Abstract: Computerized methods and systems are provided for acquiring time-dependent data for business process analysis. In such methods and systems, information may be imported from a plurality of source systems using a generic interface. Further, process fragments may defined from the imported information and the process fragments may be merged to generate process instances. The process instances may then be merged to generate a process model, which may represent a business process. Further, configurable performance indicators may be calculated in order to analyze a business process. The performance indicators may be calculated based on the process model and information imported from the plurality of source systems. As a result, users may investigate specific processes and indicators in detail, as well as overall business process performance on an aggregated basis.