Scalable Cloud Analytics Infrastructure for Real-Time Insights
Scalable Cloud Analytics Infrastructure for Real-Time Insights
Overview
Euvic partnered with a leading enterprise to overhaul its analytics infrastructure, transitioning from on-premise systems to a scalable, high-performance cloud solution. This enabled the client to handle large datasets and deliver real-time, actionable insights for decision-making.
Client
A global organization with operations spanning multiple regions, focused on enhancing analytics capabilities to drive business decisions.
Industry
Technology and Analytics
Country
Finland
Background
Challenge
The client faced several pressing challenges:
- Scalability limitations: The rapidly growing data warehouse exceeded the capabilities of the existing on-premise infrastructure.
- Performance bottlenecks: Slow data processing impacted the timeliness of insights.
- Transition requirements: The need to migrate to a cloud-based solution while minimizing disruptions.



Solution
Euvic delivered a comprehensive solution to address these issues:
- Cloud migration: Transitioned the client’s data warehouse to Azure, improving system scalability and performance.
- Data integration: Streamlined data extraction and transformation using Azure Data Factory.
- Advanced reporting: Developed a semantic model with Azure Analysis Services to enable efficient and detailed reporting.
Technology Overview
Technology
Microsoft Fabric
Power BI

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Technology




The Dream Team
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Results
The project delivered significant business-specific benefits:
- Improved scalability: Seamlessly handled large datasets, enabling future growth.
- Enhanced performance: Reduced time-to-insight, accelerating business decisions.
- Cost optimization: Lowered operational costs with a more efficient cloud infrastructure.
- Real-time analytics: Provided timely insights to support critical decision-making processes.