The term "organisational digital twin" originates from the fields of digital transformation, Industry and Factory 4.0 and artificial intelligence. It describes a digital image of an entire organisation - not just of machines or products, but of all of a company's processes, resources and structures.
An organisational digital twin enables companies to digitally simulate, analyse and continuously improve their processes. Data from a wide range of sources, such as production facilities, personnel planning or supply chains, is brought together. With the help of this data-based mapping, decisions can be made more effectively and potential problems recognised at an early stage.
An illustrative example: a company in the mechanical engineering sector creates an organisational digital twin of its entire production and administration. This makes it possible to analyse in real time how a change in the shift schedule affects production, whether bottlenecks are imminent or how efficient certain processes really are. This digital replication makes optimisation potential visible and the implementation of new strategies becomes safer and faster.
The organisational digital twin is therefore an important building block for the future viability of modern companies in an increasingly digital world.
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