Business Analytics IV (German)

Lehrinhalte

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

Art der Vermittlung

face to face

Art der Veranstaltung

compulsory

Empfohlene Fachliteratur

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

Lern- und Lehrmethode

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

Prüfungsmethode

Continuous assessment, quizzes, presentations

Voraussetzungen laut Lehrplan

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

Schnellinfos

Studiengang

Europäische Wirtschaft und Unternehmensführung (Bachelor)

Akademischer Grad

Bachelor

ECTS Credits

2.00

Unterrichtssprache

Englisch

Studienplan

Vollzeit

Studienjahr, in dem die Lerneinheit angeboten wird

WS2026

Semester in dem die Lehrveranstaltung angeboten wird

5 WS

Incoming

Nein

Lernergebnisse der Lehrveranstaltung

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

Kennzahl der Lehrveranstaltung

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