Standardizing and Automating Image Defect Analytics on Azure Cloud and Power BI

The client is a $9.65 billion+ American semiconductor processing equipment manufacturer with over 11,000 employees. To cut costs and increase agility, KPI Partners moved the client off SAP HANA and onto the Azure Cloud, recommended Azure IoT Central for real-time data ingestion, built a data warehouse for structured, semi-structured, and unstructured data, and migrated Qlik Sense and MS Dynamics 365 reporting to Power BI, delivering automated data standardization and Power BI data sources for image defect analysis.

If your organization is wrestling with siloed analytics, rising platform costs, or manual reporting that cannot keep up, the full case study shows how a phased move to the Azure Cloud and Power BI turned image defect data into something teams can act on.