Knowing, understanding, organising, using and analysing data
Developing a sustainable data management system based on effective data flows and uses
Data and end-to-end data management form the basis for modern, seamless planning, operations and control systems, for consistent capacity management and for other railway IT systems:
- Long-term data on traffic forecasts and expected traffic volumes, and their application to traffic flows, services and transport concepts
- Data and data sources for long-term planning, the development of timetable concepts, simulation and analytical assessments
- Train path bookings, train path portals and international transport bookings
- Aspects and characteristics of timetable planning
- Operations and control systems and the information they provide
- Operational data and analyses of operational activities
- Statistics, reporting and evaluations
- Train path billing and marketing support
- and many other interesting data sets
The transfer, indexing, organisation, use and interoperability of data and data flows link systems, help to gain insights, and enable and promote further developments.
Through a wide range of projects, quattron informatics has gained the experience, expertise and IT know-how required to analyse data, identify semantic patterns and apply them in a practical context. Furthermore, we enable data to be converted for use, stored, aggregated and interpreted, thereby unlocking the value hidden within large data sets
Concepts of data versioning have been incorporated into many projects and products, whilst data warehouse repositories have been set up across different domains and utilised through data mining approaches. We consistently apply this knowledge to future projects and work for clients – often by utilising and making innovative use of existing systems and their data provision, which may be inadequately documented.
quattron informatics can provide services covering the development of databases – both from a technical perspective, using data modelling, data warehousing and various optimisation approaches, and from an operational perspective, whether hosted and administered or provided as a service – as well as the preparation and utilisation of existing systems and their data sets, and the specification of data exchange formats and their implementation, for example through interfaces or protocols.