Application of data analytics methods to assess the prospectivity of planned real estate developments

Introduction. In the process of making decisions, about design and construction there are tasks of assessing the prospects for the planned construction of real estate. The subject of the research is the assessment of the attractiveness of real estate objects from the position of expediency of their construction.

Materials and methods. Research methods include analysis of scientific papers, application of systems analysis and systems approach, structural and mathematical modelling of phenomena and processes, theory and practice of digitalization of economic systems, theory and methodology of object-oriented big data processing, theory of forecasting and statistical analysis.

Results. Four groups of property parameters that may influence their attractiveness have been identified. The information has been formalized into a form suitable for analytics. It has been shown that the properties of objects can be regarded as their attributes and in this regard, a star data model has been proposed for the information-analytical system. The scheme of interconnection of object characteristics and parameters is proposed, as well as the model of data processing system including the collection of big data from multiple sources and integration with the enterprise platforms. The estimation of attractiveness of objects is carried out by calculating the integral index consisting of integral indexes of separate data sets. The method of ranking the formalized indicators of objects as a preliminary stage of expert determination of their weight values is proposed. On the basis of the integral index of object attractiveness a management decision may be made as to the advisability and prospects of construction or performance of correction of design indices of the projected object. The modelling and reporting process can be carried out in software that implements the Business Intelligence concept.

Conclusions. The proposed methodology for assessing prospective properties based on big data analysis can be used in decision-making by both construction companies and participants in the secondary real estate market for efficient parametric selection of properties according to customer requests.

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