Credits: 6

Schedule: 25.02.2019 - 10.04.2019

Teacher in charge (valid 01.08.2018-31.07.2020): 

Yong Liu

Teaching Period (valid 01.08.2018-31.07.2020): 

IV Spring (2018-2019) Otaniemi campus

IV Spring (2019-2020) Otaniemi campus

Learning Outcomes (valid 01.08.2018-31.07.2020): 

The objective of the course is to give the students an understanding of the data informed decision-making. The focus is on business-oriented analytical skills, which enable the students to work with the data, to understand them and turn them into intelligence and actions.

Content (valid 01.08.2018-31.07.2020): 

This course aims at providing an understanding of issues related to data informed decision-making and problem solving. To do this, it offers a balanced insight into the building blocks of business intelligence (BI), such as data management, data warehousing, reporting, and analytics. Besides a set of guest speakers representing academia and business life, a central feature of the course is a BI challenge, which students work in small groups. The course requires both independent learning skills and organizational skills.

Assessment Methods and Criteria (valid 01.08.2018-31.07.2020): 

50% assignments
50 % learning diary / Final exam

Workload (valid 01.08.2018-31.07.2020): 

•    Contact teaching 24h
•    Independent work 136h
Total 160h (6 ECTS)

Study Material (valid 01.08.2018-31.07.2020): 

Course book: Sharda, Ramesh – Delen, Dursun – Turban, Efraim (2014) Business Intelligence and Analytics (10th edition). Pearson, New York (NY).

Substitutes for Courses (valid 01.08.2018-31.07.2020): 

37E00550 Business Intelligence

EMS MIM students can replace this capstone with 42E05400 CEMS Business Project

Prerequisites (valid 01.08.2018-31.07.2020): 

Before registration, one is expected to know SQL and database management basics.

Grading Scale (valid 01.08.2018-31.07.2020): 


Registration for Courses (valid 01.08.2018-31.07.2020): 

Via WebOodi


Registration and further information