MONITORING OF STATE POLICY WITH THE HELP OF MODERN INFORMATION TECHNOLOGIES
The article states that a high level of analytical support should be provided during the development of national security policy. Therefore, there is a need to create new conceptual approaches based on the methodology of systems analysis and information technology, including big data. This makes it possible to forecast and make decisions in the field of national security with the help of appropriate indicators and indices.
Attention is drawn to the fact that when monitoring national security with the help of indicators, indices and their threshhold values, it is important to monitor the dynamics of processes taking place in different areas of national security, and not by individual events. This approach makes it possible to consider the management of the national security system with the help of threshhold values and indicators as a regulatory activity.
Attention is drawn to the fact that traditionally the analysis in the field of national security was based on the data of the security and defense sector. These data concerned the events that had already taken place. However, borrowing external data opens up greater opportunities for moving along the chain of analytical research: from assessing past events to reliably predicting future challenges and threats to national security. Therefore, the process of making strategic decisions using Big Data technology can be organized using the pyramid DIKW. The use of indicators and indicators of national security in the three-level system of national security is considered. The goals and objectives of the strategic, tactical and operational levels are determined by current legislation and the higher (strategic) level.
The emphasis is on the fact that Big Data provides additional context by integrating external data to turn data into information. With the help of appropriate doctrines, concepts and strategies, this information can be further improved. Given the differences in the rate of change at all levels of the hierarchy of national security, we can conclude that all levels are responsible for implementing main directions of the state national security policy, although they are based on different national security indicators, their statistical characteristics, expert assessments, thresholds.
2. Skyena, S. (2020). Nauka o dannykh [Data Science]. M., SPb.: Diameil (529 p.) [in Russian].
3. Shmidt, E., Koen, G. (2013). Novyi tsyfrovoi mir. Kak tekhnologii meniaiut zhyzn liudei, modeli biznesa i poniatie gosudarstva [The new digital world. How technologies change people's lives, business models and the concept of the state]. (S. Filin, Transl.). M.: Mann, Ivanov & Farber (368 p) [in Russian].
4. Vaigend, A. (200). BIG DATA. Vsia tekhnologia v odnoi knige [BIG DATA. All technology in one book]. M.: Nauka (511 p.) [in Russian].
5. Frenks, B. (2014). Ukroshchenie bolshykh dannykh: kak izvlech znania iz massivov informatsii s pomoshchiu glubokoi analitiki [Taming big data: how to extract knowledge from arrays of information using deep analytics]. (A. Baranov, Transl.). M.: Mann, Ivanov & Farber (352 p.) [in Russian].
6. Erl, T., Hattak, V., & Buhler, P. (2018). Big Data: Kontseptsyi, algoritmy i tekhnologii [Big Data: Concepts, Algorithms, and Technologies]. Dnipro: «Balans Biznes Buk» (320 p.) [in Russian].
7. Gig, J. van. (1981). Prikladnaia obshchaia teoria sistem [Applied general systems theory]. M.: Mir. Vol. 2 (730 p.) [in Russian].
8. Kachynskyi, A. B. (2015). «Velyki dani» – stratehichnyi priorytet informatsiino-analitychnoi roboty Sluzhby bezpeky Ukrainy ["Big data» – a strategic priority of information and analytical work of the Security Service of Ukraine]. In: Aktualni problemy upravlinnia informatsiinoiu bezpekoiu derzhavy – Actual problems of information security management of the state. Kyiv (pp. 266–269) [in Ukrainian].
9. Mesarovich, M., Mako, D., & Takahara, J. (1973). Teoriia yierarkhicheskikh mnohourovnevykh sistem [Theory of hierarchical multilevel systems]. M.: Mir (344 p.) [in Russian].
10. Mogilevskiy, V. D. (1999). Metodologiia system [Systems methodology]. M.: Ekonomika Publishing House (251 p.) [in Russian].
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