Database Audit & Optimization
Databases accumulate problems over time — slow queries, structural debt, data inconsistencies, duplicated records. Most organizations only notice when something breaks or performance becomes unacceptable. We audit databases proactively: find what is wrong, explain why, and deliver a concrete plan to fix it.
How database problems compound
Database issues rarely appear all at once. They build up incrementally — a missing index here, a denormalized shortcut there — until the system is slow, fragile, and full of data you cannot fully trust.
Performance that degrades gradually
Queries that ran in milliseconds with a small dataset take seconds as data grows. Missing indexes, unoptimized joins, and table scans that worked in development become blockers in production. By the time users complain, the problem has usually been there for months.
Data you cannot trust
Duplicate records, inconsistent values, orphaned foreign keys, and fields that mean different things in different contexts accumulate silently. Reporting on this data produces unreliable results. Migrating it to a new system requires expensive cleanup work.
Schema that has outgrown its design
Schemas designed for an earlier version of the application accumulate structural debt: tables added for one-off requirements, columns that are never populated, normalization shortcuts that create update anomalies. Every new feature becomes harder to build correctly.
How we help
We audit what you have, document what is wrong, and deliver recommendations your team can act on — with priority ordering so the most impactful fixes come first.
Schema Review and Optimization
We analyze your database schema against normalization best practices, constraint design, index coverage, and data type choices. We identify structural problems — missing constraints, redundant tables, poor normalization, columns used in ways they were not designed for — and deliver specific recommendations for each issue, with estimated impact on performance and maintainability.
Query Performance Analysis
We analyze slow query logs, run explain plans on the worst offenders, and identify the root cause of each performance problem: missing indexes, full table scans, N+1 query patterns, inefficient joins, or queries that simply need to be rewritten. We deliver an ordered list of query optimizations with before/after estimates and the index or rewrite recommendation for each.
Data Quality Audit
We run a systematic data quality assessment across your database: duplicate records, inconsistent values for the same concept, fields with unexpected null rates, orphaned records, referential integrity violations, and data that does not conform to its own domain rules. We document each finding with row counts and example records so the scope of each issue is clear.
Data Cleanup and Remediation
After the audit, we can execute the cleanup. We design and run scripts to deduplicate records, resolve inconsistencies, enforce missing constraints, and bring the data into a consistent state. All cleanup scripts are version-controlled, reversible, and run against a staging environment first with a verification report before touching production.
Custom Report Design
We design and implement reports based on your specific database and business questions — operational dashboards, clinical indicators, audit trails, usage statistics, or any recurring query your team currently runs manually. We deliver documented SQL or stored procedures that are easy to schedule, modify, and hand over to your team.
Monitoring and Alerting Recommendations
We define the metrics worth watching — slow query thresholds, table growth rates, replication lag, index fragmentation, connection pool saturation — and recommend the monitoring setup that catches problems before users do. We configure the alerting rules and hand them off with documentation your operations team can own.
Do you have any questions?
Let us know how we can help you.