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Model-driven data warehousing for service-based business process monitoring

: Kötter, Falko; Kochanowski, Monika; Kintz, Maximilien; Renner, Thomas; Sigloch, Philipp


Institute of Electrical and Electronics Engineers -IEEE-; IEEE Computer Society; Service Research and Innovation Institute -SRII-, Los Gatos/Calif.:
Annual SRII Global Conference 2014. Proceedings : 23-25 April 2014, San Jose, California, USA
Los Alamitos, Calif.: IEEE Computer Society Conference Publishing Services (CPS), 2014
ISBN: 978-1-4799-5193-2
Service Research and Innovation Institute (Annual SRII Global Conference) <2014, San Jose/Calif.>
Fraunhofer IAO ()

Today for compliance reasons as well as for optimization of business processes companies need to store runtime data of processes. However, creating and adapting an analytics infrastructure using data warehousing is a cumbersome task. In previous work we introduced the aPro architecture in order to enable companies with heterogeneous infrastructures to create near real-time monitoring and analytics infrastructures. Creation and deployment of monitoring infrastructure is provided as a fully automatic service. In this work we add a model-driven data warehouse to aPro, using the existing monitoring model to automatically configure and deploy a data warehouse. We show how a near real-time monitoring infrastructure can be utilized to simplify Extract-Transform-Load processes for filling data warehouses. We describe a prototypical implementation and evaluate it with a real-world process.