Success stories
Germany’s inland waterways play a vital role in freight transport, yet their potential has been constrained by fragmented and outdated data. This limitation has become increasingly significant as demand grows for transporting heavy components linked to energy transition. The Federal Waterways Engineering and Research Institute (BAW) partnered with Capgemini to develop a national, open-data platform that consolidates multiple data sources into a single, reliable system.
The platform provides consistent, accessible logistics information to support planning and coordination. As a result, planners benefit from faster access to accurate, actionable data, improving decision-making across multimodal transport networks. The initiative supports more efficient logistics, reduces pressure on road infrastructure, and contributes to lower emissions, strengthening Germany’s transport resilience and supporting national climate objectives.
Iarnród Éireann - Irish Rail - needed to modernize its data and IT landscape to support planning, reporting, and real time operations across its national network. With millions of train journeys a year generating significant data, Irish Rail decided to streamline processes and improve efficiency with a centralized Azure Data Hub. With insights into train performance and schedule delays, this hub helps provide a more efficient service for passengers. Working alongside Irish Rail, Sogeti, part of Capgemini, supported a cloud-first modernization strategy: designing a data platform using Azure Synapse, Microsoft Fabric, ADLS, and DevOps pipelines. We brought in data engineers, architects, and delivery specialists to link systems such as SAP and Power BI, create a centralized Azure Data Hub, and set up Microsoft DevOps. The program unifies enterprise data to accelerate reporting and reconciliation, improves operational visibility for train and service delivery, and enables faster, more informed decision making. Our solutions empowered the organization to scale Microsoft Cloud capabilities and embed a robust, future-ready data foundation to support continued digital transformation.