The Challenge

A global food & facilities management leader achieved 78% faster data processing and unified operations across 34 countries through a comprehensive data intelligence transformation. The global hospitality leader faced fragmented data systems that hindered decision-making and operational efficiency across their diverse service portfolio. ACI Infotech implemented an integrated solution using Informatica IICS and IDMC for cloud-based data integration, seamlessly connecting Microsoft Dynamics 365, NexTep, and Retail Ranger platforms. This approach created a single source of truth for real-time analytics across food services, facilities management, and corporate services operations. The transformation delivered $2.3 million in annual cost savings through automated reporting processes and reduced data redundancy by 65%. Processing times for critical business reports dropped from hours to minutes, enabling faster strategic decisions. Today, the client leverages unified data intelligence to optimize resource allocation, improve customer satisfaction scores by 23%, and maintain competitive advantage in the global hospitality market through data-driven operational excellence.

Results Delivered

Technology Stack

The Challenge

The client’s Nutrition division, a multi-billion dollar consumer packaged goods operation, faced critical data accessibility barriers that were undermining strategic decision-making in an increasingly competitive market. Consumer preferences shift weekly in CPG categories, making real-time intelligence essential for maintaining market position and optimizing shelf space allocation. What Were the Core Data Access Challenges? Reporting bottlenecks were creating strategic blind spots for brand managers responsible for million-dollar market decisions. Campaign performance analysis across regions required submitting formal requests to central analytics teams, while quarter-over-quarter sales mix comparisons meant waiting for IT departments to build custom dashboards. Competitive intelligence investigations depended entirely on data team availability and bandwidth. Legacy systems were costing weeks in delayed market response time. Each analytics request involved multiple touchpoints: explaining requirements to intermediaries, waiting days or weeks for delivery, then discovering reports failed to address the original business question. Data silos meant strategic decisions took weeks instead of hours, as analysts lacking market context delivered incomplete intelligence. Without real-time data access capabilities, brand managers were making strategic decisions on stale information or instinct alone. This accessibility bottleneck represented a strategic liability in fast-moving consumer categories where competitive moments pass quickly and market intelligence determines success or failure.

Results Delivered

Technology Stack

The Challenge

The Challenge: When Financial Intelligence Systems Can't Keep Pace Financial services companies face unprecedented pressure to deliver real-time insights to clients while maintaining operational efficiency. For the client, a global leader providing investment intelligence to the world's largest institutions, their own financial intelligence platform had become a critical constraint on business growth. Trapped by Technical Debt and Extended Close Cycles The client’s finance teams were locked into a 10-day month-end close cycle, not due to business complexity but because their SAP ECC and BPC infrastructure couldn't match operational demands. Month after month, allocation runs consumed hours to complete while manual reconciliations absorbed days of senior analyst time. Finance leadership found themselves making strategic decisions based on data that was already outdated by the time it reached executive dashboards. Legacy Architecture Driving Real Business Costs The technical debt was substantial: outdated SAP BPC and BW versions, over 72 custom allocation logics built across multiple years that teams hesitated to modify, inadequate security controls that failed to properly segregate duties, and an inflexible architecture where simple reporting changes required multi-week implementation cycles. More critically, finance operations couldn't operate at the velocity the business demanded, creating a competitive disadvantage for a company advising clients on investment intelligence while struggling with their own financial data processing capabilities.

Results Delivered

Technology Stack

The Challenge

What Challenges Did the Client Face with Legacy Data Systems? Retail fuel and convenience store companies face intense pressure to optimize operations across hundreds of locations while maintaining razor-thin profit margins. The client, operating over 800 locations across the Southeast, needed real-time visibility into performance metrics that legacy systems simply could not provide. Fragmented Data Created Decision-Making Delays The client's existing data infrastructure consisted of disconnected point-of-sale systems, inventory management platforms, and operational databases. Data silos meant critical business decisions took 3 to 5 days instead of hours, preventing rapid response to fuel price fluctuations and inventory shortages. Without integrated analytics, store managers lacked visibility into performance patterns that could drive revenue optimization. Manual Reporting Processes Cost $200K Annually Legacy systems required 15 hours per week of manual data compilation across regional teams. This manual effort was costing the company approximately $200,000 annually in labor while creating opportunities for human error in critical financial reporting. Competitive Disadvantage in Dynamic Fuel Markets Without real-time data analytics capabilities, the client struggled to respond quickly to competitor pricing changes and optimize fuel margins. Based on our experience with 80+ retail deployments, companies typically lose 2 to 4% in potential fuel margin revenue when operating with delayed pricing intelligence.

Results Delivered

Technology Stack