is for educational and informational purposes only and should not be interpreted as professional advice.

✍️ Written by Jaco van der Laan
Lead Data Modeler & Data Solution Architect — specializing in model-driven data engineering, enterprise data platforms, and high-governance environments in financial services.

⭐ Follow me on Medium → Jaco van der Laan on Medium
🌐 Visit my website → www.jacovanderlaan.com
🔗 Connect on LinkedIn → linkedin.com/in/jacovanderlaan

🧭 Explore my publications:
Model-Driven Data Architecture | Model-Driven Data Engineering | Model-Driven Data Delivery | Business-Friendly Data Modeling | Business-Friendly Data Mapping | Business-Friendly Metadata | Universal Data Models | Next-Gen Data Modeling

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Business-Friendly Data Modeling
Business-Friendly Data Modeling

Published in Business-Friendly Data Modeling

Making data models clear and valuable for the business.

Jaco van der Laan
Jaco van der Laan

Written by Jaco van der Laan

Exploring Business & Logical Data Modeling. Writing on Clarity, Structure & Creative Approaches to Data Architecture.