Innovation in Business Analysis

Major: System Analysis
Code of subject: 6.124.01.E.090
Credits: 6.00
Department: Information Systems and Networks
Lecturer: O.I. Tomyak, business analyst at Perfectial IT company
Semester: 8 семестр
Mode of study: денна
Learning outcomes: The study of the discipline involves the achievement of such a qualification level of bachelor's degree, for which he must: a) know: - the main capabilities of business intelligence platforms used in marketing and business management; - rules and methods for building analytical reports, dashboards, monitoring information panels and storytelling to support decision-making; - basics of organizing and conducting business research and business analysis; - major international research and analytical companies, their specifics; b) be able to: - analyze consumer needs and identify target markets for innovative products; - to analyze the life cycle of technology development, competitive analysis of technological solutions and their suppliers; - seek and use the necessary results of research and analytics; - make government decisions based on the use of modern analytical tools; - communicate with influential international analytical companies; - use modern Business Intelligence technologies for information and analytical support of business - have OLAP-technologies and Data Discovery technologies - have the tools to generate analytical reports, dashboards and "messages" to support decision-making in marketing and business management.
Required prior and related subjects: Business analysis technologies Intelligent Technology Business Analysis
Summary of the subject: Topic 1. Operational analytical processing Topic 2. Qlik Sense business intelligence platform Topic 3. Tableau business analytics platform Topic 4. Power BI business intelligence platform Topic 5. Information resources and their use in business research and business analytics Topic 6. Resources of international research and analytical companies Topic 7. IT innovation in business
Assessment methods and criteria: • Current control (45%): written reports on laboratory work, oral examination; • Final control (55% of exam): in written.
Recommended books: 1. Аббакумов В.Л., Лёзина Т.А. Бизнес-анализ информации. Статистические методы: Учебник. – М. ЗАО «Издательство «Экономика», 2009. – 374 с. 2. Барсегян А.А., Куприянов М.С., Степаненко В.В., Холод И.И. Технологии анализа данных: Data Mining, Visual Mining, Text Mining, OLAP. Учебное пособие. 2-е изд. – СПб: ПХВ-Петербург, 2007. – 384 с. 3. Барышева А.В., Балдин К.В., Галдицкая С.Н. Инновации. - М.: Изда-тельский дом Дашков и К, 2007. 4. Загорулько Ю. А., Загорулько Г. Б. - ИСКУССТВЕННЫЙ ИНТЕЛЛЕКТ. ИНЖЕНЕРИЯ ЗНАНИЙ. Учебное пособие для вузов - М.:Издательство Юрайт - 2019 - 93с. - ISBN: 978-5-534-07198-6 - Текст электронный // ЭБС ЮРАЙТ - URL: https://urait.ru/book/iskusstvennyy-intellekt-inzheneriya-znaniy- 442134

Innovation in Business Analysis (курсова робота)

Major: System Analysis
Code of subject: 6.124.01.E.092
Credits: 2.00
Department: Information Systems and Networks
Lecturer: O.I. Tomyak, business analyst at Perfectial IT company
Semester: 8 семестр
Mode of study: денна
Learning outcomes: The study of the discipline involves the achievement of such a qualification level of bachelor's degree, for which he must: a) know: - the main capabilities of business intelligence platforms used in marketing and business management; - rules and methods for building analytical reports, dashboards, monitoring information panels and storytelling to support decision-making; - basics of organizing and conducting business research and business analysis; - major international research and analytical companies, their specifics; b) be able to: - analyze consumer needs and identify target markets for innovative products; - to analyze the life cycle of technology development, competitive analysis of technological solutions and their suppliers; - seek and use the necessary results of research and analytics; - make government decisions based on the use of modern analytical tools; - communicate with influential international analytical companies; - use modern Business Intelligence technologies for information and analytical support of business - have OLAP-technologies and Data Discovery technologies - have the tools to generate analytical reports, dashboards and "messages" to support decision-making in marketing and business management.
Required prior and related subjects: Business analysis technologies Intelligent Technology Business Analysis
Summary of the subject: Topic 1. Operational analytical processing Topic 2. Qlik Sense business intelligence platform Topic 3. Tableau business analytics platform Topic 4. Power BI business intelligence platform Topic 5. Information resources and their use in business research and business analytics Topic 6. Resources of international research and analytical companies Topic 7. IT innovation in business
Assessment methods and criteria: • final control (course work): protection (100%)
Recommended books: 1. Аббакумов В.Л., Лёзина Т.А. Бизнес-анализ информации. Статистические методы: Учебник. – М. ЗАО «Издательство «Экономика», 2009. – 374 с. 2. Барсегян А.А., Куприянов М.С., Степаненко В.В., Холод И.И. Технологии анализа данных: Data Mining, Visual Mining, Text Mining, OLAP. Учебное пособие. 2-е изд. – СПб: ПХВ-Петербург, 2007. – 384 с. 3. Барышева А.В., Балдин К.В., Галдицкая С.Н. Инновации. - М.: Изда-тельский дом Дашков и К, 2007. 4. Загорулько Ю. А., Загорулько Г. Б. - ИСКУССТВЕННЫЙ ИНТЕЛЛЕКТ. ИНЖЕНЕРИЯ ЗНАНИЙ. Учебное пособие для вузов - М.:Издательство Юрайт - 2019 - 93с. - ISBN: 978-5-534-07198-6 - Текст электронный // ЭБС ЮРАЙТ - URL: https://urait.ru/book/iskusstvennyy-intellekt-inzheneriya-znaniy- 442134