Tag

hidden-data-model

The Company’s Hidden Data Model Series #10: The Business Ontology Audit

The business ontology audit is not a philosophical exercise. It is a way to find where the company’s systems disagree about reality before those disagreements distort decisions, workflows, metrics, customers, finance, or AI. Use a simple scoring system: * 0 — unclear or absent * 1 — partially defined, inconsistently used * 2 — defined,

The Company’s Hidden Data Model Series #8: Ontology as Operating Design

Ontology work fails when it is treated like documentation. A team creates a glossary. A data catalog is launched. Some fields get descriptions. A diagram appears in Confluence. Everyone nods. Then the operating system continues unchanged. That is not enough. Ontology is operating design. It defines how the company sees

The Company’s Hidden Data Model Series #9: AI Makes Ontology Urgent

AI does not create the ontology problem. It removes the buffer that hid it. Before AI, messy definitions were painful but survivable. Humans mediated the gaps. They knew which dashboard was wrong. They remembered the customer exception. They checked the finance spreadsheet. They asked the person who had been around

The Company’s Hidden Data Model Series #7: Ontology Debt

Ontology debt is the accumulated cost of unclear business meaning. It builds quietly. A field is added quickly for one team. A product is renamed but old SKUs remain. Finance creates a workaround for a billing edge case. Sales changes segmentation but support keeps the old tiers. Product ships a

The Company’s Hidden Data Model Series #6: Where Ontology Actually Lives

Ontology does not live in one place. That is why it is hard to govern. If ontology lived only in the data warehouse, the data team could fix it. If it lived only in the CRM, RevOps could fix it. If it lived only in the ERP, finance systems could

The Company’s Hidden Data Model Series #5: Metrics Are Ontology With Math Attached

A metric is not just a calculation. A metric is ontology with math attached. Every metric says what exists, what counts, what does not count, how objects relate, which time period matters, which system is trusted, and who has authority to interpret the result. This is why metric debates become

The Company’s Hidden Data Model Series #4: Relationships Matter More Than Labels

Companies spend too much time naming objects and not enough time designing relationships. Labels matter, but relationships carry the operating truth. A customer label tells you little unless you know which contracts, invoices, products, users, workspaces, support obligations, legal entities, territories, subsidiaries, partners, and employees connect to that customer. A

The Company’s Hidden Data Model Series #3: The Core Objects of the Business

A company does not need to model everything with equal precision. That is where ontology projects go wrong. They try to create an exhaustive dictionary of the business. Every field, every label, every workflow state, every local exception. The result is a heavy artifact that impresses architects and annoys operators.
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