Cloud data platform / warehouse with separate compute & storage Centralized database on-prem or single VM in the cloud Inside reporting tools and spreadsheets N/A / Not sure

2) If your data volume doubles, what happens?

Platform auto-scales (no manual intervention) We’d plan/perform an infrastructure upgrade Reports slow down or break N/A / Not sure

3) Do you have performance/reliability targets for analytics?

Documented SLAs/SLOs with monitoring & alerting Informal expectations (we notice when it’s slow) No performance targets N/A / Not sure

4) Is there a single, governed source of truth for key metrics?

Yes — centralized model/semantic layer + shared definitions Partly — some definitions exist, not consistently used No — multiple versions of the truth across teams N/A / Not sure

5) How do you monitor data quality?

Automated tests with alerting (freshness, schema, values) Manual checks or spot validations No formal checks N/A / Not sure

6) Lineage, ownership & documentation?

End-to-end lineage, clear owners, up-to-date docs Some docs; ownership not always clear Not tracked / not documented N/A / Not sure

7) How are data pipelines built and orchestrated?

Managed pipelines with version control & orchestration Scheduled scripts/ELT jobs without central orchestration Manual exports/uploads N/A / Not sure

8) Data freshness to dashboards/reports?

Near real-time/hourly where needed, with SLAs Daily or batch a few times/week Ad-hoc/whenever someone updates it N/A / Not sure

9) Engineering practices for analytics (Dev/Test/Prod, CI/CD)?

Git workflows, environments, code reviews & automated tests Basic dev/prod separation; manual promotion Changes go straight to production N/A / Not sure

10) How is access to sensitive data controlled?

SSO + role-based access with row/column-level rules Role-based in reporting tools only Shared logins or broad access N/A / Not sure

11) Secure remote access to analytics? (simple networking check)

Secure cloud access / zero-trust; least-privilege network rules VPN required to reach internal systems Only usable on the office network N/A / Not sure

12) Protection & recovery of analytics data?

Automated backups + regular restore testing & RPO/RTO targets Backups exist but restore rarely/never tested No formal backup/restore plan N/A / Not sure

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