AI Hackathon S4 E4 UC6 - Automated variance analysis and dynamic Dashboard - CA. Jagjeet Singh

This video demonstrates how AI-powered automation, combined with Business Intelligence tools like Power BI, can transform manual, error-prone variance analysis into an efficient, scalable process. The solution automates the reconciliation of fragmented financial data from multiple sources (such as SAP systems) by collecting inputs like trial balances and budgets, designing blueprints with proper mappings, developing M code and DAX measures for Power BI, and implementing validation loops. Key AI applications include using Claude and Chat GPT for code generation and logic validation, which significantly reduces development time while ensuring accuracy. The resulting dynamic dashboard enables real-time variance analysis with drill-down capabilities, color-coded indicators, and interactive visualizations (including waterfall charts) that update automatically as input data changes. This approach provides faster, more accurate reporting with consistent linkage between data elements, enabling CA professionals to deliver reliable insights to stakeholders within compressed timelines.