Alexander Paar, Stephan Blankenburg, Zarah DeLuca-Hellwig

Currently, the strategic use of Big Data is a challenge of utmost relevance for nu-merous leading enterprises. Following a clear management commitment, most companies have prepared themselves with a considerable IT infrastructure to meet the challenges of data-driven decisions. However, there is often a serious discrepancy between the technical possibilities for intelligent use of Big Data and its actual application for immediately available use cases for product development. This gap can very often be contributed to the lack of organizational development. In order to tap the full potential in the long term, it is not enough to rely on the know-how of data scientists in the short term. In the future, engineers will have to act as data scientists themselves. Hence, a mindset change and corresponding qualification measures are essential.

In this talk, we present the iterative and incremental User-centered Smart Data approach. This innovative Design Thinking based methodology involves users and their needs right from the start and rapidly develops highly scalable data analyses in an agile manner and conforming to the respective IT policies.

The resulting “speedboats” in the form of prototypes enable sustainable solutions accepted by central IT departments. Customized training concepts provide the required tailwind for the necessary mindset change of the engineers.