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  6. Analysis and Forecast of the Company’s Activity

Analysis and Forecast of the Company’s Activity

COURSE ANNOTATION

Analysis and Forecast of the Company’s Activity

Recommended for students of the second (master’s) level of higher education

Course Objective: The course aims to develop competencies in analyzing and forecasting company activities based on structured data processing in Business Intelligence (BI) software, specifically MS Power Pivot, MS Power BI, and Diamond FMS.

Interdisciplinary Connections: The training course ‘Analysis and Forecast of the Company’s Activity’ is based on the synthesis of knowledge, skills, and competencies obtained in other disciplines, including commercial activity management, business administration, entrepreneurship, sociology, and informatics.

Learning Outcomes and Methods:

Learning Outcomes, Teaching Methods, and Assessment Tools

Learning Outcomes

Teaching Methods

Assessment Tools

Understanding the principles of forming an enterprise’s information base to identify key success factors, build financial models, and forecast development trends through enhanced cognitive analysis and automation of analytical and management processes.

Lectures, discussions

Surveys, interviews, testing

Ability to forecast strategic initiatives' outcomes using financial models.

Demonstration, case studies, mini-training

Preparation of analytical reports, training assignments, testing

Development of a financial model of the company based on internal management reporting using MS Power Pivot and Diamond FMS.

Project-based learning, mini-training, teamwork

Preparation of analytical reports

Analysis of financial and non-financial information to identify key business performance factors using MS Power Pivot and Diamond FMS.

Demonstration, case studies

Preparation of analytical reports

Ability to generate analytical reports and forecasts on business performance using MS Power BI, MS Power Pivot, and Diamond FMS.

Project-based learning, demonstration, case studies

Preparation of analytical reports

Course Content:

1.     Essence and principles of business forecasting.

2.     General characteristics of Business Intelligence methodology.

3.     Types of Business Intelligence software.

4.     Data configuration in BI-class software.

5.     Development of a financial business model based on a structured database.

6.     Company performance analysis and identification of key success factors.

7.     Building a financial business model.

8.     Forecasting the Income Statement and Balance Sheet.

9.     Generating reports using Diamond FMS.

Course Instructors:

• Olena O. Kyzenko, Doctor of Economics, Associate Professor, Professor at the Department of Business Economics and Entrepreneurship. Email: e.kyzenko@kneu.edu.ua

• Olena M. Grebeshkova, PhD in Economics, Associate Professor at the Department of Business Economics and Entrepreneurship. Email: grebeshkova@kneu.edu.ua

Recommended Resources:

1.     Hyndman, R.J., & Athanasopoulos, G. (2021) Forecasting: Principles and Practice, 3rd Edition, OTexts: Melbourne, Australia. URL: https://otexts.com/fpp3/index.html. Accessed on 31.08.2023.

2.     Bilyk T.O., Shatarska I.F. Forecasting in Economics and Management: Textbook. Kyiv: KNEU, 2018. – 244 p.

3.     Churnous G., Vetchinov O. Business Intelligence Technology: Opportunities, Applications, and Features in Ukraine. – 2012. – No. 140.

Last redaction: 18.03.25