In recent years, the integration of process design in conjunction with the use of analytical applications to provide information tailored to user requirements to support operational process activities (e.g., Operational BI) has become increasingly widespread. In analytical software development/implementation projects, the insufficient involvement of analytical end users with their process context and the resulting unclear requirements/expected analytical software functions are still one of the main reasons for analytical project failure. Embedded in a Design Science Research Process, this paper shows the shortcomings of existing approaches, tools and models (1. BPMN process model extensions, 2. configurators in analytical applications, 3. models used in analytical implementation projects) for the documentation/conceptual configuration of analytical requirements. As a second part, this paper presents the evaluation results of a new process-oriented and service-based configuration approach for analytical applications, whose practicability, usefulness and acceptance were evaluated in expert reviews and in analytical development projects.
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