Most decision-supports methods are dedicated to the identification and characterization of risks and opportunities. The concrete exploitation of these risks and opportunities is generally depending on the ability of users to analyze multi-dimensional situations, to mobilize their experience and to foresee consequences. In this article, a new and original data science-based vision of risk and opportunity management for decision-making purpose is introduced. The main expected benefit of this vision is to enable decision makers to manage the performance trajectory of a considered system by visualizing and combining the impact of risks and opportunity.

The MISE approach (mediation information system engineering) aims at defining and designing a platform, dedicated to initiate and support any collaborative situation among potential partners. Collaborative situations may emerge from manufacturing contexts (industrial production partners), economic contexts (supply chain), social contexts (crisis management partners) and any other contexts in which a set of organisations should work altogether to reach common and individual goals, exploiting each others competencies. The MISE approach is based on a model-driven engineering vision (MDE) dedicated to designing a mediation information system (MIS) in charge of improving interoperability in emerging collaborative situations. This MIS is dedicated to supporting the collaborative behaviour of the collaborative network by dealing with exchanged data, shared services and collaborative workflows. The final objective is a mediator system able to manage the operational collaboration of partners, through there information system, without constraint (at least with as less constraint as possible). The MIS design crosses the different abstraction layers of design (business, logical and technological) and exploits the associated models at each level to build the models of the next level. This paper presents the models involved (dedicated to the computer independent model, platform independent model and platform specific model levels of the MDE approach) and the transition mechanisms between levels.