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SFC Modeling
In our analytical work and subsequent modeling, we rely on long-term academic research and verified scientific knowledge. Dynamic modeling methods allow us to work with complex systems that take into account the flow of time, significantly increasing the relevance of outputs and their value for subsequent application
in business. We can identify potential threats and opportunities with much greater accuracy than traditional models. The outputs can then serve not only as a risk analysis or business opportunity analysis but also as a basis for relevant company valuation.
Static models are not applicable in a rapidly changing environment.
By using a dynamic approach, you take into account the complexity
of the business environment and minimize the room for potential errors.
Academic Foundations
We do not rely on our own artificially constructed methods, but on a tradition of a scientific discipline that is over
a hundred years old and finds its use in most natural sciences - among other things, in weather forecasting models.
Beyond Excel
The dynamic approach presents several advantages compared to the standard static model, which is typically represented, for example, by
a spreadsheet in Excel. Simple parameterization, a comprehensive perspective, and the ability to more effectively identify potential red flags
are just a few of them.
Analysis is Just
the Beginning
We prefer long-term collaborations and do not create analyses "for the drawer." Analysis and modeling can be just the first steps, at the end of which is
a healthy, efficient, and sustainably functioning business.
Wide Network
of Partners
After more than ten years in crypto, we are connected with most of the leading players in the industry across various sectors. Whether you're dealing with taxes, IT development, or looking for new colleagues, we can advise you on who to turn to and ensure the necessary connections.
SFC business modelling
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