Project "Smart Data Ukimet"

Smart Data Ukimet is a set of tools that allows you to monitor the economic situation in Kazakhstan and predict future development using BIG DATA.

At present, the databases of information systems of government agencies have accumulated a large amount of useful information.

In this regard, there was a need to create a single space for large data from different sources, as well as to provide analytical information about the activities of public bodies.

This information is valuable both for the intellectual analysis of data within each public body and at the level of the analysis of interagency data of the Government as a whole. Thus, a considerable amount of large data has already been created which are suitable for analysis by specialized tools.

Thanks to project start, the information is processed and placed in the form of tables, schedules and visual panels, variant prediction calculations of indicators are carried out, complexes of models of scenario prediction are developed. Processing large amounts of data has become easier and faster. The Smart Data Ukimet Situation Center was launched to support the project in the pilot mode. In fact, it is the basic basis for the digital transformation of public administration. The project will also allow monitoring the information space - both international and domestic, coordination of crisis and emergency situations. As part of the pilot launch, the system was tested, the level of information security was tested and databases were updated. In addition, a draft Regulation on interaction between Smart Data Ukimet and information systems of government agencies (MNE RK, MH RK, MLSPP RK, MF RK, MES RK, MISD RK) was developed, which allowed to simplify the work between agencies.

Read more about the project: http://egov.kz/cms/ru/ai-big-data

The tasks of the project "Smart Data Ukimet":

• monitoring the current state of the economy;
• creation of a single large data space as the basis for the application of artificial intelligence;
• identification of discrepancies, dependencies and implicit data of the CS;
• forecasting and modelling the consequences of management decisions.

2018

• Implementation of architecture;
• Connection of information systems of 5 pilot ministries: Ministry of National Economy, Ministry of Education and Science, Ministry of Healthcare, Ministry of Labour and Social Protection of Population and Ministry of Finance;
• Visualization of the indicators agreed during the project;
• System user training.

2019

• Connecting new sources: Ministry of Information and Public Development, Ministry of Finance (second stage), Ministry of Agriculture, Ministry of Justice, Ministry of Internal Affairs, Ministry of Energy, local executive bodies;
• Implementation of predictive and analytical models;
• Training of data analysts on working with analytical components for independent building of analytical models;
• Increase of system functionality, accumulation of historical information.

2020

• Connecting new sources: Ministry of Industry and Infrastructure Development, Ministry of Foreign Affairs, other information systems according to the PMO architectural plan;
• Training of algorithms of analytical system to work with accumulated information to obtain reliable analyses and forecasts (machine learning, Artificial Intelligence).

2021

• Connecting external resources, including information systems of the quasi-state sector;
• Construction of a wide range of analyses and forecasts by data analysts, introduction of new methods.