Abstract
The success of most of today’s businesses is tied to the efficiency and effectiveness of their core processes. Yet, two major challenges often prevent optimal processes: First, the analysis techniques applied during the optimization are inadequate and fail to include all relevant data sources. Second, the success depends on the abilities of the individual analysts to spot the right designs amongst a plethora of choices. Our deep Business Optimization Platform addresses these challenges through specialized data integration, analysis and optimization facilities. In this paper, we focus on how it uses formalized process optimization patterns for detecting and implementing process improvements.
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Niedermann, F., Radeschütz, S., Mitschang, B. (2011). Business Process Optimization Using Formalized Optimization Patterns. In: Abramowicz, W. (eds) Business Information Systems. BIS 2011. Lecture Notes in Business Information Processing, vol 87. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21863-7_11
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DOI: https://doi.org/10.1007/978-3-642-21863-7_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21829-3
Online ISBN: 978-3-642-21863-7
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