ISO/IEC 9075
SQL discipline for AI-ready enterprise systems
ISO/IEC 9075 is the international standard for SQL — the structured query language used in relational database systems. In AI-enabled platforms, data quality is everything.
Why it matters
The database is the heart of the platform.
If the database is poorly designed, the whole system suffers — duplicate data, inconsistent records, weak reporting, difficult integrations, slow performance, poor audit trails, complicated future changes, vendor lock-in, weak governance, and bad AI outputs.
For AI-enabled systems, data quality is even more important. AI agents, analytics, dashboards, reports, and automation all depend on clean, structured, traceable, well-designed data.
What I research
SQL discipline applied to enterprise data.
- Relational data modelling
- Data types & constraints
- Schema design
- Query structure
- Transaction handling
- Views & stored logic
- Database portability
- Reporting queries
- Audit data
- Reference data
- Metadata
- Data governance
Outcome
Not only functional at the screen level — strong at the data level.
ISO/IEC 9075 thinking supports database architecture, API data design, reporting structures, business intelligence, AI-ready data preparation, validation, integration mapping, auditability, and long-term maintainability.
A good system must not only capture data. It must preserve meaning, relationships, history, quality, and traceability.
Build platforms on data your AI agents can trust.
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