Data Science Methods in Project Financing Involvement

Abstract

Changes in the economy require innovative approaches to data analysis. Most data today is poorly structured or unstructured, large in size, Data Science methods are becoming the tool that facilitates efficient data processing. Big data in finance today requires improvement and refinement of practical aspects of implementation because, in most cases, the traditional approach dominates. Given the constant development of information technology and its application in all areas, Data Science Methods prioritize organizing the process of finding sources of project funding. The study considers the possibilities of using Data Science Methods in project financing involvement, developed a model for decision-making on project financing. The volume of project financing and their structure by different sectors of the economy are studied separately.

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