The Data Classifier
Description
Automatically identifies sensitive, regulated, and business-critical data by recognizing PII, PHI, financial, and custom categories, then applies classifications and governance policies.
Details
This workflow automates the identification and classification of sensitive data by combining metadata analysis, lineage intelligence, structural validation, and criticality scoring. It enables organizations to prioritize governance efforts, improve compliance, and gain visibility into PII, PHI, and financial data across enterprise connections.
Business value
- Automatically identifies sensitive data assets requiring governance.
- Prioritizes critical tables using impact, lineage, and risk scoring.
- Supports compliance initiatives through PII, PHI, and Financial data discovery.
- Provides governance-ready reports and visual summaries for decision making.
Who benefits
- Data Governance Teams
- Privacy and Compliance Officers
- Data Stewards
- Enterprise Data Architects
What you receive
How the recipe works (guided flow)
Step 1 — Baseline Importance Selection
Collects core table metadata and importance scores to establish the starting dataset.
Step 2 — Recursive Downstream Impact Amplification
Traverses downstream lineage to measure report impact and amplify business importance scores.
Step 3 — Multi-Factor Structural Classification
Categorizes tables using row volume, relationship density, and naming conventions.
Step 4 — Comprehensive Sensitive Data (PII) Discovery
Scans metadata using an extensive keyword library to identify potential PII-containing tables.
Step 5 — Final Criticality Scoring & Governance Prioritization
Calculates criticality scores and assigns governance buckets for prioritized remediation.
Step 6 — PII Column Extraction
Creates a focused dataset of columns belonging to critical tables containing sensitive information.
Step 7 — Sensitive Data Classification
Classifies columns into PII, PHI, Financial, and Custom categories using metadata analysis.
Step 8 — Metadata Enrichment
Enriches classified columns with connection, schema, and table metadata for business context.
Step 9 — PII Distribution Visualization
Generates a connection-level visualization showing the distribution of PII columns.
Step 10 — PHI Distribution Visualization
Summarizes protected health information across enterprise connections.
Step 11 — Financial Data Visualization
Produces connection-level insights into detected financial data elements.
Step 12 — Sensitive Data Summary Dashboard
Creates comparative visualizations of PII, PHI, and Financial data distributions across all connections.
Sample insights (illustrative)
| Insight Category | What the recipe discovered | Business Impact |
|---|---|---|
| Critical Assets | High-impact tables with elevated governance priority were identified. | Enables focused governance and audit planning. |
| Sensitive Data Discovery | PII, PHI, and Financial data elements were detected across enterprise datasets. | Improves compliance readiness and risk management. |
| Governance Analytics | Connection-level dashboards revealed sensitive data distribution trends. | Supports executive reporting and governance decision making. |
Make sure the following ingredients are available in your workspace:
- Connected datasets are crawled and profiled
- Columns have distinct counts and top values generated