Abstract
The article is devoted to the study of the current state of «big data» analysis by enterprises and key trends in the field of business intelligence. Object of study – the use of «big data» in economic analysis. Purpose – to investigate the current state of «big data» analysis by enterprises and trends in the field of business intelligence. Methods of research – analysis, synthesis, generalization, systematization, graphic. The article examines statistics of the domestic enterprises' analysis of «big data» by sources of «big data» and by methods and techniques of analysis with a breakdown by type of economic activity and number 398 of employees. There is given an overview of the market of analytics and business intelligence platforms to work with «big data», their opportunities, advantages and disadvantages are analyzed. Key trends in the field of data and analytics for the near future are identified. It is established that the main problems in the development of the direction of «big data» processing in economic analysis in Ukraine are organizational and financial difficulties, lack of qualified personnel and lack of proper experience. A significant barrier to the use of business intelligence tools is the lack of practice of accumulating «big data» and the low quality of these data in domestic companies. These factors will significantly contribute to the further growth of the market of outsourcing services for business analysis of «big data». In the current conditions, it is expedient to introduce a single state operator of «big data», as they include personal data of citizens, which requires appropriate regulation and control. KEYWORDS: BUSINESS ANALYTICS, BIG DATA, ECONOMIC ANALYSIS, PLATFORMS OF ANALYTICS AND BUSINESS ANALYSIS, ARTIFICIAL INTELLIGENCE, MACHINE LEARNING, AUGMENTED ANALYTICS, CLOUD ANALYTICS
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.