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Business intelligence (BI) is needed to support decision makers in public transport. It helps to take better decision faster, in order to improve for example service, performance or profitability. Data can make a difference in practically all areas, from operations management and transport planning to policymaking and strategic decision-making. Yet today’s complexity and abundance of data can make it challenging for transport professionals to unlock the value of their data. Obtaining value by driving information from the data is yet another challenge. BI and BI tools make it easy to act agile, and accurate.
It is undeniable that artificial intelligence (AI) is growing its importance in every sector, including public transport. The use of AI applications in public transport could be one of the critical solutions that efficiently unlocks the value of data to improve the quality and efficiency of the public transport sector. Applying AI to our current methods of providing public transport enables us to move forward on many fronts to improve all aspects of provision.
This course aims at providing an insight into the main principles, processes and tools to inform policy- and decision-makers accurately and to transform Big Data into results and to show how AI applications can help to better serve: identifying the broader strategic objectives and linking them to associated goals and success factors will eventually allow choosing the most accurate indicators and processing the right dashboards. In addition, the course will also look at the opportunities and value created by Open Data and Data Sharing.
A good level of English is a compulsory requirement to attend the training
UITP Training Programmes and all related processes are certified for ISO29990:2010 – the standard for learning services for non-formal education and training.
Our skillful trainer team is composed of professionals, UITP lecturers and international experts in the fields of data collection, measurement and business improvement within the public transport and urban mobility industry.