Digital Technologies, Business Analytics and Management

In this course, students learn how to plan, implement, and evaluate digital solutions in company settings. A focus will be on new digital technologies, best-practices for managing IT developments and business analytics. Exercise sessions will introduce students to programming data-centric solutions.

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  • EN - Please note: This page has no German version because the course is only offered in English.

Quick Info: Master | Lecture (Fachspezifische Grundlagen, FSG) | English | Winter Semester | 9 ECTS

Summary

CourseDigital Technologies, Business Analytics and Management
ChairInstitute of AI in Management
Lecturer Prof. Dr. Stefan Feuerriegel
AssistantsAnnually changing
Weekly HoursWeekly lectures, on Tuesdays & Fridays
Target GroupM.Sc. BWL
ExaminationExam on site, in person.
PrerequisitesNo specific requirements
Course MaterialCourse material will be shared via Moodle, students are required to self-enrol to the course through Moodle, self-enrolment key can be accessed via LSF.
RotationAnnual rotation, winter semester
LanguageEnglish
ECTS9

Description

In this course, students learn how to plan, implement, and evaluate digital solutions in company settings. A focus will be on new digital technologies, best-practices for manag-ing IT developments and business analytics. Exercise sessions will introduce students to programming data-centric solutions.

In recent years, there has been a dramatic increase in the use of digital technologies in management. The course focuses on the use of digital technologies in management. It covers topics such as business analytics, social media, blockchain etc.

The goal of the course is to help students understand how to use digital technologies to improve managerial effectiveness. They will learn:

  • how to harness the power of business analytics to make better decisions,
  • how to create effective social media campaigns that reach target audiences, etc.

Overall, the course provides students with a comprehensive overview of how digital tech-nologies are used in modern business settings. It equips them with the skills they need to take advantage of these technologies and become more successful managers. While there are risks associated with using digital technologies, there are also many benefits. Digital technologies make it easier for people to connect with each other and share information than ever before. They also enable businesses to operate more efficiently and reach new markets around the world.

There will be exercise sessions where programming is introduced. This also forms part of the exam. And there will be real-world case studies from practice.

Outline

Final dates and times will be shared via Moodle.

1. Start

Basic understanding of digital innovations

2. Digital product innovations

Descriptive approaches, network effects, privacy as a current challenge

3. Digital business model innovations

Descriptive approaches, data-based business model innovations as current challenges

4. Implementation of digital organisations

Approaches, governance structures, ma-turity models

5. Deep-dive IT-management

incl. SCRUM and agile management practice

6. Business analytics

  • Use case definition, value creation
  • Machine learning (ML)
  • Big data
  • Data management
  • Managerial implications

Implementing real-world applications

(with R) and programming sessions

Literature

  • James, Witten, Hastie & Tibshirani (2013): An Introduction to Statistical Learning: With Applications in R. Springer
  • Sharda, Delen & Turban (2014): Business Intelligence: A Managerial Perspective on Ana-lytics. Pearson