The Port Authority is the main target of the innovation deployment, since it is probably the player who owns the most amount of quality and structured datasets. For example, the Venice Port Authority, whose organization model includes 15 different departments, according to a first brief assessment study, it is possible to identify at least 50 different management processes, which manage more than 120 different structured datasets and use more than 20 different hardware/software solutions. About 50% of those datasets are spatial datasets.
In order to realize the implementation of the centralized system, the pilot will directly work with the officers of the Port Authority, which manage big data, geospatial data, as well as those who use the elaborated information for other purposes). The pilot will also work together with education and training organisations to foster a skill enforcement approach.
In the last stage of the pilot, the pilot will involve companies and institutions who want to implement interoperable services through the platform.
Chambers of Commerce can benefit from the access of several open datasets provided by institutions and companies, mainly from the Port Authority, through standard access methods but also share their own public datasets. In the long-term scenario, also some reserved datasets can be shared by entering into special agreements with some community players. With more quality and up-to-date data Chambers of Commerce will have a more powerful planning capacity as well as the capability to provide better and innovative services to the companies within the community area.
Data sharing will be more effective between Regional Development Agencies when working on development initiatives because the interoperable tools will enable direct access to digital information and maps without the need of transferring large amount of data and replicating datasets. In such a scenario, many development initiatives and projects will gain benefits by exploiting a rich, detailed and up-to-date shared information asset, avoid waste of time in analysing territories' current situation and prepare assessments for the design of projects and actions.
The most direct benefits perceived by the transport operators are mainly related to the reduction of interaction time with institutions thanks to the digitalization and web-orientation of data-driven bureaucratic processes, but also to the possible creation of new information services and the improvement of transparency.
Although the pilot action implementation does not directly focus on MTOs, shippers, and passenger and freight terminals, several positive effects are expected in the long term insofar the connections and relationships between different players are improved and information about shipping and services are up-to-date and easy to access.
Ideal Implementation Scenario
The ideal pilot application is based upon working with a number of organizations and/or groups of actors which:
• manage large numbers of different datasets which require map-based visualization and dynamic or real-time data processing;
• use rich but fragmented information systems and complex organizational model;
• require several interactions and information exchanges with the other organizations and deliver data-driven service portfolios for customers.
The pilot will be integrating digital archives, real-time data sources and geospatial data; existing ICT infrastructure with average performances and ICT-based management of fundamental processes (e.g. document management, financial management, basic port operation management, etc.).
The pilot action optimises and integrates the information assets managed by the organisation and improve the efficiency and effectiveness of management and decision-making processes. The typical implementation scale is the one of Port Authorities and its officers.
The timeline of the pilot is 6 months of a preliminary assessment, 6 months of pilot action implementation, 1 year of interdepartmental implementation, 1 year of inter-department implementation. With this timeline, the first benefits are estimated to take place 6 months after the full pilot implementation.
