Case Study
Modernizing Manufacturing Data and Analytics for a Leading Agricultural & Logistics Company
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Boost in Customer Satisfaction
About the Client
A prominent agricultural and logistics company delivering sugarcane, fresh vegetables, and citrus products through vertically integrated operations and regional rail transportation. Facing challenges with legacy infrastructure, limited scalability, data continuity risks, and difficulty converting high-speed historian data into business insights, the client partnered with ITHENA. The outcome was a modern, secure data architecture with seamless historian integration, advanced analytics, and centralized reporting—enabling faster access to production insights, reliable OEE metrics, improved decision-making, and scalable operations across the enterprise.
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Boost in Customer Satisfaction
ITHENA’s expertise in modernizing our data architecture has transformed how we access and trust our production data. With faster insights, reliable OEE metrics, and a scalable reporting foundation, our teams can make confident, data-driven decisions across operations.
Director of Operations
Director of Operations
Opportunity for Impact
Faster access to production insights
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Reduction in manual reporting effort
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Higher reliability of OEE
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Key Challenges Faced
- Legacy Wonderware infrastructure limiting scalability and long-term performance
- Difficulty bridging high-speed historian data with business reporting requirements
- Risk of data discontinuity while migrating to a modern technology stack
- Complex, compressed time-series data that was difficult to consume for management insights
- Limited access to long-term historical trends and advanced analytics for operations and leadership teams
Our Solution
ITHENA, in partnership with Ignition, empowered the client with:
Legacy Infrastructure Modernization
Migrated the Savannah Plant from a legacy Wonderware setup to a scalable Rockwell Automation environment
Data Continuity & System Re-Wiring
Re-engineered existing applications, including SugmanOEE, to integrate with Microsoft SQL Server 2025 without loss of historical logic
Historian-to-SQL Processing Pipeline
Built a processing pipeline to convert high-speed historian data into structured SQL tables for reporting
Advanced Analytics & KPI Enablement
Developed SQL logic to generate KPIs such as Daily Yield, OEE, and cost-per-ton metrics