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Regional rail service authorities must evaluate growing volumes of data from multiple interfaces quickly and reliably. In practice, however, this data is often distributed across numerous systems. An integrated, BI-supported controlling system centrally consolidates all relevant data and enables transparent management as well as well-informed decision-making.
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A public authority responsible for regional rail passenger transport (SPNV) faced the challenge of consolidating a large number of heterogeneous data sources. These included, among others: • Operating costs • Rail network and contract structures • Sales and revenue data • Volume structures and performance data • Penalties and quality indicators • Forecasts and planning data
Many of the existing processes had evolved historically and were based on isolated Excel solutions, manual checks, and multiple data processing cycles. The objective was to establish a central, integrated and automated Qlik solution that combines financial planning, forecasting, reporting, regulatory reporting, revenue data and operational performance data within a single system.
As part of the project, all relevant data sources were systematically identified, structured, and transferred into a standardized Qlik data model. The project implementation included, among other things: • Integration of standardized operational and billing data • Integration of tariff and ticket key tables, including mapping logics • Connection of data from various functional areas, such as regional rail service planning, quality and safety, revenue management, and procurement procedures
The data model was gradually expanded to ensure the consistent representation of volume structures as well as billing, booking, and contractual logics.
Through structured user documentation for financial planning and forecasting, an end-to-end planning process was established: • Modules for financial planning (e.g., cost blocks, scenarios, indexations) • Forecast modules, including automated plan-actual variance analyses • System-supported calculation of key performance indicators, as well as version control and plan management
This fulfilled a key requirement: combining planning and forecasting within a single system and making them both manageable and analytically accessible.
The Qlik dashboards now provide, among other things, insights into: • Ticket sales and revenue developments • Revenue allocation • Penalties and quality indicators • Timetable analyses and kilometers operated • Additional and reduced services per transport contract
This creates a reliable basis for providing transparency in connection with operational performance, financial structures and transport-related impacts.
The previously manual preparation and provision of reporting forms has been fully automated: • ETL routines for processing and validating raw data • Automated generation of reporting forms and analyses • Integration of external interfaces and data exchange formats
This automation improves data quality, significantly reduces manual effort, and accelerates reporting processes.
Through the integrated linkage of: • planning and forecast data, • actual performance indicators, • operating costs, • sales and revenue data, • contractual and regulatory frameworks,
future public funding requirements can now, for the first time, be planned and forecast in a well-founded, transparent and data-driven manner.
The broad use of the tool across different functional areas – from investment funding management to financial controlling – highlights its strategic value.
The Qlik-based controlling tool has transformed the regional rail service authority from a fragmented data landscape into a fully integrated management system. With automated processes, clearly structured dashboards, and reliable planning and forecasting functions, SPNV services, sales results and public funding can now be analyzed, managed and strategically developed in an integrated manner.
The solution approach presented is deliberately designed to be technology-neutral. Although the project was implemented using a Qlik-based architecture, the methodological and functional approach is independent of the BI tool used. The concepts described – integrated data models, automated ETL pipelines, end-to-end planning and forecasting processes, and management-oriented performance indicators – can equally be implemented using Microsoft Power BI, other leading BI platforms, or hybrid architectures.
What is decisive is not the tool itself, but the combination of sector-specific regional rail service expertise, a coordinated data architecture and proven management logics. Our projects are flexibly adapted to existing IT strategies, system landscapes and the preferences of our clients.
From data silos to a strategic management system. Currently only available in German.
Thorsten Lorenzen
Partner
Alexandra Sausmekat
Attorney-at-Law (Rechtsanwältin), Certified Tax Advisor
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