104-018-IO1 Business Intelligence

Study program:

Controlling (M.A.)

Academic level and semester:

Master, 1st semester

ECTS credits/workload per semester:

1 / 25

Contact hours per week/contact hours per semester:

1 / 15

Type/Teaching method:

Lecture

Language of instruction: English

Frequency:

Winter semester

Lecturer:

Patrick Kersting

Content:

This class deals with the following topics:
Basics of Knowledge Management, History of Data Analysis and Business Intelligence (BI), Concept of Data Analysis and Business Intelligence (BI) - Type of Tools, Technical Basics and Implementation Strategy for BI Tool in Companies, Case Studies and Examples, Overview of Business Intelligence (BI) Tools on the Market. This class will introduce the basic concept of Business Intelligence. The main goal of this class is to provide an understanding of the different data types from systems and their interrelationships. Real-life examples complete the class. An integrated view of all decision-relevant information for the future is becoming increasingly important for decision-making in companies. Business Intelligence (BI) refers to strategies, methods and technologies for extracting information about the status, potential and prospects of a company from heterogeneous, distributed data and critical company knowledge. The associated functions are performed by different tools, seamless interaction is the key feature of a BI landscape. Data warehouse systems and their processes are central concepts for the integration of data and ensuring high data quality. Data mining methods also provide insights into previously unknown relationships in business data.

Textbooks:

Bea/Haas: Strategisches Management, Tübingen 2012Kemper/Baars/Mehanna: Business Intelligence – Grundlagen und praktischeAnwendungen, 3. Aufl., Wiesbaden 2010Stary/Maroscher: Wissensmanagement in der Praxis, Wien 2012IT-Unterstützung:Laudon/Lauon: Wirtschaftsinformatik, New Laudon/Lauon: Wirtschaftsinformatik, New York 2009

Recommended for:

Undergraduates, graduates

Prerequisites:

Background in Business/Economics, Finance/Accounting/Management (at least intermediate level)

Restrictions:

number of undergraduates is limited to 10

Assessment:

Written electronic exam