01/11/2017 - 13:30
Eatech has been chosen as the partner for architectural design and description of the payment process for the City of Tampere.
Tampere wants to be a pioneer in utilising digitalisation. The vision for the digitalisation of services and operations in the City of Tampere is that “by 2025, all residents of Tampere will primarily use digital services”. The City of Tampere is acquiring a new payment system for public transportation. In this context, the payment process has been identified as an operation which cuts across several operations of the city from museums to health care. Also, it has been identified that the development of technology creates new ways to make payments.
In addition to public transportation, in other entities offering city services – such as sports and exercise facilities, health care clinics, libraries and museums – consumer customers pay using different payment methods, such as by invoice or with a credit card. There is no common solution for making payments.
In the project, descriptions of the current and goal state, a solution description and a development plan will be carried out. As a result, we will have 2–3 scenarios of the goal state where the needs of different user and stakeholder groups, and those of the city, concerning payment processes have been taken into account. In addition, new possibilities brought by technology in the near future and matters related to information security are considered. The future payment architecture will support the service needs of the City of Tampere and the smooth user experience of customers. The aim is that, in the future, the users of city services could purchase services offered by the city smoothly using payment methods suitable for them.
Operational reliability and extensibility are taken into account in the planning process: new payment solutions can be introduced for the use of services flexibly, with reasonable life-cycle costs. Information security together with direct and indirect costs must also be considered in order to find the best overall solution.