Unit outline
| Important Update: | Our aim is to provide you with an optimal learning experience, regardless of how this unit is delivered. Teaching will be delivered in line with the most current COVID Safe health guidelines. This may include a mix of online and face-to-face. Please check the learning management system for announcements and updates. Thank you for your flexibility and commitment to studying with Sydney Institute of Higher Education. |
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| Enrolment modes: | Year 3, Semester 1 |
| Credit point(s): | 12.5 |
| EFTSL value: | 0.125 |
| Prerequisite: | BUS103 Business Statistics |
| Typical study commitment: | Students will on average spend 10 hours per week over the teaching period undertaking the teaching, learning and assessment activities for this unit. |
| Scheduled learning activities: | 4 timetabled hours per week, 6 personal study hours per week |
Unit Description
This subject is designed to develop students’ knowledge of basic intelligence gathering and analysis, and their ability to consider key business decisions. Students will focus on providing timely and accurate information for decisions that increase profitability, improve market share and enhance customer service. Some business intelligence tools will also be introduced to the students.
Unit Learning Outcomes (ULO)
| On the successful completion of this units student will be able to: | |
| ULO1 | Understand the concepts and principles of Business Intelligence. |
| ULO2 | Analyse which business intelligence technologies are suitable for current problems. |
| ULO3 | Implement a business intelligence solution for a business problem. |
| ULO4 | Develop a business intelligence roadmap for a given scenario. |
Topics to be included
| 1. | Demand for Business Intelligence |
| 2. | Artificial intelligence |
| 3. | Business, data and quality |
| 4. | Architectural framework |
| 5. | Business Intelligence dimensional modelling |
| 6. | Data integration design and development |
| 7. | Expert systems |
| 8. | Business Intelligence applications |
| 9. | Business Intelligence design and development |
| 10. | Advanced analytics: big data |
| 11. | Data shadow systems |
| 12. | People, process and politics |
Assessment
| Assessment Description | Grading and weighting (% total mark for unit) |
Indicative due week |
| Assessment 1: Individual Assignment | 20% | 11 |
| Assessment 2: Group Assignment | 20% | 12 |
| Assessment 3: Final Exam | 60% | Final exam week |
The assessment due weeks provided may change. Your lecturer will clarify the exact assessment requirements, including the due date, at the start of the teaching period.