Business Intelligence

The aim of the course is that students shall develop knowledge and understanding of the terms and methods used in Business Intelligence (BI).
Upon completion of the course, students shall be able to:

• implement the most central components of a BI system
• use business analysis and benchmarking tools
• integrate BI into an organisation’s daily business decisions
• use algorithms to optimise processes
• apply a BI meta model that converts goals into actions
• show understanding and implement decision support systems for BI

The course is an introduction to Business Intelligence, analytics and decision support. It shows how problems in business can be solved by collecting business data and converted in data warehouse.  Data warehousing, together with data integration, extraction and transformation (ETL), will be presented. Data mining tools such as classification, clustering and association rule will be covered in the course. Predictive models such as neural networks will be studied.  The course will also cover text analytics such as text mining, sentiment analysis and web mining.

Laboratory work 3 credits and project assesment 4.5 credits.

Lectures, laboratory work and project.

The Swedish grades U–VG.

Oral and written presentation of laboratory work (3 credits), U G
Oral and written presentation of an individual project (4.5 credits), U VG 

To receive the grade of VG, students must achieve VG in the project .