### 2.1 Integration Assessment The **titanic** table operates as a self-contained passenger manifest with 891 records and no dependencies on external tables. This flat structure captures voyage-specific attributes—passenger demographics, ticket details, cabin assignments, and survival outcomes—but lacks connections to broader maritime, geographic, or economic reference data that could deepen strategic analysis. The dataset's 100% referential integrity score reflects its standalone design rather than multi-table architecture. ### 2.2 Recommended Actions - **Link to port-of-embarkation reference data** to analyze regional booking patterns, fare variations by departure city, and survival rates correlated with embarkation point socioeconomics - **Integrate historical currency conversion tables** to normalize 1912 ticket fares into present-day values, enabling meaningful revenue and pricing tier comparisons for modern hospitality or travel benchmarking - **Append vessel specification data** (ship class, route history, safety equipment inventories) to contextualize survival outcomes against maritime standards and inform risk assessment models - **Enrich with passenger surname genealogy databases** to identify family groups beyond the existing sibling/spouse counts, revealing group travel behaviors and kinship-based survival patterns that current fields cannot surface