Enterprise Business Intelligence Solution with Power BI Embedded
Sample Project Architecture
We are sharing the technical architecture and inter-component interaction of the Sales Performance Platform we developed for a large-scale FMCG company using Power BI Embedded technology.
The main purpose of our developed solution is to visualize the sales data in the customer's existing systems on Microsoft Power BI and provide authorized users access to these reports through a secure web interface.
Stateless Architecture
In the project, the application server is designed with a stateless structure, and no critical data belonging to customers or users is stored on it. All data is kept in the customer's source systems and in the Power BI service for reporting.
System Architecture Diagram
Component Details
1. GrowthPulse Application Server (Azure)
Standard D2s v3 (2 vCPU, 8 GiB RAM) virtual machine running on Windows Server 2019 Datacenter in Azure West Europe (Zone 2).
Developed with Python 3, FastAPI framework. Security with OAuth2 and JWT, encrypted communication with HTTPS/TLS 1.2+.
Modern web application developed with Next.js framework. ShadCN UI library and custom theme.
2. Customer Data Center (Azure)
Private Azure Cluster managed by customer's other vendor.
MS SQL Server database and Power BI On-Premises Data Gateway.
3. Power BI Service (Microsoft Cloud)
Dedicated workspace and datasets in Premium capacity.
Row-level security (RLS) and Azure AD integration.
4. Network Security
Secure data transfer with site-to-site VPN.
Access only for required ports and IP addresses.
User Roles and Access Permissions
| User Role | Access Permission | Number of Users |
|---|---|---|
| System Administrator | Full access, user management | 2 people |
| Regional Manager | Regional data, comparative analyses | 8 people |
| Sales Representative | Own sales data, target tracking | 45 people |
| Senior Management | Strategic reports, trend analyses | 5 people |
Performance Metrics
| Metric | Value |
|---|---|
| Average Page Load Time | < 2 seconds |
| Concurrent User Capacity | 100+ users |
| Data Refresh Frequency | Every 15 minutes |
| System Uptime | 99.9% |
| Report Generation Time | < 5 seconds |
Challenges and Solutions
Data Security and Access Control
Users with different authorization levels needed to access only their own data.
Row-Level Security (RLS) implementation in Power BI and integrated authentication system with Azure AD was established.
Performance Optimization
Report loading times were getting longer when working with large datasets.
Performance increased by 70% through data model optimization, incremental refresh, and DirectQuery usage.
User Experience
Non-technical users needed to be able to use the system easily.
Adoption rate increased to 95% with intuitive dashboard design, interactive filters, and user training program.
System Integration
Seamless integration with existing ERP and CRM systems was required.
Real-time data synchronization was established with API gateway and ETL pipelines.
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