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. Six key factors characterize this process:
- Factor – Reason:
Argumentative explanation of the necessity of change.
- Factor – Vision:
The communication of the future added value of change, both for the organization and the individuals.
- Factor – Dialogue:
Open exchange with the workforce regarding feedback and reservations about the change.
- Factor – Education & Empowerment:
Access to differentiated further education measures as well as tools and technical resources.
- Factor – Evangelize:
Convincing through communication, cooperation, and knowledge transfer with pioneers of application as well as the successful implementation of exemplary lighthouse projects.
- Factor – Iteration:
Agile and especially iterative (re-)organization of action, decision-making, and planning processes.
This whitepaper presents the above-mentioned key factors for successful change management to establish the data mindset. We point out exactly what you need to pay attention to, so you can successfully initiate the process of rethinking within your data science and AI initiative.
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