335107a Analytische Informationssysteme Vorlesung

Zuletzt geändert:	02.09.2019 / Messerschmidt
EDV-Nr:	335107a
Studiengänge:
Dozent:
Sprache:	Englisch
Art:	V
Umfang:	2 SWS
ECTS-Punkte:	2
Workload:	Lecture: 15 weeks, 1,5 hours = 22 hours Preparation: 15 weeks, 3 hours = 45 hours
Prüfungsform:
Beschreibung:	Participants will learn the key aspects and principles of business intelligence, data warehousing and data mining know. Specifically, the following points are covered: application fields of Business Intelligence and Data Warehousing BI architectures data sources staging metadata data marts BI front ends ETL processes (Extract, Transform, Load) Development of multi-dimensional data models (Star Schema, Snowflake Schema) Online Analytical Processing (OLAP) and typical operations (roll up, drill down, etc.)concepts methods and applications of data mining (clustering, Naive Bayes, decision trees, classification)
English Title:	Analytical Information Systems
English Abstract:	The lecuture will introduce the concept of Business Intelligence to the audience. For informed decision-making in companies an integrated view of all decision-relevant information is essential. Business Intelligence (BI) refers to strategies, methods and technologies to gain from heterogeneous distributed data and mission-critical knowledge about the status, potentials and prospects of a company. 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. Building on offer BI systems such as Management dashboards or OLAP-based BI services capabilities to analyze operational metrics and processes. Data mining methods also provide insights into previously unknown relationships in business data.
Literatur:	Textbook available Weitere Literatur finden Sie in der HdM-Bibliothek.
Internet:	Material available on Moodle