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Model-driven business process analytics

: Kötter, Falko; Wohlfrom, Andreas; Graf, Désirée

Fries, Steffen (Ed.) ; International Academy, Research, and Industry Association -IARIA-:
ICIW 2015, Tenth International Conference on Internet and Web Applications and Services : June 21-26, 2015, Brussels, Belgium / IARIA ; ICIW 2015; "Held at DataSys 2015"
Red Hook, NY: Curran, 2015
ISBN: 978-1-61208-412-1
ISBN: 978-1-5108-0675-7
International Conference on Internet and Web Applications and Services (ICIW) <10, 2015, Brussels>
DataSys <2015, Brussels>
Deutsche Forschungsgemeinschaft DFG
SP 448/27-1; Co.M.B.
Compliance Management in Adaptive Business Processes
Fraunhofer IAO ()

Business process analytics helps companies to optimize their processes by identifying shortcomings and improvement potentials. However, existing approaches require either a homogenous process execution environment or expert knowledge, both of which many companies lack. In previous work, we introduced aPro, a model-driven architecture enabling process monitoring even in heterogenous environments. Utilizing the model-driven approach, this work presents a new out-of-the-box approach for business process analytics, allowing the business user to analyze the process within the familiar context of the model without needing to know details of the implementation or data mining techniques. We evaluate this approach using both a simulated and a real-life process.