BALA302: Business Analytics Industry Project

Subject Outline

6 credit points

Subject Information

Spring, 2023, Wollongong

On Campus

On-Campus Delivery This subject is delivered in-person and includes on-campus or other location-based learning activities that cannot be undertaken by students studying Online/Distance. Students unable to attend campus or any other nominated physical delivery location should not enrol in this subject.

UOW may need to change teaching locations/venues and/or teaching delivery at short notice to ensure the safety and wellbeing of students and staff in response to the COVID-19 pandemic or other public health requirements.

For up-to-date information on the impact of COVID- 19 please refer to your subjects Moodle site.

Faculty Vision, Mission and PRME

Our mission is to inspire and develop globally-minded and socially responsible community members and leaders, through high-quality teaching, impactful research and meaningful engagement with community,

government, industry and academic partners. The full Vision and Mission statements can be found at

https://www.uow.edu.au/business-law/schools-entities/business/about-us/vision-and-mission/

We are a signatory to the Principles of Responsible Management Education (PRME) and supports the realisation

of the United Nations Sustainable Development Goals. More information on PRME can be found at

https://www.uow.edu.au/business-law/about/

Teaching Staff

Expectations of Students

UOW values are intellectual openness, excellence and dedication, empowerment and academic freedom, mutual respect and diversity, recognition and performance. We will provide a safe, equitable and orderly environment    for the University community, and expect each member of our community to behave responsibly and ethically    (UOW Student Conduct Ruleshttps://documents.uow.edu.au/about/policy/learning/index.html).

We expect that students demonstrate these values and professional behaviour, both face to face and online, making genuine efforts to complete their studies successfully, arriving on time to class, taking part

constructively in class discussions and activities, demonstrating appropriate professional and ethical conduct in

all communication with UOW staff and community members, and submitting assignments on time (or completing a request for Academic Consideration in advance if needed).

Communication and eLearning Etiquette

Guidelines on the use of email to contact teaching staff, mobile phone use in class and information on the

university guide to eLearning 'Netiquette' can be found at

https://www.uow.edu.au/student/learningcoop/software/emailetiquette/index.html

Cyber Bullying

The University is committed to providing a safe, respectful, equitable and orderly environment for the

University community, and expects each member of that community to behave responsibly and ethically.

Students must comply with the University'sStudent Conduct Rulesand related policies including theIT Acceptable Use PolicyandBullying Prevention Policy, whether undertaking their studies face-to-face, online.   For more information on appropriate communication and etiquette in the online environment please refer to the

guideOnline and Email Etiquetteor athttps://www.uow.edu.au/student/learning-co-op/technology-and- software/email-etiquette/.

Section A: General Information

Learning Outcomes

Student Learning Outcomes

On successful completion of this subject, students will be able to:

1.    Demonstrate ability to successfully work in teams to achieve group and organisational goals

2.    Demonstrate knowledge and ability to apply a range of data analysis techniques to resolve the information needs of an organisation

3.    Demonstrate ability to critically consider information needs related to an organisational problem, apply appropriate analytics techniques, develop a set of viable recommendations and communicate the

rationale for the recommendations to others

4.    Effectively communicate orally and in writing

Subject Description

This subject is the capstone subject within the Business Analytics major. The subject provides an opportunity for students to integrate knowledge and skills gained in previous subjects in the major through an industry-based group project. Working in groups, students will apply their knowledge and skills of business analytics to solve a ‘real life’ industry problem. Students will not only have to demonstrate the technical skills to solve the industry problem and justify their recommendations but also consider the ethics, and social responsibility aspects of their recommendations. The subject involves lectures, workshops and discussions where students are initially briefed on a ‘clients’ specific information-based problem and are then required to develop an analytical solution involving making recommendations to the client. The emphasis in the solution is around the analytical process including identifying information needs, acquiring the necessary information, interpreting it and using it as the basis for a set of strategic recommendations.

Course Learning Outcomes

Course Learning Outcomes can be found in the Course Handbook https://www.uow.edu.au/handbook/index.html.

eLearning, Readings, References and Materials

The University uses the eLearning system Moodle to support all coursework subjects. The subject Moodle site can be accessed via SOLS.

You can find guidelines to eLearning herehttp://www.uow.edu.au/student/elearning/guide/index.html

Applied Work Integrated Learning

This subject has 'Applied WIL'. Students in this subject will experience both coursework and a work-related opportunity that typically includes interaction and feedback with industry professionals.

Major Text(s)

There is no major textbook for this subject. To aid your understanding of business research and analysis of information in the industry project, you should consult the key references provided below. Additionally, it is recommended that you seek your own data and literature relevant to your research context.

Software required (provided): IBM SPSS, SAS Viya - Visual Analytics, Visual Data Mining and Machine Learning, Forecasting, SmartPLS - Predictive higher-order model assessment

Textbooks are available online from the University Bookshop athttps://unicentre.uow.edu.au/unishop/ Textbooks are available online from the University Bookshop athttps://unishop.uow.edu.au/

Textbook details are available online from the University Bookshop athttps://unishop.uow.edu.au/ Key References

The recommended readings below are not intended as an exhaustive list of references. Students should also use the library catalogue and databases to locate additional resources.

Akter, S., Hossain, M. A., Tarba, S. Y., & Leonidou, E. (2023). How does quality-dominant logic ensure marketing analytics success and tackle business failure in industrial markets?. Industrial Marketing

Management, 109, 44-57.

Aydiner, A. S., Tatoglu, E., Bayraktar, E., Zaim, S., & Delen, D. (2019). Business analytics and firm

performance: The mediating role of business process performance. Journal of Business Research, 96, 228-237.

Burns, A. C., Veeck, A., and Bush, R. F (2017), Marketing Research, Global Edition, Eighth edition. Harlow, England: Pearson.

Hair Jr, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2021). A primer on partial least squares structural equation modeling (PLS-SEM). USA: Sage publications.

Kristoffersen, E., Mikalef, P., Blomsma, F., & Li, J. (2021). The effects of business analytics capability on circular economy implementation, resource orchestration capability, and firm performance. International Journal of Production Economics, 239, 108205.

Schniederjans, M. J., Dara G. S., and Christopher M. S (2015), Business analytics principles, concepts, and applications with SAS: what, why, and how, Upper Saddle River, NJ Pearson.

Sharda, R., Delen, D., & Turban, E. (2021). Analytics, data science, & artificial intelligence: Systems for decision support. Harlow, UK: Pearson.

Shmueli, G., Sarstedt, M., Hair, J. F., Cheah, J. H., Ting, H., Vaithilingam, S., & Ringle, C. M. (2019).

Predictive model assessment in PLS-SEM: guidelines for using PLSpredict. European journal of marketing, 53(11), 2322-2347.

Lectures, Workshops and Attendance Requirements

Lecture Times *

UOW may need to change teaching locations, teaching delivery and/or assessment delivery at short notice to ensure the safety and well-being of students and staff in response to the COVID-19 pandemic or other public health requirements.

For up-to-date information on the impact of COVID- 19 please refer to your subjects Moodle site.

Up to date timetable and delivery information is located at

http://www.uow.edu.au/student/timetables/index.html

For current timetable information please refer to the online Subject Timetables on the Current Students webpage.

Lecture Program *

* The above times and program may be subject to change. Students will be notified of any change via SOLS.

Lecture Recording

The University of Wollongong supports the recording of UOW educational content as a supplemental study  tool, to provide students with equity of access, and as a technology-enriched learning strategy to enhance the student experience.

If you make your own recording of a lecture, class, seminar, workshop or any other educational session provided as part of your course of study you can only do so with the explicit permission of the lecturer and those people who are also being recorded.

You may only use educational content recorded through the delivery of subject or course content, whether they are your own or recorded by the university, for your own educational purposes. Recordings cannot be altered,shared or published on another platform, without permission of the University, and to do so may contravene the

University's Copyright Policy, Privacy Policy, Intellectual Property Policy, IT Acceptable Use Policy and Student Conduct Rules. Unauthorised sharing of recordings may also involve a breach of law under the

Copyright Act 1969.

Most lectures in this subject will be recorded, when they are scheduled in venues that are equipped with lecture recording technology, and made available via the subject Moodle site within 48 hours.

Your Privacy - Lecture Recording

In accordance with the Student Privacy & Disclosure Statement, when undertaking our normal teaching and

learning activities, the University may collect your personal information. This collection may occur incidentally during the recording of lectures in equipped venues (i.e. when your identity can be ascertained by your image,    voice or opinion), or via the delivery of online content therefore the University further advises students that:

.     Lecture recordings are made available to students, university staff, and affiliates, securely on the university's IT Platforms and via the subject Moodle eLearning site;

.     Recordings are made available only for the purpose for which they were recorded, for example, as a supplemental study tool or to support equity and access to educational resources;

.     Recordings are stored securely for up to four years

If you have any concerns about the use or accuracy of your personal information collected in a lecture recording, you may approach your Subject Coordinator to discuss your particular circumstances.

The University is committed to ensuring your privacy is protected. If you have a concern about how your personal information is being used or managed please refer to the University's Privacy Policy or consult our Privacy webpagehttps://www.uow.edu.au/privacy/

Tutorial/Seminar/Workshop Times

The Faculty of Business and Law uses the SMP Online Tutorial System and tutorial times and locations can be found athttps://www.uow.edu.au/student/timetables/index.html. Please note that tutorial times on the timetable are provisional and may change.

Tutorial/Seminar/Workshop Program

Where restrictions require temporary adjustments for delivery and tutorial/seminar/workshop arrangements, any necessary changes will be advised and provided by your Subject Coordinator. Please check the subject Moodle   site regularly.