### 2.1 Integration Assessment The five monthly tables (January 115 rows, March 98, February 96, April 95, May 42) show no detected foreign-key relationships, and none are expected. Each appears to be a periodic snapshot of the same funding and investor subject, so the structure is parallel rather than relational. The 100% referential integrity score therefore reflects the absence of cross-table dependencies, not a validated network of joins. Together the tables hold 446 rows, and no single month holds more than 26% of them. ### 2.2 Recommended Actions - **Consolidate the monthly tables into one time-stamped funding view.** This enables January–May 2022 trend analysis and avoids five separate reports. It is a stacking exercise, not a join repair. - **Confirm column consistency across months before combining.** Check that field names and formats match, especially in May, which is the smallest table at 42 rows. A low count may indicate a partial month rather than a real slowdown. - **Enrich with external reference data.** Examples include a standardized investor registry, sector classification, and city or state geography. These would support questions about who is funding what and where. - **Plan for schema evolution.** Add a reporting-month field and a persistent startup identifier so future monthly drops append cleanly and connect to outside sources.