Three diagnostic questions reveal whether your data architecture is ready to support AI — or whether you're about to build on a cracked foundation.
⏱ 5 minutes
Question 01 of 03
Have your critical data sources experienced schema drift for three or more years?
Schema drift happens when columns get added, renamed, or repurposed over time without formal governance. After three years it compounds — and AI can't learn from a moving target.
Question 02 of 03
Do basic business questions take longer than five seconds to answer?
Query latency is a proxy for architectural health. If business questions require ETL runs, data team intervention, or manual joins, your gold layer isn't working for you.
Question 03 of 03
Are your data teams spending more than 50% of their time on ETL instead of analysis?
When your best data minds are plumbers, you're not doing data work — you're doing data maintenance. AI amplifies analysis; it can't rescue teams trapped in pipeline work.
—
out of 3 critical issues flagged
Have your critical data sources experienced schema drift for 3+ years? Persistent schema changes lead to inconsistencies and AI comprehension failures.
Yes
Partially
No
Do basic business questions take longer than 5 seconds to answer? Slow response times signal infrastructure or governance problems.
Yes
Mixed
No
Are your data teams spending more than 50% of their time on ETL instead of actual analysis? A disproportionate ETL burden signals infrastructure debt.
Yes
~50/50
No
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out of 3 critical issues flagged
Executive Assessment Tool
CTO Data Readiness Audit
Complete honestly. One checkmark per question. Score at the bottom. 5 minutes.
Assessment Questions
1. Schema Drift
Have your critical data sources experienced schema drift for 3 or more years?
YES
NO
2. Query Response Time
Do basic business questions take longer than 5 seconds to answer?
YES
NO
3. ETL Burden
Are data teams spending more than 50% of their time on ETL vs. analysis?
YES
NO
Scoring Guide
3 / 3
Critical Data Debt
Immediate action required. Begin Week 1 of the readiness protocol without delay.
2 / 3
Data Debt Increasing
Begin protocol within 30 days to prevent further deterioration.
1 / 3
Act Now
Address issues before they compound. Start the 4-Week Action Path.
4-Week Action Path (Brief)
Week 1 — Discovery · Identify 5 critical data sources. Collect 2-year samples. List 3 unanswered questions per source. Run AI schema analysis.
Week 2 — Target Design · Define business rules, latency needs, governance. Have AI propose normalized schema + Medallion architecture. Challenge every AI assertion about data relationships.
Weeks 3–4 — Pilot Transformation · Select pilot data source. Run transformation through Bronze → Silver → Gold layers. Validate with real users against defined success metrics.