1. In-Depth Structural Audit

• We perform a full review of your PostgreSQL schema, identifying:

  1. Redundant or obsolete tables

  2. Unused columns introduced by legacy modules

  3. Poorly designed relationships and over-normalized structures

• Our analysis is tightly coupled with your Odoo usage to ensure that only truly unnecessary elements are targeted for cleanup.

2. Data Model Refinement

• We apply normalization where appropriate to reduce data duplication and enforce integrity.
• Conversely, we denormalize certain tables when performance is prioritized over strict design — especially for reporting or dashboard-heavy use cases.
• This balanced approach ensures that the structure supports both speed and maintainability.

3. Partitioning and Table Management

• For large datasets, we implement table partitioning (by date, region, or business entity) to improve query performance and manageability.
• We also reorganize bloated tables and analyze TOAST usage to reduce storage inefficiencies and improve I/O behavior.

4. Smart Index Management

• We identify and remove unused or redundant indexes that slow down writes and consume unnecessary resources.
• Our team implements targeted indexing strategies — such as partial, multicolumn, or expression indexes — to speed up high-impact queries and ORM operations in Odoo.

5. Documentation and Future-Proofing

• All changes are clearly documented, with a focus on how the new structure supports your business operations.
• We provide guidelines and best practices for future module development to maintain a clean, performant schema over time.