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Ad Hoc Analysis Workflow

Enable data analysts to perform ad-hoc analysis with data access, SQL/Python notebooks, visualization tools, and sharing capabilities.

Complexity: Simple | Duration: 5-15m | Category: Devops

Tags: analytics ad-hoc analysis exploration

Workflow Diagram​

Steps​

Step 1: Tool selection​

Agent: data

analyst - Choose Jupyter, Databricks, Mode, or SQL client

Step 2: Data access​

Agent: data

analyst - Connect to data sources with read-only credentials

Step 3: Exploratory analysis​

Agent: data

analyst - Write SQL queries or Python/R code

Step 4: Visualization​

Agent: data

analyst - Create charts using matplotlib, plotly, seaborn

Step 5: Interpretation​

Agent: data

analyst - Analyze results, identify insights

Step 6: Documentation​

Agent: data

analyst - Document findings, methodology

Step 7: Sharing​

Agent: data

analyst - Export to PDF, share notebook, or present

Step 8: Iteration​

Agent: data

analyst - Refine analysis based on feedback

Usage​

To execute this workflow:

/workflow devops/ad-hoc-analysis-workflow.workflow

See other workflows in this category for related automation patterns.