Infopaket

Business intelligence

ВК 3.2.10

Вибіркова дисципліна для ОП

Second

2023/2024

4 Semester

4

Identify problems in the organization and justify methods for solving them. Plan the activities of the organization in strategic and tactical sections. Have the skills to make, justify and ensure the implementation of management decisions in unpredictable conditions, taking into account the requirements of current legislation, ethical considerations and social responsibility. Organize and carry out effective communication within the team, with representatives of various professional groups and in the international context. Identify and classify new tasks in the field of management, describe, analyze and evaluate relevant objects, phenomena and processes, choose the best methods for their study. Apply modern methodological and methodological tools for managing consulting projects, justify management decisions for the development, implementation and monitoring of consulting changes in the client organization.

Full-time form

1. A prerequisite for successful mastering of the subject is the preliminary preparation of students in economics (macro and microeconomics) and computer science, subjects "Insurance", "Risk management", "Finance" and others. 2. Knowledge of basic fundamentals of economics, finance, management of computer science.

This course provides an introduction to business intelligence, including the processes, methodologies, infrastructure and current practices that are used to transform business data into useful information and support business decision-making. Business analytics requires knowledge of the basics of the data storage and retrieval process, so this course examines logical data models for both database management systems and data warehouses. The subject of study of the discipline are theoretical and practical provisions of business process analysis.

1. A Guide to the Business Analysis Body of Knowledge (BABOK Guide) // International Institute of Business Analysis, Canada. – 2009. – v. 2.0. – 264p. 2. Thomas H. Davenport and Jeanne G. Harris. Competing on analytics: the new science of winning. // HBS Publishing Corporation. – 2017.- 218pp 3. Data Mining Techniques for Marketing, Slaes and Customer Relationship Management / Michael J.A. Berry, Gordon S. Linoff. – Wiley Publishing, Inc, 2011. – 3nd ed. – 643p. 4. Data Mining: Concepts and Techniques / Han J., Kamber M. – Elsevier Inc, 2011. – 2nd ed. – 745p. 5. Management Information Systems / Kenneth C. Laudon, Jane P. Laudon. – Pearson Education, Inc, 2014. – 10th ed. URL:repository.dinus.ac.id/docs/ajar/Kenneth_C.Laudon%2CJane_P_.Laudon_Management_Information_Sysrem_13th_Edition_.pdf

Problem-oriented learning: lectures; seminars; discussion; consideration of practical situations; performance of situational tasks; performance and presentation of group and individual tasks; consultations; independent work

The semester number of points is formed by the points received by the student in the process of mastering the material on all topics of the content modules and performing all these individual analytical and computational tasks. The final control is carried out in the form of a written test, which is evaluated with a maximum of 20 points and is conducted in one of the last seminars in the discipline. The final grade in the student's discipline is presented based on the results of work during the semester as the sum of points obtained during the academic semester, including points obtained for independent work and the final test.

English