### 2.1 Integration Assessment The dataset comprises two parallel, self-contained tables—**ittf_rankings** (271,271 rows) and **ittf_rankings_women** (202,311 rows)—that operate independently with no structural linkages between them. This architecture reflects separate tracking systems for men's and women's table tennis rankings rather than a unified data model. While both tables maintain 100% internal completeness, the absence of shared identifiers or cross-references limits comparative analysis, trend benchmarking across divisions, and consolidated reporting on the sport's competitive landscape. ### 2.2 Recommended Actions - **Establish player master data**: Integrate external athlete registries or federation databases to create unique player identifiers that enable career trajectory analysis, cross-gender performance benchmarking, and historical continuity tracking across ranking periods. - **Enrich with tournament context**: Link rankings to event calendars, competition tiers, and geographic metadata to contextualize ranking movements, identify performance drivers, and support strategic planning for athlete development programs. - **Add temporal reference data**: Incorporate Olympic cycles, season boundaries, and rule-change milestones to segment the 473,582 total ranking records into meaningful analytical periods that align with business planning horizons. - **Create unified analytics layer**: Build a consolidated view that harmonizes both tables with standardized metrics, enabling executive dashboards that compare participation trends, regional strength distribution, and competitive depth across divisions.