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Needs, data, and design

Turn an operational process into a verifiable model.

Concept and mechanism

Start with the process and its boundaries: who creates work, which states exist, who decides, and which evidence permits closure. A reconciliation-exception application can organize records, assignments, and approvals without performing low-latency financial calculations. Confirm volume, latency, integration, and licensing requirements before deciding where each responsibility belongs. In the model, separate the business entity from its presentation. An exception can reference a fund and contain several resolution attempts; copying the fund name into every record creates divergence when the name changes. Use references and relationships with explicit cardinality. Technical identity should remain stable even when the business label changes.

Guided application

Before creating tables, sketch synthetic records and walk through a rename, a team transfer, and an exception reopening. Identify owned and shared data. Extending a table can reuse behavior and fields, but also brings inheritance that needs analysis; do not select the parent merely to save clicks. Documentation distinguishes internal names from labels: scope and internal table names cannot be renamed like display labels. Record that choice early. Build a development prototype using synthetic data and validate relationships and access. The result should explain each exception’s state and decision history without duplicating the financial system responsible for the values.

IN PRACTICE

A fund changes name; the reference preserves the relationship without rebuilding every exception.

Common pitfalls

Confusing labels with identity; extending without assessing inheritance; assuming fit without requirements.

Related topics: Scope, modules, and dependencies · Forms and client/server logic · Security and access contracts

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Model entities, relationships, and responsibilities before forms.

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Reference: Define and build the data model · CAD blueprint January 2026