Big data analytics in the agro-Industrial complex of Kazakhstan: effective technologies

The relevance of the topic is driven by the importance of digital transformation in agriculture. The application of big data technologies in the country’s agro-industrial complex contributes to income growth, cost reduction, and increased efficiency of production processes. The goal is to identify the challenges of analyzing large volumes of information in the functioning of the agrarian sector in the context of global trends and challenges. The country’s agro-industrial production faces a shortage of qualified personnel, high costs of digital transformation, and outdated solutions. A new challenge has emerged – the training of specialists in working with large data sets is complicated by the lack of sufficient practical experience among producers and integrators of innovative models. Methods – analytical, comparative analysis, and graphical methods were used to visualize materials and substantiate conclusions. The study includes analysis of case studies from Russia, the USA, Ukraine, Israel, and Kazakhstan, demonstrating practical adaptation of scientific approaches. Results – limitations restricting the interpretation of digital document flow in the agro-industrial complex were identified, and barriers hindering its widespread adoption in the sector were highlighted. An expert assessment was given on the current state and prospects for the implementation of analytical tools based on a wide range of factual data in the agriculture of several foreign countries, with an emphasis on the potential for transferring successful practices to the agro-industrial complex of the Republic of Kazakhstan. The use of satellite monitoring and unmanned aerial vehicles (drones) was demonstrated, providing high-precision and real-time data on the condition of agricultural land. Conclusions – priority directions for the implementation of these nanotechnologies in the short term (5 years) were determined, and a conditional structuring of stages for the medium and long term (10 years) was proposed in the form of three sequential phases.