Proceedings-Artikel

Towards a Real-time Usability Improvement Framework based on Process Mining and Big Data for Business Information Systems

Sharam Dadashnia; Tim Niesen; Peter Fettke; Peter Loos
In: Tagungsband Multikonferenz Wirtschaftsinformatik. Multikonferenz Wirtschaftsinformatik (MKWI-16), March 9-11, Ilmenau, Germany, Technische Universität Ilmenau, 2016.

Abstract

Workflow improvement nowadays plays an important role in the selection process of supporting software. This is especially true in the context of user-centric development, where the usability of business information systems is a crucial characteristic of differentiation. However, automatically measuring the usability of such systems as well as their dynamic enhancement has not been stud-ied before. This paper describes an approach to improve the usability of web-based information systems in real-time. Different concepts are presented, which build on data gathering methods from web analytics to provide log mechanisms for user interactions at a detailed level and subsequently process this data by means of data analytics and process mining methods. Concepts are then integrated into a comprehensive framework representing the main contribution of this paper. We evaluate our framework with a software prototype based on in-memory technologies developed in cooperation with a major German software company. Furthermore, we report on findings of a user study that was conducted in an exemplary use case scenario demonstrating dynamic workflow improvements to validate our research in a real-world setting.

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Dadashnia et al. - Towards a Real-time Usability Improvement Framework based on Process Mining and Big Data for Business Information Systems.pdf