Operational Insight Dashboard
LLM-powered analytics identifying root causes in 10,000+ incident reports
The Challenge
The operations team collected 10,000+ incident reports monthly, but extracting patterns required manual review. By the time trends were identified, problems had persisted for months.
Existing analytics could count keywords but couldn't understand the "why" behind operational issues. Teams were reactive, not proactive.
Critical patterns were hiding in plain sight, buried in unstructured text that traditional tools couldn't parse.
“We had all the data we needed, but no way to see what it was telling us.”
Our Solution
We developed an LLM-powered analytics dashboard that automatically analyzes incident reports, identifies patterns, and suggests root causes in real-time.
The system doesn't just count keywords; it understands context and connects related issues across time and departments.
Interactive visualizations make complex patterns immediately understandable.
- Automatic pattern detection across 10,000+ reports
- Root cause analysis with confidence scoring
- Real-time trend monitoring and alerting
- Interactive drill-down visualizations
- Automated insight summaries for leadership
Implementation
Technical Approach
- Claude API for semantic analysis of incident reports
- Plotly/Dash for interactive visualizations
- PostgreSQL for historical analysis
- Docker deployment for enterprise integration
- REST API for data pipeline integration
Change Management
- Executive sponsorship and alignment
- Pilot with highest-volume incident category
- Training for operations and analytics teams
- Integration with existing reporting workflows
Results & Impact
- First month identified 3 systemic issues that had persisted for years
- Repeat incident rate dropped 70% within two quarters
- Operations team shifted from reactive to proactive mode
- Leadership now has real-time visibility into operational health
