Poor data architecture has a measurable cost.
Do you know it?
Connect your PostgreSQL database and get a diagnostic annual exposure range for what poor data architecture is costing you. No install. No production data values are stored. Typically results in minutes.
How it works
Connect
Enter your PostgreSQL credentials. Schaaq runs metadata-only diagnostic checks through the hosted app; no production data values are stored.
Scan
Our engine analyses your schema across seven diagnostic areas: structural integrity, temporal coherence, semantic clarity, and more.
Quantify
Get a diagnostic annual exposure range for poor data architecture — with severity breakdown and remediation priorities.
Seven diagnostic areas
Every scan covers seven categories of data architecture quality.
Structural Integrity
Schema design, normalisation patterns, referential integrity, and the core structure that keeps operational data reliable.
Temporal Coherence
Timestamp consistency, timezone handling, audit trails, and whether records can be ordered and explained over time.
Semantic Clarity
Naming conventions, documentation quality, and whether the meaning of fields remains consistent across systems.
Ontological Consistency
Entity classification, relationship modelling, domain boundaries, and whether business objects are represented cleanly.
Volumetric Health
Table sizing, growth patterns, archival practices, and signals that operational scale is creating hidden friction.
Freshness & Currency
Data staleness, update frequency, pipeline health, and whether critical records reflect the current operating state.
Cross-System Alignment
Integration quality, format consistency, ETL health, and whether systems preserve meaning when data moves between them.
Sector focus
Built for complex operating environments.
Mining & Resources, ESG & Sustainability, and Energy & Utilities — with sector-specific diagnostic benchmarks.
Ready to quantify?
Connect your database. Get a diagnostic annual exposure range. Typically results in minutes, zero install.