Planning a data platform, analytics system, or AI solution? Our team can help design scalable architectures and deliver production-ready solutions tailored to your business.
Client context
Bieganski Hospital is a multi-department medical institution providing a wide range of healthcare services. Managing both clinical and administrative operations at scale requires efficient access to reliable data across departments.
The challenge
The hospital operated across multiple systems, including ERP and HIS platforms, where data was fragmented and difficult to access in a consistent way. This made it challenging to generate reliable insights in a timely manner, slowing down decision-making and limiting visibility into both operational and financial performance.
Without a unified data layer, reporting required manual effort and often lacked consistency, making it harder for management to respond quickly to changing conditions or optimize processes across departments.
What it took to deliver results
To improve operations and decision-making, the system needed to:
- integrate data from ERP and HIS systems into a single environment
- provide fast and reliable access to operational and financial data
- support flexible and customized reporting
- enable multidimensional data analysis
- improve visibility into costs, procedures, and performance
- support both strategic planning and daily operations
The goal was to transform fragmented data into a structured and accessible source of insights.
The solution
A Business Intelligence platform based on Inforum BI Studio was implemented to centralize data and provide advanced analytical capabilities tailored to healthcare operations. Instead of relying on isolated systems, the solution integrates multiple data sources into a unified environment, enabling consistent reporting and analysis.
The platform includes customized reporting tools, analytical models, and specialized modules designed to support budgeting, cost control, and medical procedure oversight. By structuring data and making it accessible across the organization, the system enables more informed and timely decision-making.
Technology stack:
- Inforum BI Studio for analytics and reporting
- SQL-based data processing for integration and transformation
How it works
Data from ERP and HIS systems is integrated into a centralized BI environment, where it is processed and structured for analysis. OLAP cubes enable multidimensional exploration of data, allowing users to analyze performance across different dimensions such as departments, procedures, and time periods.
Users can generate customized reports based on their needs, while management gains access to consolidated insights that support both operational control and long-term planning.
Key capabilities:
- Integration of ERP and HIS data into a single platform
- Customized reporting for different roles and departments
- OLAP-based multidimensional data analysis
- Budgeting and financial management modules
- Monitoring of medical procedures and operational performance
- Cost calculation and profitability analysis
Impact on operations
The introduction of a centralized BI platform significantly improved access to data across the organization, reducing the time required for reporting and analysis. Teams can now work with consistent and up-to-date information, improving coordination and operational control.
At the same time, the system provides better visibility into both clinical and financial processes, enabling more effective management of resources.
Business impact
The solution delivered measurable improvements across key areas:
- Faster decision-making, through improved data accessibility
- Improved operational efficiency, by reducing manual reporting effort
- Better financial control, with enhanced budgeting and cost analysis
- Increased transparency, across departments and processes
- Improved quality of care, through better monitoring of medical procedures
- Stronger data-driven culture, supporting ongoing optimization
The BI platform provides a foundation for further development of advanced analytics, including predictive models and AI-based insights. As the system evolves, it will continue to support more proactive and data-driven healthcare management.
We’ll review your goals, technical constraints, and opportunities to design a solution that fits your organization.
