Analyzing Analytics in Connected Industries
Background & Research Goal
The development and successful application of analytical solutions in connected industries relies on data, analytical methods and knowledge. In todays connected world, data is typically distributed across various departments and even companies. However, an exchange of this data, or knowledge about its analysis seems to be an exception. This leads to major inefficiencies, both on analytics and overall system possibilities and performances. The question arises, why there is no sharing of data, cross-unit analysis and communication of knowledge about analytics. 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