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Ю. О. Нестерова

Bio: Ю. О. Нестерова is an academic researcher. The author has contributed to research in topics: Information technology & Information system. The author has co-authored 1 publications.

Papers
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Journal ArticleDOI
04 Aug 2020
TL;DR: In this paper, the authors proposed an approach to optimize the incident management structure based on artificial intelligence tools, including machine learning, to achieve the required level of quality of information technology services provided.
Abstract: Due to the development of the digital economy and the increasing importance of information technologies in modern companies, there is a need to ensure the required level of quality of information technology services provided. At the same time, one of the most important processes for achieving effective work of employees and technologies is incident management. The business user must have continuous access to the necessary resources of the information system, and the decision in the event of an incident should not be delayed indefinitely, suspending the business process in the company. Approaches to optimizing the incident management structure based on artificial intelligence tools, including machine learning, have been considered in the article. The positive aspects of using the artificial intelligence in incident management, real examples of companies and projects have been designated, and also the modern process of user support from detecting an incident until solving it has been analysed and presented.

1 citations


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TL;DR: In this paper , the feasibility of introducing a third line of technical support to increase the proportion of incidents resolved within the framework of the Service Level Agreement adopted at the enterprise is analyzed.
Abstract: One of the most important tasks of improving the information technology infrastructure of an enterprise is to increase the efficiency of the incident management system. The relevance of this study lies in the fact that at present the work of the technical support service in the conditions of a large flow of applications accelerates violation of the deadlines for resolution established by the business. It, in turn, leads to downtime of information systems and financial losses of the enterprise. This article analyzes the feasibility of introducing a third line of technical support to increase the proportion of incidents resolved within the framework of the Service Level Agreement adopted at the enterprise. A comparative analysis of the widely used two-level model with the proposed three-level model in this work is considered, using business process model notation. The effectiveness of the model is confirmed by automated computations using metrics, by calculating the rate and satisfaction coefficients within the framework of two and three levels of the model and then comparing these indicators to establish patterns. Thus, it is possible to track how successfully and timely incidents of information systems are resolved, which in turn directly reflects the availability and correct functioning of systems and the entire company. The company's practical losses due to system downtime were calculated, as well as the resulting financial losses before and after the adopting of the three-level system, taking into account the associated costs to identify if the initiation of the model is justified and profitable. Thus, the proposed model can be adopted by organizations in order to improve the quality of services provided by the IT department, to reduce the effect and impact of incidents on the performance and availability of systems that affect the formation of financial statements