Context
Business partners required regular pricing and spend analysis across multiple product lines.
Problem
Quarterly reports were manually assembled from multiple data sources, creating delays and errors.
Constraints
Reporting logic varied by customer type and pricing structure.
Scope
Service owner responsible for financial reporting automation.
Strategy
Abstract report generation into a configurable service decoupled from data sources.
Architecture
Created a reporting service that queries BigQuery, applies business rules, and generates standardized outputs.
Impact
Reports were delivered consistently on schedule with reduced manual effort.
Effects
Internal teams shifted focus from report assembly to analysis and interpretation.
Artifacts
Key Insights
Automating reporting surfaces inconsistencies that were previously hidden by manual processes.