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Executable enterprise architecture models : enabling business analytics using the Monte Carlo method

Smook, Roland (2014) Executable enterprise architecture models : enabling business analytics using the Monte Carlo method.

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Abstract:Enterprise architectures (EA) are particularly useful at showing the various structural elements within an enterprises, and the complex net of connections between them. In support of them numerous frameworks exist which aid companies in designing, developing and managing EAs as well as the host of activities and standards present in those EA frameworks. However, EAs also have one stark shortcoming, namely their static nature prevents them from being used to predict the resultant dynamic behaviour of particular EA design choices. A limited number of executable EA metamodels and approaches do exist however. In other words, models depicting all of the original elements of an EA model, but which are enriched with all the necessary properties for them to be used for simulation purposes. Specifically focusing on business analytics, the research goal therefore is to determine and demonstrate how enterprise architectures can be used as the foundation for business analytics. In light of this a technical artefact was developed and implemented which allows business analytics, which are based on the Monte Carlo method, to be executed, using EA models as their base.
Item Type:Essay (Master)
Clients:
BIZZdesign, Enschede, The Netherlands
Faculty:BMS: Behavioural, Management and Social Sciences
Subject:85 business administration, organizational science
Programme:Industrial Engineering and Management MSc (60029)
Link to this item:http://purl.utwente.nl/essays/66385
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