Use the Tab and Up, Down arrow keys to select menu items.
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.
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; and5. Work as a team to perform key activities related to the analysis of a business problems and recommendation of a BI-enabled solution.
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 orabove RP: STAT101
Students must attend one activity from each section.
Sharda, Ramesh. , Delen, Dursun., Turban, Efraim;
Business intelligence, analytics, and data science : a managerial perspective;
4th ed., global ed;
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.
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.