Business Intelligence and Big Data (ILV)Back
Mag.Selvana Disho , Bakk.
DI (FH) Dr.Peter Claus Kriebernegg
|Semester of degree program||Semester 3|
|Mode of delivery||Presence- and Telecourse|
|Language of instruction||English|
The students learn the basics of business intelligence projects and the “wording”. They also become confident using specifications and blueprints and their transition into a project and its phases. An ETL process and an architecture based on a BI system are also part of this course. Current topics as big data and map reduce are also covered as the setting up of OLAP structures and the reporting part which is complemented by the visualization concept of IBCS. The parctical part is covered by a Business intelligence tool.
• Business Intelligence collects, structures and analysis data/information in order to provide a clear basis for decision-making • Based on the internet and social media as well as modern technical resources more and more data can be collected which lead to big data, surrounded by data management and its components • Business Intelligence Architectures and the data flow • Setting up OLAP structures (dimensions and cubes), Reporting according IBCS • BI Organisation, BI Projects • Practical part using a real Business Intelligence tool
• Kemper/Baars Mehanna (2010): Business Intelligence – Grundlagen und praktische Anwendungen. • Abts/Mülder (Hrsg) (2010): Masterkurs Wirtschaftsinformatik. • Few (2013): Information Dashboard Design. • Kohlhammer/Proff/Wiener (2013): Visual Business Analytics. • Hildebrand, Gebauer, Hinrichs, Mielke (Hrsg.) (2015): Daten und Informationsqualität – Auf dem Weg zur Information Excellence. • Gabriel/Gluchowski/Pastwa (2011): Data Warehouse & Data Mining. • Schön (2015): Planung und Reporting. • Gießen/Nakanishi (2020): Power BI Desktop – Ein kompakter Einstieg für Excel User.
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Written exam (70%), Grading also includes participation in group work, blended learning exercises and the practical part of the BI Tool (30%)