Visual scenario development platform used to model real estate market processes

Introduction. The real estate market is a key sector of the economy with high price dynamics, dependence on macroeconomic factors and complexity of forecasting. Traditional analysis methods require a lot of time and resources, which limits their application. Using low-code platforms allows you to reduce the cost of developing models and make analysis tools accessible to specialists without advanced programming skills. The purpose of the study is to demonstrate the use of KNIME to predict the value of real estate and their classification. In addition, it is necessary to assess how accurate the models are and how useful they are in practice.