Analytics of financial business processes

2026/2027

Учебный год

ENG

Обучение ведется на английском языке

3

Кредиты

Кто читает:

Департамент финансов

Статус:

Курс по выбору

Когда читается:

1-й курс, 4 модуль

Course Syllabus

Abstract

The *Financial Business Process Analytics* discipline is aimed at providing students with theoretical knowledge and practical skills in analysing financial data, optimising business processes and making data-driven management decisions in corporate finance. The course covers key aspects of financial modelling, risk assessment, performance metrics and application of modern analytical tools. Students will learn how to interpret financial statements and develop strategies to improve financial performance.

Learning Objectives

• The purpose of the discipline is to form students' theoretical knowledge and practical skills on the basics of methodology and organisation of financial business processes of companies

Expected Learning Outcomes

• Obtaining the knowledge of key concepts of business processes (definition, components, types)
• Obtaining the knowledge of business Process Modelling Notation (BPMN) and other modelling standards
• Obtaining the knowledge of process mapping techniques (flowcharts, line diagrams, value stream mapping)
• Obtaining the knowledge of methods of analysing business processes (HOW IS and HOW WILL analysis, root cause analysis)
• Obtaining the knowledge of performance indicators (key performance indicators, cycle time, bottlenecks, efficiency ratios)

Course Contents

• Topic 1: Introduction to Business Processes
• Topic 2: Types of business processes
• Topic 3: Why describe business processes?
• Topic 4: Methods of business process description
• Topic 5: Business Process Analysis
• Topic 6: Mapping the value creation stream
• Topic 7: Root Cause Analysis
• Topic 8: Optimisation of business processes
• Topic 9: Automation
• Topic 10: Business Process Reengineering (BPR)
• Topic 11: Continuous Improvement
• Topic 12: Lean Production Methodology
• Topic 13: Six Sigma
• Topic 14: Kaizen
• Topic 15: Process optimisation challenges
• Topic 16: Tools for process optimisation

Assessment Elements

• Final exam
• Classroom activity
• Mid-term test

Interim Assessment

• 2026/2027 4th module
  0.3 * Mid-term test + 0.5 * Final exam + 0.2 * Classroom activity

Bibliography

Recommended Core Bibliography

• Nabavi, M., & Olson, D. L. (2019). Introduction to Business Analytics. New York: Business Expert Press. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1922612

Recommended Additional Bibliography

• S. Christian Albright, & Wayne L. Winston. (2019). Business Analytics: Data Analysis & Decision Making, Edition 7. Cengage Learning.

Authors

• Soloveva Ekaterina Evgenevna