A Model-Driven Engineering Approach to Complex Performance Indicators: Towards Self-Service Performance Management (SS-PM)

Every modern organization nowadays produces data and consumes information through Decision-Support Systems (DSS) which produce more and more Complex Performance Indicators (CPI). This allows business monitoring, decision-making support and tracking of decisions effects. With the increasing complexity, DSS suffer from two main limitations that inhibit their use. First, DSS tend to be opaque to Business Managers who cannot observe how the data is treated to produce indicators. Second, DSS are owned by the technicians, resulting in an IT-bottleneck and a business-exclusion. From a Business Management perspective, the consequences are damaging. DSS result in sunk costs of development, fail to receive full confidence from Business Managers and to fit dynamic business environments. In this research, preliminary insights are proposed to build a solution that tackles the previous limitations. The literature review, the research contributions and methodology are presented to conclude with the work plan of the PhD.