Being a Data Scientist in a Non-Data-Driven Company: Learnings from my 1st Year at REHAU
Monday, May 11, 2020
Many manufacturing companies are not yet very data-driven but willing to use their data to optimize production. In that case, one of the most challenging tasks of data experts is to establish an understanding from top management to all employees about circumstances that are prerequisites when working with data. Managers often tend to think in terms of tools – a well-designed front-end delivers the analytics solution – ignoring that proven data quality and data reliability are key to this. In this session, some actions are explained which have triggered a steady change in thinking processes at REHAU (thinking in solutions instead of tools). However, developing a useful data-driven solution for the manufacturing industry requires strong collaboration of industry, technical and data experts. Right from the beginning, all important stakeholders have to be involved and highly motivated even if they have their daily business. Sandra will explain what challenges they faced within the interdisciplinary teams and how they successfully integrated the different experts and created efficient communication channels to avoid misunderstandings. The last part of the session focuses on the steps that have to be followed to develop long-term and scalable data-driven solutions. Even REHAU has still some way to go, Sandra will talk about her learnings to set up a sustainable data strategy and about how to get a similar understanding between stakeholders evidently focusing on different targets.