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Potentials and Challenges of Big Data Projects in SME (BA, WIP)

Internal advisor: Matthias Volk

Since the beginning of this decade, big data has evolved as a promising term to realize data intensive projects and applications, which seemed impossible years ago. Using new technologies and techniques massive amounts of differently structured data, taken from various sources, can be easily stored, processed and visualized. Especially enterprises are aware about its potentials at several stages, such as the improvement of knowledge generation, organizational agility, business process, and competitive performance.


However, for an enterprise, a big data project is a huge investment that could lead to a crucial change on various levels, especially in terms of the infrastructural part. Thus, introducing a big data project is a strategic decision that needs to be made based on solid understanding.


In particular, small and medium enterprises are confronted with various problems that form further barriers. Additionally to the necessary financial resources, personnel and hardware resources are crucial factors that have to be considered when executing such projects. At the same time, however, numerous potentials can be identified which, compared to large companies, can have a far greater impact on business.


The aim of this work is to achieve the current status of big data in small and medium-sized enterprises. In context of this, possible potentials as well as challenges must be identified and classified on the basis of their significance.


The scope may vary depending on the selected form.