RAPID DECISION-MAKING THROUGH REAL-TIME ANALYTICS SOFTWARE IN ECONOMIC SECTORS
Keywords:
real-time mode, technologies, economic sectors, monitoring, analysis, systems, market trends, visualization, finance sector.Abstract
In today’s era of technological advancement, real-time analytics software holds significant value and importance in economic sectors. These systems, which allow immediate processing of data flows, have several advantages over traditional methods, especially in enabling prompt and well-grounded decision-making by eliminating delays. This thesis examines in detail the operation stages of real-time analytics systems—data collection, processing, analysis, and visualization—and demonstrates their efficiency using advanced technologies such as Apache Kafka and Apache Spark. Furthermore, the practical application of these systems in economic sectors, including finance, retail, and industry, is illustrated through real examples.
References
"Development of Analytical Models for Processing Streaming Data in Real-Time," Xamrakulov U.Sh, Ashuraliyev A.A, Al-Farg‘oniy Avlodlari electronic scientific journal, 2024.
"Big Data and Databases: Managing Large-Scale Data," Odiljonov M.
"Real-Time Systems: An Introduction and the State-of-the-Art," Krishna Kavi
"Real-Time Analytics," Zoran Milosevic and Fethi A. Rabhi
https://press.umich.edu/Books/E/Economics-in-Real-Time
https://wso2.com/whitepapers/real-time-analytics-in-banking-and-finance-use-cases/
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Copyright © 2024 - All Rights Reserved by Research Parks Hub
© 2024 by The Authors. 
This Conference is licensed under a Creative Commons Attribution 4.0 International License.
