### 2.1 Integration Assessment The boxing dataset comprises 10 independent tables—five versions of `cleandata` (v1 through v5)—with no relational links between them, collectively holding 611 fighter and match records. Each table operates as a standalone snapshot, preventing cross-version analysis of career progression, evolving win/loss patterns, or longitudinal fighter development. This siloed structure limits the ability to track how individual boxers' knockout rates, decision outcomes, or competitive trajectories change across dataset iterations or time periods. ### 2.2 Recommended Actions - **Establish version lineage**: Determine whether `cleandata` through `cleandata_v5` represent temporal snapshots, data quality iterations, or weight-class segments; document the relationship to enable trend analysis of fighter performance evolution and career arc comparisons. - **Enrich with external fight registries**: Link fighter records to sanctioning body databases (WBC, WBA, IBF, WBO) using boxer names or identifiers to validate win/loss/KO counts, add title bout flags, and incorporate official ranking histories. - **Integrate biographical and physical attributes**: Append reach, stance, age-at-fight, and training camp data from public boxing archives to analyze how physical characteristics correlate with knockout patterns and decision outcomes. - **Consolidate redundant tables**: If versions contain overlapping fighters, merge into a unified master table with version/date markers to streamline reporting and eliminate the 16% largest-table fragmentation across five near-identical schemas.