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Contact
Content Hub
Whitepaper

Change Management for Data Science 

  • Expert Lea Waniek
  • Date 13. October 2020
  • Topic Data ScienceStrategy
  • Format whitepaper
  • Category Management
Change Management for Data Science 

What’s it about?

In this white paper, we present the key factors for successful change management to establish a data mindset. We point out exactly what you need to successfully initiate the process of rethinking within your data science and AI initiative.

Data science and artificial intelligence are the key to successful value creation and competitiveness for many organizations in the future. However, to fully exploit the potential of these technologies, it is not enough to invest in tools and know-how alone.

To create real innovation, one must combine these new technologies with industry expertise and integrate them into the operational business. The workforce must support the accompanying sustainable transformation of organizational structures and processes.

Therefore, an organization-wide, fundamental rethinking towards data-based thinking and acting, the data mindset, is necessary. At present, the masterminds and advocates of this change can be found primarily in leadership positions. For this reason, efficient change management is urgently needed in the context of AI initiatives to transform thinking in the top-down process. To establish the data mindset via successful change management, a clear leadership commitment is required. The six key factors, which we will present in this white paper, characterize this process.

Expert

Lea Waniek

Team AI Strategy


Learn more!

As one of the leading companies in the field of data science, machine learning, and AI, we guide you towards a data-driven future. Learn more about statworx and our motivation.
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