Together with our partners, we create advanced, agile IT solutions that make key performance indicators (KPIs) transparent to management, enabling faster, data-driven decision-making.
Business results and benefits
A well-designed BI ecosystem supports cost efficiency, revenue growth and better customer service. Among other things, it helps:
- identifying cross-selling and up-selling opportunities
- early identification of risks
- tracking agent performance and customer journeys
- optimising product and pricing strategies
- increase customer satisfaction and retention
With accelerating digitisation, changing customer needs and tightening regulations, data interpretation has become a key issue. BI systems now not only support day-to-day operations, but also provide a competitive advantage.
- personalised customer service, digital customer experience
- difficulties in integrating different systems
- the need for real-time analysis and predictions
- data protection and regulatory compliance (GDPR, IDD, Solvency II, DORA)
We take a holistic approach to complex BI and data warehouse projects, from source system integration to business reporting and predictive model development.
Our typical services:
- Data asset inventory and architecture design
- Data warehouse or data lake (on-prem / cloud)
- Data integration from different systems
- Financial, stock and sales reports
- Automated data cleaning and transformation
- Churn and fraud prediction, AI-based analytics
- Power BI-based data visualisation and self-service BI
- Privacy and compliance modules
In the healthcare sector, increasing patient numbers, tightening reporting requirements and resource constraints have made the effective interpretation and use of data a key issue. BI systems not only support institutions’ operations, but also provide a competitive advantage – from controlling costs to optimising care processes and improving the patient experience.
Business outcomes and benefits
A well-established BI ecosystem enables healthcare institutions to:
- make faster and more reliable decisions,
- reduce resource waste,
- optimise patient pathways and care processes,
- simplify and automate reporting obligations,
- increase patient satisfaction and service quality.
The data challenges facing healthcare institutions are increasingly complex. The most common areas where data management plays a key role are:
- managing large volumes and different types of data sources (management, patient care, controlling),
- the need for real-time management and operational reporting,
- ensuring cost-effective resource allocation,
- preparing quality assurance and regulatory reports,
- optimising patient pathways and care processes,
- Strict data protection and legal compliance (e.g. GDPR, EESZT).
In addition, there is an increasing focus on improving the patient experience, identifying recurrent patients and supporting a data-driven approach to prevention.
Through our complex BI and data warehouse projects, we have developed systems that support healthcare managers’ decision-making and optimisation of care processes on a daily basis. Our focus has been on data integration, quality assurance and targeted use.
Our typical solutions:
- Data asset assessment and architecture design in a healthcare environment
- Building data warehouses and data lakes on-premises or in the cloud
- Integration of health data sources (EESZT, patient care, financial and controlling data)
- Smart dashboards: utilisation indicators, financial and supply reports
- Power BI-based self-service BI solutions, with support for business users
- Data protection and compliance functions (audit, metadata management, rights management)
- Automated reporting for quality management purposes
- Predictive models: patient traffic forecasting, financial risk identification
In the energy sector, sustainability requirements, tightening regulations and market competition are raising the importance of data management to a new level. BI systems not only support operational visibility and efficiency, but also provide the opportunity to optimise generation and distribution, forecast consumption needs, and improve maintenance and cost processes in a targeted manner. Data-driven operations thus provide energy companies not only with internal efficiencies, but also with a long-term competitive advantage and sustainable growth.
Business results and benefits
Data-driven operations bring not only analytics but also tangible business results for energy companies – from day-to-day operations to strategic decisions.
Key benefits:
- optimising production, distribution and consumption processes
- forecasting consumption peaks, maintenance needs and breakdowns
- reducing operating and maintenance costs
- loss detection and monitoring of energy efficiency indicators
- Monitoring the reduction of CO₂ emissions
- real-time reporting for rapid management response
- support for new business models (smart metering, dynamic pricing, energy exchange)
- increase customer satisfaction through more transparent service.
Energy companies have to meet sustainability targets, tightening regulations and market pressures at the same time. In this environment, the effective management and business use of data has become key.
Key challenges:
- integration of data from different sources (production, consumption, finance)
- real-time monitoring of energy processes and equipment
- predict consumption peaks, faults and maintenance needs
- analysis of price movements and market trends
- ESG reporting and compliance requirements
- data-driven support for managerial and technical decisions
We support our energy partners with BI solutions that help them to process data efficiently, operate transparently and make strategic decisions.
Our typical services:
- Data collection and aggregation Automated integration from different sources (sensors, production, finance)
- Real-time dashboards Interactive interfaces with KPIs, consumption and cost data
- Predictive maintenance Predictions of failures and outages with machine learning
- Price and market modelling Time series data, price movements and market monitoring
- ESG and sustainability reporting CO₂, energy efficiency and reporting
- Cloud and on-prem BI platforms Flexible solutions with secure integration
- Self-service BI and visualisation Power BI-based fast, self-service reporting
