Science, technology, research, development, innovation and digitalization are today seen as some of main factors of sustainable economic development and are part of all strategic guidelines concerning economic recovery. For this purpose, European Union enables the use of instruments that directly finance research and development processes in the international environment through the joint use of resources, as well as connecting the academic community with the business sector with the aim of developing social innovations and innovation ecosystems. All of this would be impossible without digitalization, digital technology, and business intelligence concepts and tools that enable easier access to information, as well as their selection based on importance and mutual connection. The purpose of this paper is the application of BI tools and concepts in the detection of influential factors on the absorption of funds for science, research and innovation. The aim of the paper is to identify the influencing factors by observing a set of horizontal factors of economic development within the category of science, technology, research, development and innovation, including the dimension of digitalization which, along with the green transition, is mentioned as one of the backbones and basic factors of the development of society as a whole. The efficiency of a country in absorbing this type of funds can determine the intensity and pace of its future economic development. The research was conducted using the desk-method. Statistical databases containing relevant indicators for assessing the impact of horizontal factors on the absorption of funds for science, research and innovation were selected for the research sample. Based on the results, some of the factors affecting the absorption of funds from the Horizon program were identified, and in that part, the basic preconditions are made for the creation of national guidelines and policies related to the withdrawal of funds for science, research and innovation, and the effective use of such instruments and funds. In this sense, this thesis provides a comprehensive approach to the analysis of factors that influence the use of European Union instruments for research and innovation by using business intelligence concepts and tools, and with the additional analysis of which, by including indicators from other categories of factors using the tool, a model can be created for successful funding from of such types of funds.