information from different sources that will let us provide better analysis .
“ To create a unified ‘ data landscape ’, we are creating product roadmaps for our existing information systems . One of the main tasks is to describe the data entities used in each information system and to define right data sources for a common “ data lake ”. The ultimate goal of this work is to collect the initial and consistent data of various information systems into a single enterprise data lake for further crossanalysis and use it to create digital models of business processes .
“ We are at the very beginning of this journey ,” he says .
Adding digital & data-based capabilities to the UX Presently , responsibility for all the information displayed in Estonian Railways ’ terminals and stations rests with a third-party company . But , by the time the Time-tabling , Traffic Control , and Management System ( TTCMS ) project is ready , Estonian Railways will be able to provide all the necessary information and data to the Public Information Management System ( PIMS ), directly from the TTCMS database . This means that passengers will be able to get live updates regarding the train traffic schedules and conveniently plan their trips .
“ Right now , we are in the process of using data to improve different services . For example , with the TTCMS project covering the whole Estonian Railway infrastructure , the objective is to improve train traffic safety , punctuality , and reliability . The system will be a single source of truth for train traffic accuracy and traffic forecast data , with this information available for both internal and external stakeholders and users .
Zaitsev continues : “ In the following years , the company will be taking a huge step forward in the quality level of our infrastructure . It is a historical moment for us , being able to invest with the help of EU funds and government support to provide even better services for our freight and passenger railway traffic partners .
“ Railway is the most environmentallyfriendly means of transport , so it is crucial that we do everything in our power to popularise it .
“ Regarding data management , if a company does not have a welldefined data collection strategy – but is constantly initiating new projects and implementing new technologies – it is crucial to focus on the data architecture and data gathering . The sooner you start gathering data in a structured way , the easier it will be for you to implement new projects , as well as make better business decisions based on the data .” erv . ee 13