Abstract or Introduction
This thesis is primarily concerned with two goals. The first goal is to find out how to identify relevant metrics for a social networking platform and determine their impact. For this purpose, the characteristics and prerequisites of such a metric were first discussed and then a list of important metrics was created. The relevance of these metrics was then determined using transparent methods.
The second goal of the thesis is to answer the question how metrics can be evaluated and optimized from eventsourcing based data. For this goal, different methods, analyses and data visualization forms were explained theoretically and subsequently implemented in a large web application.
One of the most important results of this work is the discussed list of metrics with their corresponding relevance. Particularly worth mentioning here, however, is the applied methodology, which is to be understood as the most important component for the achievement of the first goal. In contrast to the results of the first objective, where the theoretical part is considered the most relevant, the technical implementation of the web application is in the foreground for answering the second research question. However, for the interpretation of the visualized data, the knowledge presented in this thesis is indispensable.
- Quote paper
- Robin Lamprecht (Author), 2021, Identification and Calculation of Relevant KPIs to Optimize a Social Networking Platform Using Eventsourcing Based Data Analysis, Munich, GRIN Verlag, https://www.grin.com/document/1254429