| 162 | | |
| 163 | | = Conclusion = |
| 164 | | |
| 165 | | Phase 6 demonstrates advanced relational database analysis through: |
| 166 | | |
| 167 | | * Complex SQL Construction: |
| 168 | | * multi-table joins |
| 169 | | * aggregate functions |
| 170 | | * conditional calculations |
| 171 | | * temporal calculations |
| 172 | | |
| 173 | | * Formal Relational Algebra Expression: |
| 174 | | * mathematical representation of query semantics |
| 175 | | |
| 176 | | * Procedural Encapsulation: |
| 177 | | * PostgreSQL stored procedures |
| 178 | | * reusable database-side reporting logic |
| 179 | | * parameterized analytical procedures |
| 180 | | |
| 181 | | * Empirical Validation: |
| 182 | | * sample data insertion |
| 183 | | * query execution results |
| 184 | | * calculation verification |
| 185 | | |
| 186 | | The three analytical scenarios provide comprehensive Wedding Planner insights: |
| 187 | | |
| 188 | | * Budget vs Actual Expenditure Analysis |
| 189 | | * Venue Capacity Utilization Analysis |
| 190 | | * Event RSVP Conversion Rate Analysis |
| 191 | | |
| 192 | | Together, these reports illustrate how a normalized relational database can support not only transactional operations, but also analytical reporting, operational decision-making, and performance-oriented database design. |
