Revealing Challenges for Analytics in Smart Service Systems
Background & Research Goal
The emergence of smart services in distributed supply network yields manifold opportunities. Companies could create new offerings based on the analysis of data or optimize existing processes.
However, current data analytics approaches in smart service systems only consider analytics inside the boundaries of one entity. The question arises, why there is no cross-entity analysis of data and communication to improve the overall supply network output.
This master's thesis aims to find first answers to this question by designing, conducting and evaluating a qualitative study, involving experts from industry.
- have a solid technical understanding of connected services and data analytics
- work in an independent and accurate way
- be professional and confident talking to experts from industry
We offer you a close supervision and the opportunity to talk to many partners from industry.
If you are interested, send your CV, transcript of records and a brief description of your motivation to hirt∂kit.edu.