Digital Company Management and Business Analytics
gulcin.buyukozkan@gmail.com
gulermerve93@gmail.com
Content
Objective
The survival of companies today is directly related to their ability to use digital technologies and systems.
In this course, digital transformation, industry 4.0, digital business management, and data/business analytics will be introduced, and industrial applications in digital business management and data/business analytics will be examined. In this context, the objectives of the course are determined as follows:
- To provide students with basic knowledge of digital company management and basic approaches to the strategic role of digital transformation in management
- To enable students to develop basic skills in planning, designing, and managing digital transformation in different businesses
- To provide students with an overview of how to use industrial engineering-based solution methods for potential problems that digital companies may face
- To provide students with basic knowledge of data/business analytics, business intelligence, and data science
- To provide students with a perspective on data/business analytics applications in businesses
- Enable students to learn and use a data/business analytics tool
Course Content
Week 1: Digital company management, digital technologies, and systems, organizations and strategies in a globalized business world
Week 2: Planning and development for digital companies - Digital technologies infrastructure and current technologies
Week 3: Industry 4.0, digital transformation and digital technologies
Week 4: E-business and e-commerce; mobile business and mobile commerce; digital business
Week 5: Improving decision-making for digital companies - Decision support systems
Week 6: Digital transformation case studies
Week 7: Seminar - Digital transformation
Week 8: Seminar - Fundamentals of data/business analytics
Week 9: Midterm Exam
Week 10: Data/business analytics with Tableau
Week 11: Data/business analytics with Tableau
Week 12: Data/business analytics with Tableau
Week 13: Data/business analytics case studies
Week 14: Project presentations
Course Learning Outcomes
1. Define the digital company; explain the strategic role of information systems in digital companies and acquire basic knowledge on planning, designing, and managing them effectively.
2. Define Industry 4.0, digital transformation concepts, digital technologies, and data/business analytics; acquire basic knowledge and interpret information about the applications of these topics in the industry.
3. Acquire basic knowledge about data/business analytics; solve a problem using a data/business analytics tool; analyze and interpret the results.
4. To be able to research digital technologies and data/business analytics, analyze a problem/topic in detail by working in a team, and communicate the results obtained.
5. Analyze, solve, and interpret problems/cases related to digital company management and data/business analytics.
Teaching and Learning Methods
Lecture, Case study, Project
References
1. Management Information Systems: Managing the Digital Firm (15th Edition), Kenneth C. Laudon & Jane P. Laudon. Pearson Education 2017.
2. Analytics: Data Analysis & Decision Making (5th Edition), S. Christian Albright & Wayne L. Winston. Cengage Learning 2014.
Software to be used in the course:
• Tableau: https://www.tableau.com/
Important web addresses:
• Türkiye Bilişim Derneği: http://www.tbd.org.tr/
• Türkiye Bilişim Vakfı: http://www.tbv.org.tr/
• Bilgi Toplumu - E-Devlet Türkiye: http://www.bilgitoplumu.gov.tr/
Scientific journals that can be utilized:
• Information & Management, www.sciencedirect.com
• Journal of Strategic Information Systems, www.sciencedirect.com
• Electronic Commerce Research and Applications, www.sciencedirect.com
Weekly Contents
| Week | Weekly Contents |
|---|---|
| 1 | Digital company management, digital technologies and systems, organizations and strategies in a globalized business world |
| 2 | Planning and development for digital companies - Digital technologies infrastructure and current technologies |
| 3 | Industry 4.0, digital transformation and digital technologies |
| 4 | E-business and e-commerce; mobile business and mobile commerce; digital business |
| 5 | Improving decision making for digital companies - Decision support systems |
| 6 | Digital transformation case studies |
| 7 | Seminar - Digital transformation |
| 8 | Seminar - Fundamentals of data/business analytics |
| 9 | Midterm Exam |
| 10 | Data/business analytics with Tableau |
| 11 | Data/business analytics with Tableau |
| 12 | Data/business analytics with Tableau |
| 13 | Data/business analytics case studies |
| 14 | Project presentations |
Assessment System
| Activities | Number | Contribution |
|---|---|---|
| Contribution of in-term studies to overall grade | 3 | 60 |
| Contribution of final exam to overall grade | 1 | 40 |
| Total | 4 | 100 |
| Activities | Number | Contribution |
|---|---|---|
| Assignments | 1 | 10 |
| Presentation | 0 | 0 |
| Midterm Examinations (including preparation) | 1 | 30 |
| Project | 1 | 20 |
| Laboratory | 0 | 0 |
| Other Applications | 0 | 0 |
| Quiz | 0 | 0 |
| Term Paper/ Project | 0 | 0 |
| Portfolio Study | 0 | 0 |
| Reports | 0 | 0 |
| Learning Diary | 0 | 0 |
| Thesis/ Project | 0 | 0 |
| Seminar | 0 | 0 |
| Other | 0 | 0 |
| Total | 3 | 60 |
Relation of Proficiency
| No | Program Learning Outcomes | Contribution | ||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||
| 1 | Knowledge and understanding of a wide range of basic sciences (math, physics, ...) and the main concepts of engineering | X | ||||
| 2 | Ability to combine the knowledge and skills to solve engineering problems and provide reliable solutions | X | ||||
| 3 | Ability to select and apply methods of analysis and modeling to ask, reformulate and solve the complex problems of industrial engineering | X | ||||
| 4 | Ability to conceptualize complex systems, processes or products under practical constraints to improve their performance, ability to use innovative methods of design | |||||
| 5 | Ability to design, select and apply methods and tools needed to solve problems related to the practice of industrial engineering, ability to use computer technology | X | ||||
| 6 | Ability to design experiments, collect and interpret data and analyze results | |||||
| 7 | Ability to work independently, ability to participate in working groups and have a multidisciplinary team spirit | X | ||||
| 8 | Ability to communicate effectively, ability to speak at least two foreign languages | X | ||||
| 9 | Awareness of the need for continuous improvement of lifelong learning, ability to keep abreast of scientific and technological developments to use the tools of information management | X | ||||
| 10 | Awareness of professional and ethical responsibility | |||||
| 11 | Knowledge of the concepts of professional life as "project management", "risk management" and "management of change" | X | ||||
| 12 | Knowledge on entrepreneurship, innovation and sustainability | |||||
| 13 | Understanding of the effects of Industrial Engineering applications on global and social health, environment and safety. | |||||
| 14 | Knowledge of the problems of contemporary society | X | ||||
| 15 | Knowledge of the legal implications of the practice of industrial engineering | |||||
ECTS
| Activities | Number | Period | Total Workload |
|---|---|---|---|
| Class Hours | 3 | 14 | 42 |
| Working Hours out of Class | 2 | 12 | 24 |
| Assignments | 1 | 10 | 10 |
| Midterm Examinations (including preparation) | 1 | 10 | 10 |
| Project | 1 | 30 | 30 |
| Final Examinations (including preparation) | 1 | 17 | 17 |
| Total Workload | 133 | ||
| Total Workload / 25 | 5.32 | ||
| Credits ECTS | 5 | ||