### 5.1 Performance Posture The B2B sales funnel infrastructure is currently optimized for transactional storage rather than analytical query patterns. With **b2b_sales_funnel_pipeline** holding 8,800 records and representing 98% of total row volume, the system demonstrates a single-table-dominant architecture that minimizes join complexity but may limit search efficiency on text-heavy columns. The **data_dictionary** table, though small at 21 rows, contains unindexed description fields that will degrade performance as metadata queries scale alongside pipeline growth. ### 5.2 Key Optimizations | Target | Optimization Type | Recommendation | Strength | |--------|-------------------|----------------|----------| | data_dictionary.Description | Text Search | tokenized_text | High | Implementing tokenized text search on the **data_dictionary.Description** column will accelerate metadata lookups and self-service analytics workflows, enabling sales operations teams to quickly locate field definitions and business rules without scanning full-text descriptions. As the pipeline expands beyond 10,000 opportunities and users increasingly query data lineage and column semantics, this optimization will prevent search latency from becoming a bottleneck in reporting cycles. The current infrastructure handles existing volume adequately, but proactive indexing now avoids performance degradation as deal complexity and metadata documentation grow in parallel with revenue scale.