| Kursusnavn (dansk): | T13 Business Intelligence |
| Kursusnavn (engelsk): | T13 Business Intelligence |
| Semester: | Forår 2008 |
| Udbydes under: | cand.it., e-business (ebuss) |
| Omfang i ECTS: | 7,50 |
| Kursussprog: | Engelsk |
| Kursushjemmeside: | http://slesblade2.e-cbs.dk/forums/KEH/ |
| Min. antal deltagere: | 20 |
| Forventet antal deltagere: | 40 |
| Maks. antal deltagere: | 45 |
| Formelle forudsætninger: | Basic understanding of database systems and SQL preferred, in case
of doubt please contact the teacher. |
| Læringsmål: | After taking the course, students will be able to:
1. identify relevant data for an organization, which need to be
stored, create database structure and fill in data,
2. retrieve (query) data stored in a database or across databases and
analyze them using BI tools and methods discussed at the course,
3. identify master data in a context of a specific organization and
create a data mart,
4. initiate and manage a BI project in an organization.
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| Fagligt indhold: | The course is a general introduction to Business Intelligence as topic and as tool, and covers important contributor's views on and methods for building a data warehouse. These are combined with practical examples and methods from the real world.
The following topics will be covered:
Introduction to Business Intelligence and Data Warehouse
Information modeling and databases
SQL
Architecture
Data Warehousing
Data Mart Design - Dimensional modeling
ETL Design and Techniques
Integration
Analysis and Reporting
Introduction to Master Data Management
|
| Læringsaktiviteter: | 12 forelæsningsgange 12 lectures and exercises with hands-on |
| Eksamensform og -beskrivelse: | X. experimental examination form (7-scale; external exam), 7-trins-skala, Intern censur Intern censur, 7-trins-skala, C1: Skriftlige arbejder uden mundtlig eksamen
Afleveringsfrister se http://www1.itu.dk/sw707.asp
Deadlines see http://www1.itu.dk/sw923.asp
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| Litteratur udover forskningsartikler: | Kimball, R., Reeves, L., Ross, M., and Thornthwaite (2008) The Data Warehouse Lifecycle Toolkit, 2nd edition. New York, Wiley, ISBN 0-471-14977-9. |
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Kursusoversigt