Enhancing Decision-Making with High-Performance Data Warehousing
Enhancing Decision-Making with High-Performance Data Warehousing
Overview
Euvic enabled a leading company to overcome the limitations of their on-premise data warehouse by migrating to Azure and optimizing their reporting capabilities. This transformation provided the scalability and speed needed to handle growing data volumes and deliver actionable insights.
Client
A fast-growing business with a focus on data-driven decision-making. The client sought to modernize its systems to support its expanding operations and increasing demand for real-time analytics.
Industry
Technology Services
Country
Denmark
Background
Challenge
As the client’s operations expanded, they faced new obstacles:
- Scalability issues: Rapid data growth overwhelmed existing on-premise systems, leading to performance bottlenecks.
- Inefficient reporting: Legacy tabular models couldn’t support fast report generation, delaying critical business decisions.
- Transition needs: Required a seamless shift to cloud-based Power BI Premium to leverage advanced features and improve accessibility.
Solution
Euvic’s solution modernized the client’s infrastructure:
- Azure migration: Moved to Azure Data Warehouse for enhanced performance and scalability, enabling faster data processing.
- Streamlined data integration: Utilized Azure Data Factory to automate data extraction, transformation, and loading processes.
- Semantic modeling: Developed a ready-to-use semantic model on Azure Analysis Services, facilitating sophisticated reporting and analytics.
- Optimized workflows: Implemented tools and processes to reduce manual interventions and improve data accuracy.
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Technology Overview
Technology
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Technology
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The Dream Team
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Results
The migration achieved remarkable improvements:
- Enhanced scalability: Managed large datasets efficiently with cloud infrastructure, preparing the client for future growth.
- Faster reporting: Reduced integration and report generation times, enabling quicker insights and decision-making.
- Cost savings: Lowered infrastructure expenses while delivering high-performance analytics capabilities.
- Employee empowerment: Equipped teams with tools to analyze data more effectively and collaborate seamlessly.
