The Chair of Business Information Systems cordially invites you to the following public master defenses in January:
On Monday, January 20, 2020, at 11 a.m. Nadeem Tutunji will defend his master's thesis on "Conception and prototypical implementation of a desktop activity tracker with recommendation function". Feel free to join us in room 320, Albert-Einstein-Straße 22 (Konrad-Zuse-Haus).
Abstract:
Time is the most valuable resource, especially for employees in the booming digital economy. Knowing how personal time is used is an important prerequisite for improving personal effectiveness and goal attainment. However, it is not easy to know how much time is spent on a particular project or activity and important activities are neglected in favor of urgent activities. Today, modern software solutions exist, such as time-tracking apps, which automatically record computer-based activities, but require manual effort and lead to inaccuracies, for example due to false memories. The goal of this master thesis is to answer the question how the development of software components for successful and effective time management has to be designed. In this context a literature review on the topic will be created and existing approaches and tools for time recording will be examined. On this basis, own concepts for computer-aided time recording will be developed.
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On Wednesday, 22 January 2020 at 09:00 Ahmad Afyouni will defend his master's thesis on "Process Mining Approaches for the Generation of Reference Models". Feel free to join us in room 001, Albert-Einstein-Straße 22 (Konrad-Zuse-Haus).
Abstract:
More and more companies are using ERP systems as a central component to automate and digitalize their business processes. Therefore software companies are constantly faced with the challenge of improving and standardizing their ERP systems.
This master thesis was conducted in cooperation with a software company. The goal of this master thesis is to investigate whether process mining and reference modeling can be used to improve and standardize ERP systems. In this context, a reference model was derived from three event logs using process mining techniques. The applicability of the reference model is evaluated by means of a survey in the partner company. After processing and aggregation of data, the expectations of reference modelling and process mining were fulfilled.