INFS3050 -
Business Intelligence for Managers

General Details

Unit Coordinator: Petri Hallikaine

The unit initially provides students with the foundations required to understand and utilise BI before discussing the evolution of BI’s capabilities to gain a competitive advantage. By providing a foundation to understand BI, INFS3050 then allows students to act on their newfound knowledge through the use of Tableau

- a commercial BI platform. This allows students the opportunity to gain a deeper understanding of the versatility that BI has in a business context and ultimately improve their analytical skills.

Assumed Knowledge: INFS1000 or INFO1000 or INFO1003 or INFO1903

Prerequisites: None

Difficulty: 

Despite being a third-year course, this unit is not difficult if students are able to devote enough time to revise content regularly. Of the 13 weeks, there are only about 7-8 weeks of content. The required readings for each tutorial are also not of a difficult nature and help reinforce the content being taught. Failure to complete required weekly readings will lead to students facing difficulty in understanding content taught each week.

Things to Consider Before Enrolling:

1. The unit is highly practical with a large focus on Tableau after the

mid-semester exam.

2. Like other INFS units, this unit has group work and a group of motivated and highly organised students will help with the in-class and group assignments.

3. Students do not need a technical background to undertake this unit.

Textbook: 

Sharda, R., Delen, D. and Turban, D. (2014), Business Intelligence – A Mana- gerial Perspective on Analytics, 3rd (Global) Edition, Pearson International Edition.

(Whilst there is a textbook for this unit, students do not need it to perform well in the unit. Rather, students should focus on the weekly assigned readings which are examined and used for in-class activities.)

Subject Difficulty

Assesment Breakdown

In-class Assignments (10%)
The in-class assignments are relatively simple and consist of two Tableau exercises plus a one-page reflection.

Mid-Term Exam (30%)

The mid-semester exam consists of a series of short-answer questions. Students who complete assigned readings and revise content should perform well.

Group Project (30%)

The group assignment focuses on the capabilities of Tableau and will require students to work in a group to solve the client’s issue by analysing their dataset on Tableau.

Final Exam (30%)
The final exam will feature a case study and a series of short-answer questions. Students are provided the case study a few days before the exam.