Predictive Analytics for Project Management

This paper deals with master data from the project management environment. A general approach for predicting project outcome including goal achievement is developed. A first implementation in RapidMiner Studio V9.10 based on a decision tree algorithm is derived and discussed. The purpose of this paper is to provide a basic understanding of the topic and to adapt the theory to existing enterprise data. The potential of predictive analytics for project management is illustrated and a promising practical implementation with existing software is derived and demonstrated.