Web-analytics for business

dc.contributor.authorRayevnyeva, Olena
dc.contributor.authorAksonova, Iryna
dc.contributor.authorBrovko, Olha
dc.contributor.authorShlykova, Viktoriia
dc.date.accessioned2024-09-27T11:33:13Z
dc.date.issued2021
dc.description.abstractIn the modern conditions of the development of a digital society, the importance of Web analytics is increasing as a system of collecting, analyzing and interpreting statistical information about site visitors of various business structures in order to identify and understand the reasons for their actions and further optimize activities. The discipline "Web analytics for business" is aimed at mastering modern digital practices and technologies of working with information, effective tools of web analytics, understanding that analytics is a key skill in business product management. In the process of studying the discipline there is a practical mastering of the methodology of search engine optimization on the Internet, which involves clarifying the nature, content, purpose and objectives of web analytics, mastering the methodological tools for measuring and analyzing web data to make decisions aimed at optimizing the use of web tools firms. The purpose of the discipline "Web analytics for business" is to acquire theoretical knowledge and practical skills in the basics of web analysis of various web resources to assess their effectiveness and optimize business activities. The subject of the discipline is a variety of businesses that use digital analytical tools to obtain information on the basis of which sound management decisions are made to optimize activities and further development. The subject of the discipline are digital tools for searching and analyzing information, web analytics services that allow you to collect, measure, evaluate data, visualize them, present in order to make management decisions to improve business efficiency.
dc.identifier.citationWeb-analytics for business [Electronic resource] : syllabus of the descipline / comp.: Rayevnyeva O., Aksonova I., Brovko O., Shlykova V. ; Simon Kuznets Kharkiv National University of Economics. – Electronic text data. – Kharkiv : S. Kuznets KhNUE, 2021. – 10 p. – URI: https://repository.kpi.kharkov.ua/handle/KhPI-Press/81730.
dc.identifier.orcidhttps://orcid.org/0000-0003-0260-4249
dc.identifier.orcidhttps://orcid.org/0000-0003-2605-0455
dc.identifier.orcidhttps://orcid.org/0000-0003-0136-9355
dc.identifier.urihttps://repository.kpi.kharkov.ua/handle/KhPI-Press/81730
dc.language.isoen
dc.publisherSimon Kuznets Kharkiv National University of Economics
dc.subjectsyllabus
dc.subjectinformation technology
dc.subjectcomputer systems
dc.subjectdigital resources
dc.subjectsoftware
dc.subjectweb analytics
dc.subjectsocial networks
dc.subjectbusiness
dc.titleWeb-analytics for business
dc.typeLearning Object

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