Regional food security management based on Data Driven Decision Making

The goal is to study the effectiveness of food security management in the country and regions based on the principles of Data Driven Decision Making (DDDM) for making justified and effective decisions. This research was carried out as part of implementation of the tasks of the project on grant financing of Science Committee of the Ministry of Science and Higher Education of the Republic of Kazakhstan on the topic AP14871923 “Management of regional food security in the context of global challenges based on the concept of Data Driven Decision Making.” Methods - the works of domestic and foreign economists concerning the problems of food supply in the context of globalization and integration of the country's economy were used as theoretical and methodological basis for the study. Scientific research methods: monographic, abstract, logical, systemic and complex analysis, statistical data processing, structural-functional approach. Results - the authors considered the possibility of using DDDM in agricultural sector. Conclusions - implementation of the results allows to obtain a multiplier effect associated with achieving sustainability of agro-industrial system of the country's regions through the implementation of DDDM principles in practical activities of central state and local authorities. It is substantiated that the use of the concept of decision-making based on Data Driven Decision Making contributes to objective assessment of economic and physical availability of food, food safety, when quality of raw materials and products meets established requirements and guarantees safe consumption. It is necessary to support domestic production and reduce imports. This policy is followed by many countries with high level of food self-sufficiency.

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