ASSESSMENT OF THE ECONOMIC EFFICIENCY OF REAL-TIME DATA PROCESSING SYSTEMS
DOI:
https://doi.org/10.5281/zenodo.23178660Abstract
This thesis examines the economic efficiency of real-time data processing systems in modern enterprises. It focuses on the use of IoT technologies, sensor networks, automated monitoring tools, cloud platforms, and enterprise information systems for processing operational data. The study highlights the potential of real-time data processing to reduce operating costs and equipment downtime, improve resource utilization, and support faster managerial decision-making. Particular attention is paid to key factors affecting economic efficiency, including system scalability, integration costs, data quality, and organizational readiness. The findings indicate that real-time data processing can contribute to improved operational efficiency, information quality, and enterprise adaptability.Keywords
real-time data, data processing, economic efficiency, IoT, digital technologies, operating costs, monitoring, enterprise performance, managerial decision-makingReferences
Republic of Uzbekistan. Resolution of the President of the Republic of Uzbekistan No. PQ-358 dated October 14, 2024, “On Approval of the Strategy for the Development of Artificial Intelligence Technologies until 2030” [in Uzbek]. National Database of Legislation of the Republic of Uzbekistan. – URL: https://lex.uz/uz/acts/-7158604
Ayupov R., H., & Baltaboeva G., R. (2019). Digital Economy: Problems and Solutions [Raqamli iqtisodiyot: muammolar va yechimlar] [in Uzbek]. International Finance and Accounting, (1).
Borowiecki, M., Pareliussen, J., Glocker, D., Kim E., J., Polder, M., & Rud, I. (2021). The Impact of Digitalisation on Productivity: Firm- Level Evidence from the Netherlands. OECD Economics Department Working Papers, (1680). https://doi.org/10.1787/e800ee1d-en
Breque, M. (2021). De Nul L., Petridis A. Industry 5.0: Towards a Sustainable, Human-Centric and Resilient European Industry. Publications Office of the European Union. https://doi.org/10.2777/308407
Gal, P., Nicoletti, G., Renault, T., Sorbe, S., & Timiliotis, C. (2019). Digitalisation and Productivity: In Search of the Holy Grail – Firm-Level Empirical Evidence from EU Countries. OECD Economics Department Working Papers, (1533). https://doi.org/10.1787/5080f4b6-en
OECD. Measuring the Digital Transformation: A Roadmap for the Future. – Paris: OECD Publishing, 2019. – 260 p. – ISBN 978-92-64-31199-2. – DOI: 10.1787/9789264311992-en. – URL: https://doi.org/10.1787/9789264311992-en
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