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Towards a process selection method for embedded analytics

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  • Tobias Bender

    (University of St. Gallen)

Abstract

Driven by technological progress, business analytics is gaining momentum while paving the path for next-generation business process management. Especially, embedded real-time analytics offers new opportunities for business process intelligence and value creation. However, there are several obstacles that organizations face in their adoption process. A key challenge is to identify business processes that are suitable for embedded analytics and hold relevant value potential. Our research addresses this need by introducing an exploratory BPM method, namely a process selection method. Applying action design research and situational method engineering, we iteratively built, used, evaluated, and refined the theory-ingrained method artifact. The method provides organizations with guidance in selecting operational business processes, for which a reengineering project should be initiated.

Suggested Citation

  • Tobias Bender, 2024. "Towards a process selection method for embedded analytics," Information Systems and e-Business Management, Springer, vol. 22(3), pages 501-525, September.
    • Handle: RePEc:spr:infsem:v:22:y:2024:i:3:d:10.1007_s10257-024-00675-1
    DOI: 10.1007/s10257-024-00675-1
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