41191 Business Intelligence
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Subject handbook information prior to 2021 is available in the Archives.
Credit points: 6 cp
Subject level:
Undergraduate
Result type: Grade and marksRequisite(s): 31266 Introduction to Information Systems
Description
This subject covers a range of issues in organisational applications of business intelligence with regard to knowledge management, enterprise/business process management and organisational decision making. It addresses the processes of generation, dissemination, retention, application and distribution of corporate information and knowledge. The subject also includes key aspects of information systems development approaches and ways of designing systems that provide business intelligence to enterprises. The techniques are explored practically in project-based assignments.
Subject learning objectives (SLOs)
Upon successful completion of this subject students should be able to:
| 1. | Analyse Indigenous knowledge systems and practices as examples of cultural information systems. |
|---|---|
| 2. | Assess ethical considerations in decision-making processes and practices for a business intelligence system in a real organisation. |
| 3. | Design business intelligence applications to add value and competitive advantage in an organisation. |
| 4. | Apply business intelligence and analytics tools to solve real-world problems and interpret results. |
Course intended learning outcomes (CILOs)
This subject also contributes specifically to the development of the following Course Intended Learning Outcomes (CILOs):
- Historically and Culturally Informed about Indigenous Knowledge Systems: FEIT graduates are culturally and historically well informed, able to co-design projects as respectful professionals when working in and with Aboriginal and Torres Strait Islander communities. (A.1)
- Socially Responsible: FEIT graduates identify, engage, interpret and analyse stakeholder needs and cultural perspectives, establish priorities and goals, and identify constraints, uncertainties and risks (social, ethical, cultural, legislative, environmental, economics etc.) to define the system requirements. (B.1)
- Design Oriented: FEIT graduates apply problem solving, design and decision-making methodologies to develop components, systems and processes to meet specified requirements. (C.1)
- Technically Proficient: FEIT graduates apply abstraction, mathematics and discipline fundamentals, software, tools and techniques to evaluate, implement and operate systems. (D.1)
Teaching and learning strategies
Student learning is facilitated through a 3 hour class each week, over 12 weeks.
Study material, readings, and online activities will provide students with the information required to gain an in-depth knowledge of decision-making processes and practices for a decision support system and current issues within the field of business intelligence technologies and systems.
Tutorials will include activities that relate to the materials covered in the lectures and also introduce students to additional BI technologies in professional contexts. Students need to engage with the study materials before the class.
Formative revision quizzes are available on a weekly basis to provide an opportunity for students to self-evaluate their understanding of the subject material. Timely completion of the weekly quizzes will assist the revision process by highlighting areas of weakness early, allowing students to schedule an additional revision of relevant topics.
Content (topics)
- Indigenous knowledge related to information systems and information transfer i.e., how knowledge was preserved and passed between generations
- Changing business environments and evolving needs for decision support to analytics/data science
- A framework for business intelligence (BI)
- Systems development approaches and ways of designing systems that provide business intelligence to organisations
- Business intelligence applications for analysis, knowledge management, enterprise/business process management, presenting results and organisational decision making
- Future trends in business intelligence and analytics
Assessment
Assessment task 1: Blog post
| Intent: | Critically discuss and reflect on Australian Indigenous knowledge systems and practices as examples of cultural information systems. |
|---|---|
| Objective(s): | This assessment task addresses the following subject learning objectives (SLOs): 1 and 2 This assessment task contributes to the development of the following Course Intended Learning Outcomes (CILOs): A.1 and B.1 |
| Type: | Reflection |
| Groupwork: | Individual |
| Weight: | 20% |
| Length: | Blog post: approximately 500 words each Feedback and comments on two other blogs: approximately 100 words each |
Assessment task 2: Case Study-BI in Organisations
| Intent: | Identify business functions where business intelligence can improve organisational performance. |
|---|---|
| Objective(s): | This assessment task addresses the following subject learning objectives (SLOs): 2, 3 and 4 This assessment task contributes to the development of the following Course Intended Learning Outcomes (CILOs): B.1, C.1 and D.1 |
| Type: | Case study |
| Groupwork: | Individual |
| Weight: | 35% |
| Length: | 1500 words |
Assessment task 3: BI Life Cycle
| Intent: | Develop a business intelligence solution that adds value and competitive advantage. |
|---|---|
| Objective(s): | This assessment task addresses the following subject learning objectives (SLOs): 2, 3 and 4 This assessment task contributes to the development of the following Course Intended Learning Outcomes (CILOs): B.1, C.1 and D.1 |
| Type: | Project |
| Groupwork: | Group, group and individually assessed |
| Weight: | 45% |
| Length: | Report-3000 words Presentation-Approximately 15 mins per group (including the Q&A) where each group member must present for at least 2 mins |
Minimum requirements
In order to pass the subject, a student must achieve an overall mark of 50% or more.
Recommended texts
Sharda, R., Delen, D., and Turban, E. Business Intelligence, Analytics and Data Science: A Managerial Perspective, Fourth Edition, Global Edition, Pearson Education Limited, 2018. ISBN: 978-0-13-463328-2.
Sabherwal, R., and Becerra-Fernandez, I. Business Intelligence: Practices, Technologies and Management. Wiley. 2013. ISBN: 978-0-470-46170-9.
Howson, C. Successful Business Intelligence. McGraw-Hill. 2013. ISBN: 978-0-071-80919-1.
Other resources
Online support for this subject will be via UTS Canvas at http://canvas.uts.edu.au