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The client, a multinational consumer goods company, used a centralized business intelligence (BI) solution to process and analyze electronic point-of-sale (ePOS) data from several dozen different sources. Each week, the system processed over 40,000 reporting workflows. However, as the volume of ePOS data grew, the underlying infrastructure-as-a-service (IaaS) architecture struggled to handle it at scale. The FMCG company experienced data ingestion delays, inconsistent validation processes, and lagging report generation, which hampered decision-making across all business units. Furthermore, the system's lack of AI capabilities prevented the client from identifying trends and predictive insights from their data. To address these limitations, the company sought to transition its analytics ecosystem to a more scalable, AI-enabled platform built on Microsoft Azure. That's when they approached ITRex.
Tell us about your challenges, and we’ll come up with a viable solution!
