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Outdated systems causing slow data processing (3x slower than required), high maintenance costs, inconsistent data verification processes, and inability to scale with growing data volumes. Legacy architecture hindered real-time analytics and cross-team data collaboration.
Leading market research firm requiring scalable data processing infrastructure
Projected 300% improvement in data processing speed and 34% reduction in maintenance costs will enable faster client reporting, improved regulatory compliance, and capacity to handle 5x larger datasets. Enhanced data quality verification will reduce operational risks while improved modifiability supports rapid adaptation to evolving market research requirements.