Evaluate organizational data maturity and email HTML reports with Postgres
Overview This workflow automates data maturity evaluation to measure how well an organization uses data to create value by capturing assessment data through forms or APIs, processing and scoring responses using n8n lo...
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Overview
This workflow automates data maturity evaluation to measure how well an organization uses data to create value by capturing assessment data through forms or APIs, processing and scoring responses using n8n logic and transformation nodes, and evaluating six critical data maturity domains. It generates a structured maturity report with clear, actionable feedback and visualized HTML/CSS results that stakeholders can use to prioritize improvements.
Why this matters
Organizations that measure data maturity can:
- Identify gaps between current practice and business goals. - Prioritize investments where they deliver the most value. - Track progress over time with repeatable metrics. - Improve compliance, trust, and decision-making quality.
What to measure
The assessment covers six core dimensions:
DataStrategyGovernance Alignment of data strategy with business goals, governance frameworks, roles, and policies.