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Evaluate organizational data maturity and email HTML reports with Postgres

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Evaluate organizational data maturity and email HTML reports with Postgres preview
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1. Workflow Overview

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 re...

Best for

  • Market Research automation workflows
  • AI Summarization automation workflows
  • advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.webhook, n8n-nodes-base.emailsend, n8n-nodes-base.code, n8n-nodes-base.postgres, n8n-nodes-base.merge, n8n-nodes-base.converttofile, n8n-nodes-base.set, n8n-nodes-base.stickynote

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Ahmed Alnaqa.

Original n8n.io source

1.1 Workflow description

Title
Evaluate organizational data maturity and email HTML reports with Postgres
Workflow name
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 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:

Data_Strategy_Governance Alignment of data strategy with business goals, governance frameworks, roles, and policies.

Data_Quality_Integrity Accuracy, completeness, validation, and reliability of data used for reporting and analytics.

Data_Driven_Decision_Intelligence Adoption of analytics, reporting, and decision-support processes (including predictive capabilities).

Data_Management_Operations Operational practices for storage, pipeline reliability, integration, and automation.

Data_Ethics_Privacy Policies and controls for privacy, ethical use, consent, and regulatory compliance.

AI_Maturity_Assessment Maturity of AI adoption: use cases, model governance, monitoring, and operationalization.

Methodology

25 targeted questions designed to cover all six dimensions. Questions are distributed so each dimension is assessed by multiple items (some sections receive 4–5 questions each), ensuring balanced coverage and statistical reliability.

Scoring and levels: Each answer contributes to a numeric score; aggregated scores produce per-dimension averages and an overall maturity level (e.g., Needs Improvement / Good / Excellent).

Deliverables

Per-dimension assessments with clear descriptions and colour-coded styling.

Overall maturity score and recommended next steps.

An HTML email-friendly report that merges template and assessment data for stakeholder distribution.

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Webhook1

Type / Role
n8n-nodes-base.webhook - webhook
Config choices
Version 2

Block 2 - Send Email seek chart wtith overall

Type / Role
n8n-nodes-base.emailSend - emailSend
Config choices
Version 2.1

Block 3 - Calculate & Generate Charts

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 4 - Save Results

Type / Role
n8n-nodes-base.postgres - postgres
Config choices
Version 2.6

Block 5 - Save Form Details

Type / Role
n8n-nodes-base.postgres - postgres
Config choices
Version 2.6

Block 6 - Collect Step

Type / Role
n8n-nodes-base.merge - merge
Config choices
Version 3.1

Block 7 - Collect Ranks

Type / Role
n8n-nodes-base.merge - merge
Config choices
Version 3.1

Block 8 - Rank_Data_Strategy_Governance

Type / Role
n8n-nodes-base.postgres - postgres
Config choices
Version 2.6

Block 9 - Rank_Data_Quality_Integrity

Type / Role
n8n-nodes-base.postgres - postgres
Config choices
Version 2.6

Block 10 - Rank_Data_DrivenDecision_Intelligence

Type / Role
n8n-nodes-base.postgres - postgres
Config choices
Version 2.6

Block 11 - Rank_Data_Management_Operations

Type / Role
n8n-nodes-base.postgres - postgres
Config choices
Version 2.6

Block 12 - Rank_Data_Ethics_Privacy

Type / Role
n8n-nodes-base.postgres - postgres
Config choices
Version 2.6

Block 13 - Rank_AI_Maturity_Assessment

Type / Role
n8n-nodes-base.postgres - postgres
Config choices
Version 2.6

Block 14 - Rank_Overall_Avg

Type / Role
n8n-nodes-base.postgres - postgres
Config choices
Version 2.6

Block 15 - Create HTML FIle

Type / Role
n8n-nodes-base.convertToFile - convertToFile
Config choices
Version 1.1

Block 16 - HTML Body

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 17 - Merge

Type / Role
n8n-nodes-base.merge - merge
Config choices
Version 3.2

Block 18 - DataCollector

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 19 - Sticky Note

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 20 - Sticky Note1

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 21 - Sticky Note3

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 22 - Generate Email styling and Formats

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 23 - Sticky Note5

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 24 - Sticky Note6

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Showing the first 24 of 42 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow Evaluate organizational data maturity and email HTML reports with Postgres
Complexity advanced
Nodes 42
Categories Market Research, AI Summarization
Author Ahmed Alnaqa
Published 24 Jan 2026

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/12963/12963.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Frequently asked questions

What does Evaluate organizational data maturity and email HTML reports with Postgres do?

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 re...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Market Research, AI Summarization use case.