### 2.1 Integration Assessment The World Happiness dataset comprises five independent annual snapshots (2015–2019) with no structural relationships linking them, despite covering overlapping countries across consecutive years. Each table stands alone as a complete cross-sectional view, containing 155–158 country records with happiness scores and contributing factors. This architecture prevents longitudinal analysis—tracking how individual nations' well-being metrics evolve over time—and limits the ability to identify multi-year trends or measure policy impact across reporting periods. ### 2.2 Recommended Actions - **Establish a unified country dimension** by creating a master reference table with standardized country names and ISO codes, enabling consistent year-over-year comparisons and resolving naming variations that currently prevent automated time-series analysis across the five tables. - **Enrich with external socioeconomic indicators** such as World Bank development metrics, OECD governance scores, or UN demographic data to contextualize happiness trends against education spending, healthcare access, or political stability measures not captured in the current dataset. - **Integrate geospatial reference data** to enable regional aggregation and comparative analysis across continents, income groups, or cultural zones, transforming country-level observations into strategic insights about global well-being patterns. - **Link to historical policy events** or major economic shifts (recessions, conflicts, reforms) to test hypotheses about what drives happiness score changes between measurement periods.