Study Guide

Objective

After completing the course, the student the student will:

- Understand the importance of data-driven management in decision-making and organizational development.
- Be able to identify and define the information and sources needed to support decision-making.
- Master the basics of data collection and analysis, as well as the use of data-based decision-making models.
- Develop skills in utilizing analytics and data-driven management tools in decision-making.

Content

- Fundamentals of Data-Driven Management
- Data Collection for Decision Support
- Data Analysis in Decision-Making
- Tools for Data-Driven Decision-Making

Teaching methods

The course is delivered as an independent online course in the itsLearning learning environment.

Learning methods and assignments

Recorded Online Lectures: Covering theory and practical examples of data-driven management, the basics of data analysis, and methods for supporting decision-making.
Discussions and Case Assignments: Group work and case analysis where students apply learned theory to practical scenarios.
Online Quizzes and Tests

Content scheduling

The course focuses on the role of data-driven management in supporting decision-making, particularly from the perspectives of practical data collection, analysis, and decision support.

Course Objectives
The student will:

- Understand the importance of data-driven management in decision-making and organizational development.
- Be able to identify and define the information and sources needed to support decision-making.
- Master the basics of data collection and analysis, as well as the use of data-based decision-making models.
- Develop skills in utilizing analytics and data-driven management tools in decision-making.

Core Topics

Fundamentals of Data-Driven Management

Definition and role of data-driven management
Organizational data management: How do organizations collect, store, and share information? What are the roles of data repositories and structures?
Data Collection for Decision Support

Data analysis and data collection techniques
Databases and information sources
Principles of data protection and security: Ethical use of data and privacy protection
Data Analysis in Decision-Making

Analysis tools and methods
Data-driven decision-making
Tools for Data-Driven Decision-Making

Strategic decision-making through data
Using data in strategic planning and operational decision-making

Evaluation scale

H-5

Assessment methods and criteria

The student must obtain an approved result of all assignments in the sections of the course in order for the whole to be accepted and assessable.

A maximum of 100 points can be earned for the course. Assessment of the course by score:

Excellent (5): 91100 points
Good (4): 7890 points
Good (3): 6377 points
Satisfactory (2): 5062 points
Satisfactory (1): 4049 points
Rejected: 039 points