Authors

Virtualization technologies and information system security

The relevance of the study is dictated by the introduction of digitalization in all spheres of human life, and timely protection of information and personal data of citizens in the first place. The objective of the study was the need to transform the methods and approaches of information protection during its transmission, creation and storage. Methodological arsenal of the study is presented by scientific methods of cognition of the studied phenomenon content, the structuring of its components and the system of generalization, and analysis of the causal relationship between the visualization functionality and information security of management decisions. The author analyzed the main virtualization technologies for digital business transformation and concluded that there is the need to improve the legal framework in this area. The significance of this article lies in the fact that the use of the virtualization method will increase the level of business security with minimal losses. Current GOST R 56938-2016 "Information protection when using virtualization technologies" does not fully reflect the issues of information protection in terms of its visualization, which leads to the need to improve the legal framework when using virtualization technologies for data protection. It is essential to pay special attention to cloud storage, collaboration and communication services, remote project management programs, cybersecurity solutions, and CRM systems. This is particularly relevant today during the emergence of virtual workplaces and transferring employees to remote work from home. Read more...

Business intelligence as a decision support system tool

The relevance of the topic considered in the article is to solve the problems of designing management decision support systems for enterprises based on business analytics technology. The research purpose is to analyze the applied methodologies during the design stage of the enterprise information system, to develop principles for using management decision support systems based on business intelligence. The problem statement is to analyze the technologies available on the market, which deal with business analyst systems, their potential use for decision support systems, and to identify the main stages of business analyst for enterprises. Business intelligence (BI) is information that can be obtained from data contained in the operational systems of a firm, enterprise, corporation, or from external sources. The BI can help the management of a company make the best decision in the chosen sphere of human activity faster, and, consequently, win the competition in the market for goods and services. A decision support system (DSS) which uses business intelligence, is an automated structure designed to assist professionals in making decisions in a complex environment and to objectively analyze a subject area. The decision support system is the result of the integration of management information systems and database management systems (DBMS). The internal development of BI is more cost-effective. The methods used are Structured Analysis and Design Technique and Object-oriented methods. The results of the research: the analysis of the possibilities was conducted and recommendations relating to the use of BI within DSS were given. Competition between BI software in business analysts reduces the cost of products created making them accessible to end-users – producers, traders and corporations. Read more...