Abstract
The article describes an approach to creating a high-precision model of a system of high-level indicators of an educational organization. The proposed solution is based on building a dynamic model of high-level organizational performance within the digital twin concept. BPMS ELMA was used as a technological platform for the solution. The predictive model is based on a linear model of a discrete-time automatic control system. The digital twin is supplemented by a recommendation module using optimal control methods and recursive filters. The parameters of the predictive digital twin model are refined based on the digital shadow data. As we collect digital shadow data, we should expect an increase in the accuracy of the forecast model, which in the future will allow us to speak of it as a model with high accuracy.
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