One business model for many data sources and many analytical views
This project delivered a BI platform with a unified semantic layer. Instead of building analytics separately for each source system, the solution created one shared business model with common metrics, business meanings, and interpretation rules.
The value of the system was not just in collecting data, but in making analytics consistent, faster to build, and easier for business users to understand.
How the platform worked with data
The BI layer could connect to a range of enterprise data sources and abstract them behind one shared business representation for reporting and analysis.
- Connection to tables and files as analytical inputs.
- Support for different relational databases and corporate systems.
- Unified business semantics across heterogeneous source environments.
- Consistent metrics and interpretation rules for faster reporting work.
Visualization and analytical experience
The project included a rich presentation layer with standard charts, custom visuals, interactive elements, and even 3D representations of analytical data. It also supported geo-analytics such as KPI distribution across city districts on a 3D map.
- Standard and custom charts for different reporting tasks.
- Interactive analytical components for exploration.
- 3D visualizations for richer management insight.
- Geo-analytics and territorial KPI analysis on map-based views.
Semantic modeling, BI, and advanced visual delivery
The project combined a traditional enterprise data stack with custom BI logic and rich visual presentation.
Osnovni stack
The stack enabled data connection, semantic modeling, and presentation of analytics in both standard and advanced visual forms.
Poslovni efekat
The main value was giving business teams a clear, coordinated, and visually expressive analytical model instead of disconnected raw data views.
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