Overview
The application of business intelligence and analytics have transformed the way in which organisations operate. Through the use of business intelligence and analytics tools, organisations are able to better understand how their businesses are performing, make well-informed decisions that improve business performance and create new strategic opportunities for growth. This unit equips you with the knowledge of various business intelligence concepts, tools and analytical techniques that organisations use for improving their decision making and to achieve competitive advantage. You will learn about the role of various information systems (Management Support Systems, Decision Support Systems, Knowledge Based Systems, Group Support Systems) and how they are integrated at the enterprise level to support decision making. In this unit, you will specifically learn about data mining, data virtualisation, text and web analytics and use a data mining tool to classify and analyse data.
Details
Pre-requisites or Co-requisites
Pre-requisite: COIT11226
Important note: Students enrolled in a subsequent unit who failed their pre-requisite unit, should drop the subsequent unit before the census date or within 10 working days of Fail grade notification. Students who do not drop the unit in this timeframe cannot later drop the unit without academic and financial liability. See details in the Assessment Policy and Procedure (Higher Education Coursework).
Offerings For Term 1 - 2019
Attendance Requirements
All on-campus students are expected to attend scheduled classes – in some units, these classes are identified as a mandatory (pass/fail) component and attendance is compulsory. International students, on a student visa, must maintain a full time study load and meet both attendance and academic progress requirements in each study period (satisfactory attendance for International students is defined as maintaining at least an 80% attendance record).
Recommended Student Time Commitment
Each 6-credit Undergraduate unit at CQUniversity requires an overall time commitment of an average of 12.5 hours of study per week, making a total of 150 hours for the unit.
Class Timetable
Assessment Overview
Assessment Grading
This is a graded unit: your overall grade will be calculated from the marks or grades for each assessment task, based on the relative weightings shown in the table above. You must obtain an overall mark for the unit of at least 50%, or an overall grade of ‘pass’ in order to pass the unit. If any ‘pass/fail’ tasks are shown in the table above they must also be completed successfully (‘pass’ grade). You must also meet any minimum mark requirements specified for a particular assessment task, as detailed in the ‘assessment task’ section (note that in some instances, the minimum mark for a task may be greater than 50%). Consult the University’s Grades and Results Policy for more details of interim results and final grades.
All University policies are available on the CQUniversity Policy site.
You may wish to view these policies:
- Grades and Results Policy
- Assessment Policy and Procedure (Higher Education Coursework)
- Review of Grade Procedure
- Student Academic Integrity Policy and Procedure
- Monitoring Academic Progress (MAP) Policy and Procedure – Domestic Students
- Monitoring Academic Progress (MAP) Policy and Procedure – International Students
- Student Refund and Credit Balance Policy and Procedure
- Student Feedback – Compliments and Complaints Policy and Procedure
- Information and Communications Technology Acceptable Use Policy and Procedure
This list is not an exhaustive list of all University policies. The full list of University policies are available on the CQUniversity Policy site.
Feedback, Recommendations and Responses
Every unit is reviewed for enhancement each year. At the most recent review, the following staff and student feedback items were identified and recommendations were made.
Feedback from Students
Tutorial videos on how to install and use the software Weka should be provided.
Add tutorial videos to guide students on how to install the software Weka and provide some examples of how to use Weka.
- Apply the principles of decision theory to interpret the needs of decision makers
- Analyse the needs of computerised support for managerial decision making and business performance reporting
- Evaluate the roles, trends and impacts of various business intelligence and analytics tools in organisations
- Analyse the technological architecture required for building business intelligence systems in organisations
- Evaluate the importance of data analysis, data processing and visualisation
- Apply business intelligence and analytics software tools to solve real world problems and interpret results.
Australian Computer Society (ACS) recognises the Skills Framework for the Information Age (SFIA). SFIA is in use in over 100 countries and provides a widely used and consistent definition of ICT skills. SFIA is increasingly being used when developing job descriptions and role profiles.
ACS members can use the tool MySFIA to build a skills profile at https://www.acs.org.au/professionalrecognition/mysfia-b2c.html
This unit contributes to the following workplace skills as defined by SFIA. The SFIA code is included:
- Analytics (INAN)
- Business Analysis (BUAN)
- Data Analysis (DTAN)
Alignment of Assessment Tasks to Learning Outcomes
Assessment Tasks | Learning Outcomes | |||||
---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | 6 | |
1 - Online Quiz(zes) - 15% | ||||||
2 - Written Assessment - 40% | ||||||
3 - Presentation and Written Assessment - 45% |
Alignment of Graduate Attributes to Learning Outcomes
Graduate Attributes | Learning Outcomes | |||||
---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | 6 | |
1 - Communication | ||||||
2 - Problem Solving | ||||||
3 - Critical Thinking | ||||||
4 - Information Literacy | ||||||
5 - Team Work | ||||||
6 - Information Technology Competence | ||||||
7 - Cross Cultural Competence | ||||||
8 - Ethical practice | ||||||
9 - Social Innovation | ||||||
10 - Aboriginal and Torres Strait Islander Cultures |
Alignment of Assessment Tasks to Graduate Attributes
Assessment Tasks | Graduate Attributes | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | |
1 - Online Quiz(zes) - 15% | ||||||||||
2 - Written Assessment - 40% | ||||||||||
3 - Presentation and Written Assessment - 45% |
Textbooks
Business Intelligence and Analytics: Systems for Decision Support, Global Edition
Edition: 10th (2014)
Authors: Ramesh Sharda, Dursun Delen and Efraim Turban
Pearson
Upper Saddle River Upper Saddle River , New Jers , USA
ISBN: 9781292009209
Binding: Other
Additional Textbook Information
Paper copies can be purchased at the CQUni Bookshop here: http://bookshop.cqu.edu.au (search on the Unit code)
However, ebook copies can purchased from the supplier here: http://www.pearson.com.au/9781292009261
IT Resources
- CQUniversity Student Email
- Internet
- Unit Website (Moodle)
- WEKA (Version: 3.8.1 – 64 Bit)
- Trueblue Visual DSS (Release 6789 Student Edition – 32 Bit)
- Microsoft Power BI Desktop (Version: 2.53.4954.621 – 64 Bit)
- Microsoft Power BI publisher for Excel (Version: 2.37.3272.33601 – 32 Bit for Microsoft office -32 Bit; 64 Bit for Microsoft office -64 Bit)
All submissions for this unit must use the referencing style: Harvard (author-date)
For further information, see the Assessment Tasks.
y.lin@cqu.edu.au
Module/Topic
An Overview of Business Intelligence and Analytics
Chapter
Chapter 1
Events and Submissions/Topic
Module/Topic
Foundations and Technologies for Decision Making
Chapter
Chapter 2
Events and Submissions/Topic
Module/Topic
Data Warehousing
Chapter
Chapter 3
Events and Submissions/Topic
Module/Topic
Business Reporting, Visual Analytics, and Business Performance Management
Chapter
Chapter 4
Events and Submissions/Topic
Module/Topic
Data Mining for Business Intelligence
Chapter
Chapter 5
Events and Submissions/Topic
Module/Topic
Chapter
Events and Submissions/Topic
Module/Topic
Text Analytics, Text Mining, and Sentiment Analysis
Chapter
Chapter 7
Events and Submissions/Topic
Assignment 1 due Friday (20-Apr-2018) 11:45 pm AEST.
ASSIGNMENT 1 - DECISION MAKING AND VIRTUAL ANALYTICS Due: Week 6 Friday (26 Apr 2019) 11:45 pm AEST
Module/Topic
Web Analytics, Web Mining, and Social Analytics
Chapter
Chapter 8
Events and Submissions/Topic
Module/Topic
Modelling and Analysis: Heuristic Search Methods and Simulation
Chapter
Chapter 10
Events and Submissions/Topic
Module/Topic
Automated Decision Systems and Expert Systems
Chapter
Chapter 11
Events and Submissions/Topic
Module/Topic
Knowledge Management and Collaborative Systems
Chapter
Chapter 12
Events and Submissions/Topic
Module/Topic
Big Data and Analytics
Chapter
Chapter 13
Events and Submissions/Topic
Module/Topic
Business Analytics: Emerging Trends and Future Impacts
Chapter
Chapter 14
Events and Submissions/Topic
Assignment 2 due Friday (01-Jun-2018) 11:45 pm AEST.
ASSIGNMENT 2 - BUSINESS INTELLIGENCE AND ANALYTICS Due: Week 12 Friday (7 June 2019) 11:45 pm AEST
Module/Topic
Chapter
Events and Submissions/Topic
Module/Topic
Chapter
Events and Submissions/Topic
1 Written Assessment
There are three parts in Assignment 1:
- The first part is related to decision making on business investment. You are required to use a Visual DSS tool to generate models and derive solutions for making decisions on business investment.
- The second part is related to data and information virtualization. You are required to generate data virtualization by using Power BI to conduct business analytics.
- The third part is related to business intelligence projects' development and implementation. You are required to write a report from a given case study.
More details will be provided on the Moodle website.
Week 6 Friday (26 Apr 2019) 11:45 pm AEST
Week 8 Friday (10 May 2019)
Assessments will be returned through Moodle website. Late submissions with or without extension approvals will be returned after the above date.
Your assessment will be marked according to the following criteria.
|
- Apply the principles of decision theory to interpret the needs of decision makers
- Analyse the needs of computerised support for managerial decision making and business performance reporting
- Analyse the technological architecture required for building business intelligence systems in organisations
- Apply business intelligence and analytics software tools to solve real world problems and interpret results.
- Communication
- Problem Solving
- Critical Thinking
- Information Literacy
- Team Work
- Information Technology Competence
- Ethical practice
2 Presentation and Written Assessment
Assignment 2 contains a written assignment with four questions including an oral presentation.
The theoretical questions cover topics in business intelligence and analytics areas. You are required to use a data mining tool to classify and analyse data. Internal students need to deliver an oral presentation to the class. External/distance students will be allowed to provide a recorded video of the required oral presentation.
Week 12 Friday (7 June 2019) 11:45 pm AEST
Assessments will be returned on the Certificate date (required for the unit without an exam)
Your second assignment will be marked according to the following criteria.
Discussion on the importance of business intelligence | 10 marks |
Appropriate use of WEKA for data analysis | 15 marks |
A case study on Information Virtualizaiton and Analitics | 10 marks |
Oral presentation | 10 marks |
- Analyse the needs of computerised support for managerial decision making and business performance reporting
- Evaluate the roles, trends and impacts of various business intelligence and analytics tools in organisations
- Analyse the technological architecture required for building business intelligence systems in organisations
- Evaluate the importance of data analysis, data processing and visualisation
- Apply business intelligence and analytics software tools to solve real world problems and interpret results.
- Communication
- Problem Solving
- Critical Thinking
- Information Literacy
- Team Work
- Information Technology Competence
- Ethical practice
3 Online Quiz(zes)
The quiz consists of a series of 30 True/False and Multiple Choice questions. Questions will be randomly selected from a pool of questions on topics in weeks 1 to 12. You are unlikely to be asked the same questions as other students, nor the same questions in subsequent attempts at the quiz. The time limit for each attempt is 45 minutes. The quiz automatically closes. If you have not submitted an attempt at the quiz by the due date, you will get no mark. Quizzes cannot be attempted and submitted after the due date.
You are allowed to attempt the quiz as many times as you want before the due date; however, the result of your last submission will be your final mark of the quiz.
Review/Exam Week Monday (10 June 2019) 2:00 pm AEST
Review/Exam Week Monday (10 June 2019)
Immediately after the quiz closes.
The quiz is automatically graded by the system based on the selection of correct or incorrect answers. Each attempt will be marked after you submit your answers. The result of your last submission will be your final mark of the quiz. Extensions are not possible for quizzes. If you miss the quiz, you cannot do it later.
- Apply the principles of decision theory to interpret the needs of decision makers
- Evaluate the roles, trends and impacts of various business intelligence and analytics tools in organisations
- Evaluate the importance of data analysis, data processing and visualisation
- Problem Solving
- Critical Thinking
As a CQUniversity student you are expected to act honestly in all aspects of your academic work.
Any assessable work undertaken or submitted for review or assessment must be your own work. Assessable work is any type of work you do to meet the assessment requirements in the unit, including draft work submitted for review and feedback and final work to be assessed.
When you use the ideas, words or data of others in your assessment, you must thoroughly and clearly acknowledge the source of this information by using the correct referencing style for your unit. Using others’ work without proper acknowledgement may be considered a form of intellectual dishonesty.
Participating honestly, respectfully, responsibly, and fairly in your university study ensures the CQUniversity qualification you earn will be valued as a true indication of your individual academic achievement and will continue to receive the respect and recognition it deserves.
As a student, you are responsible for reading and following CQUniversity’s policies, including the Student Academic Integrity Policy and Procedure. This policy sets out CQUniversity’s expectations of you to act with integrity, examples of academic integrity breaches to avoid, the processes used to address alleged breaches of academic integrity, and potential penalties.
What is a breach of academic integrity?
A breach of academic integrity includes but is not limited to plagiarism, self-plagiarism, collusion, cheating, contract cheating, and academic misconduct. The Student Academic Integrity Policy and Procedure defines what these terms mean and gives examples.
Why is academic integrity important?
A breach of academic integrity may result in one or more penalties, including suspension or even expulsion from the University. It can also have negative implications for student visas and future enrolment at CQUniversity or elsewhere. Students who engage in contract cheating also risk being blackmailed by contract cheating services.
Where can I get assistance?
For academic advice and guidance, the Academic Learning Centre (ALC) can support you in becoming confident in completing assessments with integrity and of high standard.