41191 Business Intelligence
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Credit points: 6 cp
Subject level:
Undergraduate
Result type: Grade and marksRequisite(s): 31266 Introduction to Information Systems AND 41193 IS Data Visualisation Studio
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. (A.1) |
|---|---|
| 2. | Assess ethical considerations in decision-making processes and practices for a business intelligence system in a real organisation. (B.1) |
| 3. | Design business intelligence applications to add value and competitive advantage in an organisation. (C.1) |
| 4. | Apply business intelligence and analytics tools to solve real-world problems and interpret results. (D.1) |
| 5. | Actively engage in and lead collaborative efforts within the business intelligence domain (E.1) |
Course intended learning outcomes (CILOs)
This subject also contributes specifically to the development of the following Course Intended Learning Outcomes (CILOs):
- Indigenous Professional Capability: 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)
- Collaborative and Communicative: FEIT graduates work as an effective member or leader of diverse teams, communicating effectively and operating within cross-disciplinary and cross-cultural contexts in the workplace. (E.1)
Teaching and learning strategies
Students learning is facilitated by weekly lectures and tutorials over 12 weeks. There will be one hour of online lectures and two hours of on-campus tutorials every week. Pre-readings and activities released before classes are focus materials that will underpin actions in each class. Lectures are pre-recorded and provided on Canvas so that the ‘lecture’ can focus on clarifications and Q&As. Assessment tasks are designed to provide ongoing feedback to students to practice some of the concepts covered in the context of real-life situations. The tutorial collaborative activities and weekly case study discussion forums foster student learning to apply theory in practice.
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 for improvement, 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: Critical Discussion and Inquiry Exercise: Exploring Given Topics
| Intent: | To demonstrate the ability to engage in critical discussion, effectively communicate understanding, and express inquiry on given topics. |
|---|---|
| Objective(s): | This assessment task addresses the following subject learning objectives (SLOs): 1, 2, 3, 4 and 5 This assessment task contributes to the development of the following Course Intended Learning Outcomes (CILOs): A.1, B.1, C.1, D.1 and E.1 |
| Type: | Exercises |
| Groupwork: | Individual |
| Weight: | 20% |
| Length: | 2000 words combined for all relevant exercises |
Assessment task 2: Data Storytelling Blog post
| Intent: | To 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): 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: | Essay |
| Groupwork: | Individual |
| Weight: | 10% |
| Length: | 1000 words |
Assessment task 3: Data Warehouse Design
| Intent: | To enhance database design skills, specifying Extract, Transform, Load (ETL) processes and emphasize the pivotal importance of data quality and consistency throughout the design of a data warehouse. |
|---|---|
| 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: | 15% |
| Length: | 500 words |
Assessment task 4: Dashboard Design
| Intent: | To enhance business intelligence skills through designing a clear and insightful BI dashboard, emphasizing key performance indicators (KPIs) and ethical considerations in data processes and decision-making. |
|---|---|
| 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: | 15% |
| Length: | 500 words |
Assessment task 5: BI Analysis and Implementation
| Intent: | Develop a business intelligence solution that adds value and competitive advantage. |
|---|---|
| Objective(s): | This assessment task addresses the following subject learning objectives (SLOs): 1, 2, 3, 4 and 5 This assessment task contributes to the development of the following Course Intended Learning Outcomes (CILOs): A.1, B.1, C.1, D.1 and E.1 |
| Type: | Project |
| Groupwork: | Group, group and individually assessed |
| Weight: | 40% |
| Length: | Report-2000 words |
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
You should also check your UTS email regularly for class announcements.