Smart Data Ukimet. Kazakhstan

Analysis of domestic producers – an assessment of the economic health of enterprises applying for government subsidies. The real-time dashboard shows areas still dependent on imports and provides analytics on employment and payroll. Thus, the project transforms support for local production from fragmented reports into comprehensive Big Data analytics and AI-based predictive models, enabling the government to make more accurate management decisions, reduce import dependency, and develop long-term measures to stimulate the industry.

​​​The “Proactive Public Services” case focuses on transitioning from a request-based model to an automatic service delivery model for citizens. The platform enables the identification of life events (such as the birth of a child, reaching retirement age, changing residence, etc.) and proactively offers services to citizens without the need to submit an application. This approach reduces red-tape burden, accelerates access to support, minimizes human error, and enhances trust in public services. As a result, proactive services become a tool that ensures targeted and predictable social policy, while also fostering a new culture of interaction between the government and citizens.​

Smart Data Ukimet architecture relies on open-source tools, enabling the government to significantly reduce licensing and maintenance costs. This approach ensures independence from foreign vendors, flexibility in customizing solutions, and the ability to quickly adapt to new tasks. Furthermore, the use of open-source software promotes the development of local expertise, strengthens the IT community, and facilitates the adoption of advanced global technologies in public administration without excessive costs.
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