CASE STUDY Detail

BI & Analytics Platform to Improve ADY% and Reduce Scrap in Telecom Manufacturing

Industry
Manufacturing
Technologies
Azure Machine Learning
capabilites
AI and Advanced Analytics

Business Impact

200% Improvement in Model Execution Performance

Enhanced ADY% and Scrap Reduction

Integrated Reporting with Real-Time Dashboards

Always-On Platform Support

Table of Contents

Business Objective / Goal

To minimize scrap (initially at 21%) and enhance ADY% (production efficiency initially at 79%) using a consolidated BI & analytics platform with integrated ML models, real-time reporting, and on-demand data availability.

Solutions & Implementation

  • Built a scalable analytics platform capable of deploying, refreshing, and maintaining machine learning models within 4 hours.
  • Implemented collaborative BI dashboards and reports to validate business KPIs using Power BI and PowerPivot.
  • Integrated the BI platform with SAP and other enterprise systems for seamless data flow.
  • Enabled real-time data availability for accurate decision-making across production operations.
  • Established a dedicated Dev/Support team for platform management and continuous enhancement.

Major Technologies Used

  • Azure Machine Learning – For model training and deployment
  • Azure Cloud + Azure SQL Server – For data hosting and processing
  • Power BI, Power Query, PowerPivot – For dashboarding and report visualization
  • Python – For scripting and ML algorithm execution
  • Visual Studio Team Services – For versioning and collaboration

Business Outcomes

  • 200% Improvement in Model Execution Performance Reduced execution time from 8 hours to 4 hours through optimized BI and ML model integration.
  • Enhanced ADY% and Scrap Reduction  Analytics-driven optimization led to improved production efficiency and scrap minimization.
  • Integrated Reporting with Real-Time Dashboards  Enabled collaborative BI dashboards and reports across departments with dynamic KPIs.
  • Always-On Platform Support  24x7 platform management allowed continuous improvement cycles and new development flexibility.

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