How would you describe the volume and diversity of data your organization collects?

Minimal — mostly spreadsheets and siloed files Moderate — some structured databases, limited integration Substantial — multiple data sources with partial integration Extensive — unified data lake/warehouse, real-time streaming

What is the overall quality and consistency of your data?

Poor — significant errors, duplicates, missing values Fair — cleaned for specific projects but not systematically Good — regular quality checks, documented standards Excellent — automated pipelines, monitored data quality SLAs

How accessible is your data for analytics and AI projects?

Very limited — requires manual extraction, IT tickets Limited — some self-service tools for technical users only Good — business users can access via BI tools Excellent — API-first, real-time access, governed catalog

AI Readiness Assessment

Your Organization