The inability to natively sync vast OData streams, complicated by pervasive missing values and duplicate records, severely capped the volume of real-time operational insights leadership could trust at once.
Using specialized operations teams for routine data cleaning and manual formatting led to inconsistent reporting standards and spent highly skilled human labor on repetitive, slow data validation tasks.
We architected a robust backend where engineers directly orchestrate automated extractions, pulling extensive OData streams from varied factory systems seamlessly.
The architecture uses an optimized Power BI Datamart environment to consolidate the manufacturing data smoothly, powering centralized storage for global factory operations.
We integrated a unified Power Query framework that automatically transforms raw inputs using the M language, allowing for complex data cleansing like removing duplicates and standardizing formats.
Powered by Microsoft Power BI, the system immediately visualizes complex transitions across operational pillars, including dynamic Safety, Quality, and Maintenance dashboards without latency.
The framework dynamically accounts for advanced operational edges, including conditional performance monitoring and automated KPI tracking, guaranteeing total factory visibility and performance optimization.
100% automated data standardization and integration across 20+ disparate OData endpoints
15+ dynamic, real-time dashboards deployed across Safety, Quality, and Maintenance pillars
85% reduction in manual data processing and routine report generation time
