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Monday, 13. November 2017

"Process-based data provision for the risk reporting of a medium-sized private bank" Maximilian Schnitzlein


Maximilian Schnitzlein from the University of Ulm shows in his Master's thesis "Process-based data provision for the risk reporting of a medium-sized private bank", what advantages can a software offer for process support in the banking environment.

"The banks have been dealing for the relevance of an internal control system in the financial sector for a long time. Only if there is a certain process awareness prevails in the company, process-related risks can be identified and internal controls can be established. Especially in the area of ??risk controlling, the user- or data-driven processes require some control mechanisms, as they rely heavily on a cooperative working method. In this context, the use of Microsoft Excel is increasing, which means that structured data storage and cooperative working methods can only be implemented to a limited extent. However, it is possible that a structured collaborative approach with integrated controls can be more easily realised by using traditional business process management technologies. This work shows, how it is possible to provide data from Excel-driven processes of risk controlling in a medium-sized private bank process-assisted. It will also look at control mechanisms that are made possible through the use of Business Process Management in combination with Microsoft Excel." *

Maximilian Schnitzlein's Master's thesis "Process-based data provision for the risk reporting of a medium-sized private bank" impressively demonstrates the potential of the spreadsheet router for risk management in the banking sector.

AristaFlow congratulates Maximilian Schnitzlein for obtaining the master's degree in computer science.

Would you like to improve your risk management and evaluate data in real time? Get information here.


Excel-driven process execution

*Source: https://www.uni-ulm.de/in/iui-dbis/templates/event-einzelansicht/article/prozessgestuetzte-datenbereitstellung-fuer-die-risikoberichterstattung-einer-mittelstaendischen-priv/