INFO361-20S2 (C) Semester Two 2020

Business Intelligence and Analytics

15 points

Start Date: Monday, 13 July 2020
End Date: Sunday, 8 November 2020
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Friday, 24 July 2020
  • Without academic penalty (including no fee refund): Friday, 25 September 2020


This course covers key principles and practices related to the use of business intelligence (BI) systems to support strategy and decision-making. Topics include performance dashboards and data visualisation; descriptive, predictive and predictive analytics; data, text and web mining; future trends and directions. Real data-sets and industry-standard tools will be used to demonstrate key principles of BI and to help students develop analytical and problem-solving skills related to BI solutions.

Learning Outcomes

At the end of this course, it is expected that students will have gained an understanding of key BI concepts and of the role and use of BI systems in organisations. More specifically, it is expected that students will be able to:
1. Demonstrate an understanding of key BI concepts, processes and technologies
2. Identify the need for and explain the use of Business Intelligence systems to support data management and decision-making in organisations.
3. To recognise and analyse business problems and opportunities related to the role of BI in organisations; select and apply suitable strategies, tools and/or techniques (e.g. in data mining/ analytics) supported by BI systems to these problems/opportunities and; make recommendations that align with the organisations’ context and business strategy.
4. Produce appropriate information models and reports using BI software/visualisation tools; and
5. Work as a team to perform key activities related to the analysis of a business problems and recommendation of a BI-enabled solution.

University Graduate Attributes

This course will provide students with an opportunity to develop the Graduate Attributes specified below:

Critically competent in a core academic discipline of their award

Students know and can critically evaluate and, where applicable, apply this knowledge to topics/issues within their majoring subject.


(1) INFO123; and (2) 45 points at 200-level or
above RP: STAT101

Recommended Preparation

Timetable 2020

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Thursday 11:00 - 13:00 Rehua 620 13 Jul - 23 Aug
7 Sep - 18 Oct
02 Thursday 11:00 - 13:00 Online Stream - students based in NZ 13 Jul - 23 Aug
7 Sep - 18 Oct
03 Thursday 11:00 - 13:00 Online Stream - students based overseas 13 Jul - 23 Aug
7 Sep - 18 Oct
Computer Lab A
Activity Day Time Location Weeks
01 Thursday 13:00 - 14:00 Ernest Rutherford 212 Computer Lab 13 Jul - 23 Aug
7 Sep - 18 Oct

Course Coordinator

Ravishankar Sharma


Assessment Due Date Percentage 
Show & Tell Presentation 10%
Lab Assignments (3) 15%
Mid-Term Test 20%
Group Project 25%
Final Exam 30%

Textbooks / Resources

Required Texts

Sharda, Ramesh. , Delen, Dursun., Turban, Efraim; Business intelligence, analytics, and data science : a managerial perspective; 4th ed., global ed; Pearson, 2018.

Indicative Fees

Domestic fee $867.00

International fee $4,250.00

* Fees include New Zealand GST and do not include any programme level discount or additional course related expenses.

Minimum enrolments

This course will not be offered if fewer than 10 people apply to enrol.

For further information see Department of Accounting and Information Systems on the department and colleges page.

All INFO361 Occurrences

  • INFO361-20S2 (C) Semester Two 2020