ABSTRACT
The new business analytics research area investigated in this chapter is concerned with how to combine novel impact-driven predictive modeling techniques using a blend of strategic decision systems. Different applications for advances in business analytics, enterprise modeling, cognitive social media, are developed with a more intuitive and self-organizing framework for designing impact-driven business interfaces that are more plan-goal-oriented business infrastructures. Dynamic business context requires that we look at more flexible and impact-driven plan-goal-decision-tree satisfiability rates combined with strategic and competitive business models. These new impact-driven predictive models can be flexibly integrated into new and complex information systems as well as in highly heterogeneous digital infrastructures for designing new impact-driven competitive business models on the fly. Additionally, these advanced business analytics techniques can serve as intuitive business process modeling techniques enhanced with the strategic and context-driven design of the predictive analytics tasks.
