I would recommend the following strategies 1. Prevent incorrect data entry by implementing validation rules that check for errors and inconsistencies 2. Identify and correct inaccuracies by regularly auditing your database to ensure data remains consistent and reliable 3. Track changes and maintain consistency by employing version control for your data, allowing you to revert to previous versions if needed. 4. Implement master data management to ensure that critical data entities are accurate, complete, and consistent across the organization 5. Establish automated checks and regular monitoring processes to diligently track progress and maintain high standards Its not follow the above as in immediately, it would take time to implement

- Tailor indexes to the most frequently executed queries. - Balance the need for indexes with the impact on write operations and storage. - Most databases provide tools to collect and analyze index statistics. Use these to understand index usage and efficiency. - Apply check constraints to enforce valid data ranges and formats. - Monitor performance metrics related to index usage, such as index seek, scan, and lookup operations. - Document your indexing strategies and decisions.