Enterprise data modeling benefit check: Assess the statement: "With an enterprise data model, it is much easier to build applications because you know exactly what data exist and what needs to be added."

Introduction / Context:
An enterprise data model (EDM) provides a high-level, organization-wide view of core entities, relationships, and definitions. It aligns business vocabulary, reduces duplication, and exposes gaps. This question asks whether such a model eases application development by clarifying existing data and the deltas required for new capabilities.

Given Data / Assumptions:

• The EDM is current, governed, and connected to data catalogs and dictionaries.
• Application teams consult the EDM during planning.
• Integration patterns and ownership are documented.

Concept / Approach:
When the enterprise has a shared understanding of “customer,” “product,” “order,” and related relationships, application teams can reuse canonical structures and interfaces. This reduces conflicting definitions, accelerates design, and improves interoperability. The EDM also reveals where data do not yet exist, guiding backlog and data acquisition plans.

Step-by-Step Solution:

Verification / Alternative check:
Measure reduction in integration defects and schema rework; check consistency across services that share the EDM vocabulary.

Why Other Options Are Wrong:

• Limiting the benefit to analytics, microservices, or warehouses ignores the EDM’s cross-domain value.

Common Pitfalls:
Stale models; lack of governance; failing to connect the EDM to actual schemas and metadata management tools.

Final Answer:
Correct