ОПЕРАЦІЙНА (ОНЛАЙН) АНАЛІТИКА: РЕАЛІЇ ТА ПЕРСПЕКТИВИ
OPERATIONAL (ONLINE) ANALYTICS: REALITIES AND PROSPECTS

Summary/Abstract: The goal of the work. The scientific problem is covered in order to systematize, generalize new knowledge about modern analytical technologies in terms of the present and prospects for their development. The research methodology is to apply methods of description, comparison, generalization and systematic approach. The scientific novelty of the work lies in the generalization and systematization of new knowledge about operational analytics in terms of the present and prospects for its development within one study. Conclusions. The article highlights the current views of researchers on operational analytics and its information technology - Big Data technology. The works of famous experts - Bill Franks, Tom Davenport and Joanna Harris, Victor Mayer-Schoenberger and Kenneth Cookier, Karl Anderson, Brian Clifton, Sergei Kovalev, Oleg Veres - are analyzed. Their modern views on operational analytics formed the basis of the presentation of the main material. It is emphasized that we have an objective process of society development. And it depends on our choice whether we will have a competitive advantage at the start. The essence of operational analytics, its advantages and possibilities of application in the Ukrainian realities are described. In addition, the American electronic corporation IBM («Blue Giant»), which in the «Analytics» section offers seven categories of analytical products that will satisfy the most demanding consumers because they meet the world’s standards. The paper focuses on the fact that in modern management, operational analytics is carrying out an «electronic revolution». It takes analytics beyond the traditional limits of application. It takes analytics beyond the traditional limits of application. It turned out that we have a qualitatively new tool, a new level of evolution of analytical technologies. At the same time, it is emphasized that traditional analytical methods and technologies should not be thoughtlessly rejected, as they are basic, ie the foundation on which operational analytics is built and maintained. Emphasis is placed on the fact that operational analytics opens wide possibilities for integration with various sources of information (for example, the Internet of Things) through appropriate applications, communications and electronics, while providing a single, joint provision and presentation of information based on Big Data.

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