Business Analytics IV (German)

Brief description

  • Data base and interface management
  • Business analytics
  • Evaluation of existing data models
  • Development of new data models
  • Visualisation of data analysis

Mode of delivery

face to face

Type

compulsory

Recommended or required reading and other learning resources/tools

Schels: Business Intelligence mit Excel
Baars/Kemper: Business Intelligence & Analytics – Grundlagen and praktische Anwendungen

Planned learning activities and teaching methods

Lecture, illustration of software functions, application of these functions and immediate feedback on the preparation of cases dealing with large data sets

Assessment methods and criteria

Continuous assessment, quizzes, presentations

Prerequisites and co-requisites

Financial Accounting and Financial Statement Analysis, Financial Management and Investment Decisions, Cost Accounting and Budgeting, Company valuation, Cost management, Business Analytics I - III

Infos

Degree programme

European Economy & Business Management (Bachelor)

Cycle

Bachelor

ECTS Credits

2.00

Language of instruction

German

Curriculum

Full-Time

Academic year

2023

Semester

5 WS

Incoming

No

Learning outcome

After successful completion of this course, students can

  • derive data requirements from managerial problems
  • efficiently manage data interfaces for data generation
  • gather large amounts of data and prepare them for an in-depth analysis
  • critically evaluate existing data models
  • generate efficient new data models.
The learning outcomes of this course contribute mainly to the following (international) programme learning outcomes:
LO 3.2
LO 4.1
LO 5.1

Course code

0389-20-01-VZ-DE-57a