High costs from inefficient data storage and transformation workflows, and long query times delaying business intelligence reporting
Difficulty integrating data from multiple ERP and PoS sources, and limited real-time insight into operations due to system latency
Entrans implemented a cloud-native, AWS-based data engineering platform designed for real-time performance and cost efficiency. The solution focused on automating data integration, transformation, and querying across multiple source systems.
Our teams worked closely with the client’s IT and BI stakeholders across a three-phase execution roadmap—from architecture design to transformation workflows and full-scale deployment.
The client now operates on a centralized, real-time data platform with reduced infrastructure overhead. With fast, reliable insights, business teams can respond quickly to trends and opportunities.
With scalable cloud infrastructure and real-time querying in place, the organization is now positioned to roll out predictive analytics, AI-driven dashboards, and enterprise-wide data products.
50% reduction in query time — from minutes to milliseconds
Seamless data integration across PoS, ERP, and external sources, with enhanced data accessibility through indexed and curated datasets
Cost savings achieved through pay-per-use compute and storage
