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Existing legacy data management system and Excel-based workflows struggled with processing dozens of millions of records, causing excessive time consumption (hours for data processing/reporting), manual effort bottlenecks, and inability to scale with growing data volumes and complex reporting requirements.
Energy system modeling and consulting service vendor specializing in sustainable energy strategies for firms and government institutions
Expected outcomes include 80-90% reduction in data processing time, 70% faster report generation cycles, 50% decrease in manual data handling efforts, and scalable infrastructure supporting 5x current data volumes while maintaining performance. The solution will enable real-time data-driven decision making and improve client deliverable quality through interactive visualization capabilities.