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The management of development processes is a challenging task and needs adequate tool support. In the course of a development project, many different engineering and management processes are enacted and have to be controlled. The management data has an inherently multidimensional character. Most project and process management systems fail to present large multidimensional datasets in an adequate way. This paper describes a flexible approach, which leverages OLAP technology for the processing and visualization of multidimensional project management data in the plant engineering domain. The management data includes the execution traces and the progress measures of all workflows in an engineering project. The aggregation and visualization of this data facilitates the analysis of a huge number of process instances which is a prerequisite for process improvement.
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