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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">discourse</journal-id><journal-title-group><journal-title xml:lang="ru">Дискурс</journal-title><trans-title-group xml:lang="en"><trans-title>Discourse</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2412-8562</issn><issn pub-type="epub">2658-7777</issn><publisher><publisher-name>СПбГЭТУ «ЛЭТИ»</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.32603/2412-8562-2018-4-6-62-66</article-id><article-id custom-type="elpub" pub-id-type="custom">discourse-226</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>ЭКОНОМИКА И УПРАВЛЕНИЕ НАРОДНЫМ ХОЗЯЙСТВОМ</subject></subj-group></article-categories><title-group><article-title>ТЕХНОЛОГИИ BUSINESS INTELLIGENCE И ИХ ВОСТРЕБОВАННОСТЬ НА РЫНКЕ ТРУДА</article-title><trans-title-group xml:lang="en"><trans-title>BUSINESS INTELLIGENCE TECHNOLOGIES AND THEIR RELEVANCE IN THE LABOR MARKET</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Жернаков</surname><given-names>А. Б.</given-names></name><name name-style="western" xml:lang="en"><surname>Zhernakov</surname><given-names>A. B.</given-names></name></name-alternatives><email xlink:type="simple">noemail@neicon.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Оразвалиев</surname><given-names>Р. О.</given-names></name><name name-style="western" xml:lang="en"><surname>Orazvaliev</surname><given-names>R. O.</given-names></name></name-alternatives><email xlink:type="simple">orazvaliev@rambler.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru">Санкт-Петербургский государственный электротехнический университет «ЛЭТИ» им. В. И. Ульянова (Ленина)<country>Россия</country></aff><aff xml:lang="en">Saint Petersburg Electrotechnical University «LETI»<country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2018</year></pub-date><pub-date pub-type="epub"><day>28</day><month>12</month><year>2018</year></pub-date><volume>4</volume><issue>6</issue><fpage>62</fpage><lpage>66</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Жернаков А.Б., Оразвалиев Р.О., 2018</copyright-statement><copyright-year>2018</copyright-year><copyright-holder xml:lang="ru">Жернаков А.Б., Оразвалиев Р.О.</copyright-holder><copyright-holder xml:lang="en">Zhernakov A.B., Orazvaliev R.O.</copyright-holder><license license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://discourse.elpub.ru/jour/article/view/226">https://discourse.elpub.ru/jour/article/view/226</self-uri><abstract><p>Ведение успешного бизнеса в отраслях с высоким уровнем конкуренции уже невозможно без внедрения в управленческую деятельность современных автоматизированных аналитических средств, объединенных под термином «Business Intelligence». В статье рассмотрена краткая структура концепции Business Intelligence и ее основные компоненты: Data Warehouses (хранилища данных), ETL (Extract, Transform, Load) системы, OLAP (Online Analytical Processing) технологии и Data Mining. Также рассмотрены такие лидеры рынка комплексных платформ, поддерживающих инструментарий BI, как MS SQL Server и Power BI от компании Microsoft, Oracle BI, Cognos BI от компании IBM, продукты компании QlikView, а также SAP Business Objects от SAP. Проведено исследование востребованности навыков работы с инструментами и платформами Business Intelligence на российском рынке труда на основе данных с сайта компании интернет-рекрутмента HeadHunter.</p></abstract><trans-abstract xml:lang="en"><p>It is no longer possible to run a successful business in highly competitive industries without introducing modern automated analytical tools termed "Business Intelligence" into management activities. The article considers a brief structure of the concept of "Business Intelligence" and its main components: Data Warehouses, ETL (Extract, Transform, Load) systems, OLAP (Online Analytical Processing) technology and Data Mining. The article also reviews market leaders of complex platforms that support BI tools, such as MS SQL Server and Power BI from Microsoft, Oracle BI, Cognos BI from IBM, QlikView products, as well as SAP Business Objects from SAP. The demand for skills in the field of "Business Intelligence" tools and platforms in the Russian labor market is studied based on data from the website of HeadHunter, an Internet recruitment company.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>бизнес-процессы</kwd><kwd>системный анализ</kwd><kwd>корпоративное управление</kwd><kwd>профессиональные навыки</kwd></kwd-group><kwd-group xml:lang="en"><kwd>Business Intelligence</kwd><kwd>Business Intelligence</kwd><kwd>business processes</kwd><kwd>system analysis</kwd><kwd>corporate management</kwd><kwd>professional skills</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Luhn H. P. A Business Intelligence System // IBM J. 1958. Vol. 2. Iss. 4. P. 314-319.</mixed-citation><mixed-citation xml:lang="en">Luhn H. P. A Business Intelligence System // IBM J. 1958. Vol. 2. Iss. 4. P. 314-319.</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Nake F. Data, Information, and Knowlidge. A semiotic view of phenomena of organization // Chemie dez Erde-geochimistry. 2002. P. 653-662.</mixed-citation><mixed-citation xml:lang="en">Nake F. Data, Information, and Knowlidge. A semiotic view of phenomena of organization // Chemie dez Erde-geochimistry. 2002. P. 653-662.</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">Business Intelligence (рынок России). URL: http://www.tadviser.ru/index.php/Статья:Business_ Intelligence_(рынок_России) (дата обращения: 17.10.2018).</mixed-citation><mixed-citation xml:lang="en">Business Intelligence (рынок России). URL: http://www.tadviser.ru/index.php/Статья:Business_ Intelligence_(рынок_России) (дата обращения: 17.10.2018).</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">Lloyd J. Identifying Key Components of Business Intelligence Systems and Their Role in Managerial Decision making. URL: https://scholarsbank.uoregon.edu/xmlui/bitstream/handle/1794/11389/Lloyd-2011.pdf (дата обращения: 17.10.2018).</mixed-citation><mixed-citation xml:lang="en">Lloyd J. Identifying Key Components of Business Intelligence Systems and Their Role in Managerial Decision making. URL: https://scholarsbank.uoregon.edu/xmlui/bitstream/handle/1794/11389/Lloyd-2011.pdf (дата обращения: 17.10.2018).</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Business Intelligence using Data Mining techniques and Business Analytics / B. K. Mishra, D. Hazra, K. Tarannum, M. Kumar // 5th International Conference on System Modeling &amp; Advancement in Research Trends (SMART-2016), 25-27' Nov., 2016 / College of Computing Sciences &amp; Information Technology, Teerthanker Mahaveer Univ. Moradabad, India, 2016. P. 84-89.</mixed-citation><mixed-citation xml:lang="en">Business Intelligence using Data Mining techniques and Business Analytics / B. K. Mishra, D. Hazra, K. Tarannum, M. Kumar // 5th International Conference on System Modeling &amp; Advancement in Research Trends (SMART-2016), 25-27' Nov., 2016 / College of Computing Sciences &amp; Information Technology, Teerthanker Mahaveer Univ. Moradabad, India, 2016. P. 84-89.</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Gartner Magic Quadrant for Analytics and Business Intelligence Platforms 2018. URL: https://info.microsoft.com/rs/157-GQE-382/images/EN-CNTNT-Gartner-MQAnalytics_BI2018.JPG (дата обращения: 18.10.2018).</mixed-citation><mixed-citation xml:lang="en">Gartner Magic Quadrant for Analytics and Business Intelligence Platforms 2018. URL: https://info.microsoft.com/rs/157-GQE-382/images/EN-CNTNT-Gartner-MQAnalytics_BI2018.JPG (дата обращения: 18.10.2018).</mixed-citation></citation-alternatives></ref></ref-list><fn-group><fn fn-type="conflict"><p>The authors declare that there are no conflicts of interest present.</p></fn></fn-group></back></article>
