BUSAN 304 : Business Analytics Capstone

Business and Economics

2021 Semester Two (1215) (15 POINTS)

Course Prescription

Based on a real-life project and focuses on creating a competitive advantage through improving the overall decision-making process of the company hosting the project: from data through to decisions. By exploring the challenges surrounding decision-making students will utilise the skills gained in previous courses enabling the deployment of business analytics tools to find practical solutions to benefit the host company.

Course Overview

In today’s business landscape, when competing companies have access to similar resources and technologies, it is the quality of decision-making that often becomes the only source of competitive edge. It is not a coincidence that when celebrated companies unveil the main secrets of their success, the evidence-based management (or data-driven decision-making) is always among them.
The course aims to help students integrate and strengthen their Business Analytics skills needed for supporting evidence-based management in a company. 

The course assignments cover all stages of a business analytics process (descriptive, predictive, prescriptive), with a particular focus on the connectivity of all stages and credibility of the analysis. Considering most of work in companies is done in teams, and challenges students might be familiar with doing group assignments in previous courses, the group assignments  offered in the course aim to help students make use of antecedents of successful team work not only for Business Analysts but more generally. 

It is worth noting that while proficiency with the discipline-specific tools (e.g., MySQL Workbench and Tableau) and mastery of the domain knowledge is crucial for qualifying as a Business Analytics professional, the higher-level goal of the course is the improvement of the most fundamental and transferable to any other domain skills such as critical thinking, solution-seeking and communication. With regard to the latter, the course emphasizes the need  for mastering communication skills across a range of communication media used in real life: reports, interactive dashboards, meeting agendas and minutes, etc. .

Course Requirements

Prerequisite: 15 points from BUSAN 201, 300, 301, and 30 points at Stage III Restriction: INFOMGMT 394

Capabilities Developed in this Course

Capability 1: Disciplinary Knowledge and Practice
Capability 2: Critical Thinking
Capability 3: Solution Seeking
Capability 4: Communication and Engagement
Capability 5: Independence and Integrity
Capability 6: Social and Environmental Responsibilities
Graduate Profile: Bachelor of Commerce

Learning Outcomes

By the end of this course, students will be able to:
  1. Conduct ETL and create a data warehouse for analytics purposes (OLAP). (Capability 1, 2, 3, 5.1 and 5.2)
  2. Identify Identify business stakeholders, relevant KPIs and targets, and create an interactive dashboard. (Capability 1, 2, 3, 4.1, 4.2, 5.1 and 5.2)
  3. Conduct a data analysis, identify a business problem, propose and justify a better policy. (Capability 1, 2, 3, 4.1, 4.2, 5.1 and 5.2)
  4. Create forecasts with consideration of the stakeholder requirements using commonly available tools and understand their limitations. (Capability 1, 2, 3, 4.1, 4.2, 5.1 and 5.2)
  5. Report and convey the data insights to the stakeholders using different means of communication. (Capability 4.1, 4.2, 5.1 and 5.2)
  6. Complete analytics tasks working individually, and a valuable member of a small group, applying teamwork strategies and tactics to performs tasks effectively, with appreciation that the group results depend on all members, and allowing for the group diversity. (Capability 4.3, 5.1, 5.2 and 6)

Assessments

Assessment Type Percentage Classification
Quizzes 5% Individual Coursework
Practical 30% Individual Coursework
Practical 20% Group Coursework
Exam 40% Individual Examination
Essay 5% Individual Coursework
Assessment Type Learning Outcome Addressed
1 2 3 4 5 6
Quizzes
Practical
Practical
Exam
Essay

Workload Expectations

This course is a standard 15 point course and students are expected to spend 10 hours per week involved in each 15 point course that they are enrolled in.

For this course, you can expect, over the semester, 24 hours of lectures, 12 hours of dedicated Q/A sessions,  24 hours of reading and thinking about the content and 90 hours of work on assignments and/or test/exam preparation.

Delivery Mode

Campus Experience

Attendance of lectures and labs is required complete/receive credit for components of the course.
Lectures that do not contain references to any sensitive data used in the course will be available as recordings. Other learning activities including seminars/tutorials/labs will not be available as recordings. Occasionally, the course may include include live online events including group discussions/tutorials.
Attendance on campus is required for the test/exam.
The activities for the course are scheduled as a standard weekly timetable.

Learning Resources

  • A link to the course pack with the required case studies on the Harvard Business Publishing web site will be provided on Canvas.
  • Links to relevant readings on the Internet will be provided on Canvas.

Student Feedback

At the end of every semester students will be invited to give feedback on the course and teaching through a tool called SET or Qualtrics. The lecturers and course co-ordinators will consider all feedback and respond with summaries and actions.

Your feedback helps teachers to improve the course and its delivery for future students.

Class Representatives in each class can take feedback to the department and faculty staff-student consultative committees.

Other Information

  • The data set used in the course belongs to the organization provided it. Moreover, despite certain measures had been taken to remove/disguise the information about third parties (for example, customer names) the data still contains sensitive information about the company provided it (for example, the overall performance, trends, etc.). Therefore, to access the data set, students will be required to sign a non-disclosure agreement.
  • Only the first week's meeting is a lecture and it will be recorded. It is expected that during all other in-class meetings some discussion of the performance of the focal company may take place. Therefore, due to privacy reasons, video recordings of those meetings cannot be posted on Canvas and will not be made. Lectures by industry speakers will not be recorded as guests’ presentations may contain sensitive information about their employers or clients.

Digital Resources

Course materials are made available in a learning and collaboration tool called Canvas which also includes reading lists and lecture recordings (where available).

Please remember that the recording of any class on a personal device requires the permission of the instructor.

Academic Integrity

The University of Auckland will not tolerate cheating, or assisting others to cheat, and views cheating in coursework as a serious academic offence. The work that a student submits for grading must be the student's own work, reflecting their learning. Where work from other sources is used, it must be properly acknowledged and referenced. This requirement also applies to sources on the internet. A student's assessed work may be reviewed against online source material using computerised detection mechanisms.

Inclusive Learning

All students are asked to discuss any impairment related requirements privately, face to face and/or in written form with the course coordinator, lecturer or tutor.

Student Disability Services also provides support for students with a wide range of impairments, both visible and invisible, to succeed and excel at the University. For more information and contact details, please visit the Student Disability Services’ website http://disability.auckland.ac.nz

Special Circumstances

If your ability to complete assessed coursework is affected by illness or other personal circumstances outside of your control, contact a member of teaching staff as soon as possible before the assessment is due.

If your personal circumstances significantly affect your performance, or preparation, for an exam or eligible written test, refer to the University’s aegrotat or compassionate consideration page https://www.auckland.ac.nz/en/students/academic-information/exams-and-final-results/during-exams/aegrotat-and-compassionate-consideration.html.

This should be done as soon as possible and no later than seven days after the affected test or exam date.

Learning Continuity

In the event of an unexpected disruption we undertake to maintain the continuity and standard of teaching and learning in all your courses throughout the year. If there are unexpected disruptions the University has contingency plans to ensure that access to your course continues and your assessment is fair, and not compromised. Some adjustments may need to be made in emergencies. You will be kept fully informed by your course co-ordinator, and if disruption occurs you should refer to the University Website for information about how to proceed.

Student Charter and Responsibilities

The Student Charter assumes and acknowledges that students are active participants in the learning process and that they have responsibilities to the institution and the international community of scholars. The University expects that students will act at all times in a way that demonstrates respect for the rights of other students and staff so that the learning environment is both safe and productive. For further information visit Student Charter https://www.auckland.ac.nz/en/students/forms-policies-and-guidelines/student-policies-and-guidelines/student-charter.html.

Disclaimer

Elements of this outline may be subject to change. The latest information about the course will be available for enrolled students in Canvas.

In this course you may be asked to submit your coursework assessments digitally. The University reserves the right to conduct scheduled tests and examinations for this course online or through the use of computers or other electronic devices. Where tests or examinations are conducted online remote invigilation arrangements may be used. The final decision on the completion mode for a test or examination, and remote invigilation arrangements where applicable, will be advised to students at least 10 days prior to the scheduled date of the assessment, or in the case of an examination when the examination timetable is published.

Published on 11/07/2021 06:28 p.m.