Manufacturing Analytics Solution Improves Production Visibility, Operational Efficiency, and Inventory Management

DiLytics implemented a centralized manufacturing analytics platform that integrated production, inventory, and planning data to provide real-time visibility into manufacturing performance, material utilization, inventory health, and operational efficiency.

13

Manufacturing analytics subject areas delivered 

2

Manufacturing and planning systems integrated into a unified analytics platform 

4

Manufacturing domains enabled through centralized analytics 

Executive Summary

A leading biotechnology company requires improved visibility into manufacturing operations to support production optimization, inventory management, material utilization, and operational efficiency initiatives. Existing analytics capabilities provided limited insight into manufacturing performance, making it difficult to identify bottlenecks, monitor inventory health, and evaluate production effectiveness. 

DiLytics implemented a Manufacturing Analytics solution based on Oracle Manufacturing Analytics, integrating Oracle EBS and Oracle ASCP data into a centralized reporting and analytics platform. The solution delivered analytics capabilities spanning production performance, material utilization, inventory management, manufacturing costs, and operational efficiency. 

The implementation improved visibility into manufacturing operations, enabled proactive identification of process improvement opportunities, strengthened cross-functional alignment, increased operational efficiency, and reduced manual reporting effort across manufacturing teams. 

A global biotechnology company needed better visibility into manufacturing operations to improve production performance and inventory management. DiLytics implemented a centralized manufacturing analytics platform that integrated Oracle EBS and Oracle ASCP data, delivering real-time dashboards, KPIs, and operational reporting. The solution improved manufacturing visibility, reduced reporting effort, and enabled faster, data-driven operational decisions.

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Client Overview

The client is a global biopharmaceutical organization specializing in innovative therapies for rare genetic diseases, with a strong focus on research, development, and commercialization. The companyoperates across multiple international markets and is supported by a large, specialized workforce driving end-to-end healthcare innovation.

Overcoming Limited Visibility and Inefficient Manufacturing Reporting

While the organization had established analytics capabilities across finance and supply chain functions, manufacturing teams lacked a centralized view of production operations, inventory health, material consumption, and operational performance. The absence of standardized manufacturing analytics made it difficult to identify bottlenecks, monitor key metrics, and drive continuous operational improvement. 

Production Performance Monitoring

Production Performance Monitoring

Limited visibility into production quantities, work orders, batch processing performance, and production timelines

Material Usage Tracking

Material Usage Tracking

Difficulty monitoring material consumption, usage variances, scrap levels, and bill-of-material performance

Inventory Health Management

Inventory Health Management

Lack of timely insight into inventory aging, stock-outs, inventory expiration, and inventory adjustments

Manufacturing Cost Visibility

Manufacturing Cost Visibility

Challenges analyzing cost variances, resource utilization, batch cycle times, and operational efficiency metrics

Overcoming Limited Visibility and Inefficient Manufacturing Reporting

Lack of Manufacturing Data Visibility

Lack of Manufacturing Data Visibility

No consolidated view of production operations and manufacturing performance

Inability to Identify Bottlenecks

Inability to Identify Bottlenecks

Limited insights into process inefficiencies and production constraints

Fragmented Operational Insights

Fragmented Operational Insights

Manufacturing data was not integrated with enterprise analytics systems

Limited Real-Time Monitoring

Limited Real-Time Monitoring

Absence of timely dashboards and alerts for manufacturing performance issues

Manufacturing Analytics Implementation Improved Operational Visibility and Process Efficiency

DiLytics partnered with the client to implement a Manufacturing Analytics solution based on Oracle Manufacturing Analytics. The solution integrated manufacturing, inventory, planning, and operational data from Oracle E-Business Suite (EBS) and Oracle Advanced Supply Chain Planning (ASCP) into a centralized analytics platform, delivering dashboards, KPIs, alerts, and operational reporting capabilities for manufacturing leadership and plant operations teams.

Services Provided
  • Installed, configured, and deployed Oracle Manufacturing Analytics  
  • Conducted discovery sessions and manufacturing analytics requirements workshops  
  • Performed detailed design, development, testing, and deployment activities  
  • Integrated manufacturing, inventory, and planning data into the analytics environment  
  • Developed dashboards, reports, alerts, and KPI monitoring capabilities  
  • Conducted user testing, training, knowledge transfer, and rollout activities  
  • Supported phased expansion of analytics capabilities to address evolving business requirements  
Business Solution

The solution delivered analytics capabilities across four major manufacturing areas: 

  • Production Performance Analytics: Providing visibility into production batch transactions, routing details, work order status, production quantities, on-time and late production performance   
  • Material Utilization Analytics: Providing visibility into material usage variance, material transactions, indented bill of materials, where-used analysis, scrap monitoring   
  • Inventory Analytics: Providing visibility into real-time inventory, inventory aging, inventory expiration, inventory adjustments, zero stock and stock-out conditions   
  • Manufacturing Cost & Efficiency Analytics: Providing visibility into planned versus actual costs, cost variances, resource utilization, batch aging, batch cycle time performance  
Technical Solution
  • Integrated manufacturing and planning data from Oracle EBS and Oracle ASCP  
  • Leveraged Oracle Manufacturing Analytics and Oracle Business Analytics Warehouse  
  • Implemented Informatica ETL processes for automated data integration  
  • Developed Oracle Analytics dashboards, reports, KPIs, alerts, and drill-down analytics  
  • Enabled real-time and historical visibility into manufacturing performance  
  • Established a scalable analytics framework supporting future manufacturing reporting requirements 

Driving Operational Excellence Through Manufacturing Analytics

The manufacturing analytics platform enabled teams to monitor production performance, inventory health, material utilization, and cost efficiency through trusted, real-time insights, improving operational effectiveness across manufacturing functions. 

Enhanced Production Visibility

Provided real-time insight into production activities, batch performance, work orders, and manufacturing operations

Improved Inventory Management

Enabled proactive monitoring of inventory levels, aging inventory, stock-outs, and expiration risks

Better Material Utilization

Improved tracking of material consumption, usage variances, scrap levels, and resource efficiency

Faster Issue Identification

Enabled early detection of bottlenecks, exceptions, and operational performance issues through automated alerts and KPI monitoring

Reduced Manual Reporting Effort

Automated manufacturing reporting processes and reduced time spent gathering and analyzing operational data

Stronger Cross-Functional Alignment

Standardized manufacturing metrics and reporting across operations, inventory, planning, and supply chain teams

Tech Stack Summary

The solution integrated manufacturing, inventory, and planning data into a centralized analytics environment using Oracle’s analytics ecosystem and Informatica-powered data integration processes to deliver scalable manufacturing reporting and operational intelligence.

Data Sources
Data Integration
Data Warehouse
Data Visualization

Optimize Manufacturing Performance with Smarter Analytics 

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