This repository contains curated examples and patterns focused on automating analytics workflows and enabling scalable decision support using automation and AI-assisted techniques.
The emphasis is on reducing manual effort, improving consistency, and ensuring that insights are delivered reliably and on time.
- Automated reporting and refresh workflows
- Alerting and monitoring for key metrics
- AI-assisted insight generation and summarization
- Scalable patterns for analytics operations
- Automation serves decision-making, not novelty
- AI is used to augment analytics, not replace reasoning
- Focus on reliability, transparency, and control
Each example is organized as a self-contained project under /projects.
Start with the README inside each project folder to understand the automation
logic, decision impact, and operational considerations.