
Fragmented data across business units with no central storage, and manual report generation and data validation
Limited analytics and scalability due to storage constraints
Our engineers worked alongside the client’s IT and operations teams across a four-phase implementation — from data migration and ETL setup to dashboarding and predictive modeling.
The client now benefits from seamless data integration, faster analytics turnaround, and improved decision-making speed—unlocking long-term operational efficiency and revenue optimization.
With a modern, scalable Azure data stack, the company is positioned to expand AI/ML use cases across forecasting, quality assurance, and supply chain intelligence.
"Entrans’ data modernization solutions transformed how we utilize data, enabling us to drive business growth through advanced analytics and reporting."
— CTO, Leading Food Processing and Supply Chain Company
Centralized platform eliminated data silos across departments

Real-time dashboards and predictive insights enabled faster, more accurate decisions and improved supply chain planning

Automation reduced manual reporting workload and minimized errors


