DATA4000 A3

Page 1 Kaplan Business School Assessment Outline

Assessment 3 Information

Subject Code: DATA4000

Subject Name: Introduction to Business Analytics

Assessment Title: Individual Report and Individual Presentation

Assessment Type: Report and Presentation

Word Count: 1800 words  10% for Part A (report)

8 - 12 slides for Part B (presentation)

Weighting: 40 % (25 + 15)

Total Marks: 40

Submission: TurnItIn and in class

Due Date:

Part A due Tuesday Week 12, 23:55pm AEST through TurnItIn

Part B video presentation due Tuesday Week 13, 23:55pm AEST through MyKBS link.

Your Task

Consider below information regarding the National Australia Bank data breach.

Read the case study carefully and using the resources listed, together with your own research, complete:

• Part A (Industry Report) Individually by Monday 23: 55pm AEST Week 12

• Part B (Application for data access presentation) submitted in Tuesday Week 13 at 23:55 AEST, as an individual video upload.

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Assessment Description

National Australia Bank

https://www.afr.com/companies/financial-services/nab-repays-customers-688k-for-data-breach- 20210421-p57l1q

Background

“The accounts of about 13,000 NAB customers were compromised on Wednesday, July 24, 2019, after an employee uploaded details, including government-issued identity documents such as Medicare cards, to two different websites with the bank informing customers on the following Friday night”.

“At the time of the event, there were insufficient technical controls in place to prevent transfers of this nature. NAB has uplifted these controls to prevent a similar event occurring in the future,” NAB said in a statement.

“Among the new controls the bank introduced were the blocking of certain websites and closer email monitoring of staff and contractors”

In 2021, National Australia Bank revealed it paid $686,878 in compensation to customers exposed to this 2019 data breach after the personal account details of 13,000 customers were uploaded to a website similar to Google Sheets.

Brief As an analyst within NAB, you have been tasked with considering ways in which customer data can be used to further assist NAB with its marketing campaigns. As a further task, you have been asked to consider how NAB could potentially assist other vendors interested in the credit card history of its customers.

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Assessment Instructions Part A: Industry Report (1800 words, 25 marks) - Individual Based on your own independent research, you are required to evaluate the implications of the Australian Privacy Principles and European legislation such as GDPR on NAB’s proposed analytics project and overall business model. Your report can be structured using the following headings: Data Usability

▪ Benefits and costs of the database to its stakeholders.

▪ Descriptive, predictive and prescriptive applications of the data available and the data analytics software tools this would require.

Data Security and privacy

▪ Data security, privacy and accuracy issues associated with the use of the database in the way proposed in the brief.

Ethical Considerations

▪ The ethical considerations behind whether the customer has the option to opt in or opt out of having their data used and stored in the way proposed by the analytics brief

▪ Other ethical issues of gathering, maintaining and using the data in the way proposed above.

Artificial Intelligence

▪ How developments in AI intersects with data security, privacy and ethics, especially in light of your proposed analytics project.

Use the resources provided as well as your own research to assist with data collection and data privacy discussions. http://www.health.gov.au/internet/main/publishing.nsf/Content/964591B00A3C9D72CA2582C70083 A1CA/$File/Public%20Consultations%20Paper.pdf https://www.oaic.gov.au/agencies-and-organisations/guides/de-identification-and-the-privacy-act

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Part B: Presentation (5 minutes, 15 marks) Instructions: You are required to prepare a presentation of 10 - 12 PowerPoint slides. You are an analyst at National Australia Bank. You have identified a way in which you can use customer data to inform customers of bank offers and offers from other vendors, based on their credit card spending history. Although it’s National Australia Bank’s own data, regulators and legislators are becoming increasingly concerned about the way in which certain types of analytics projects can infringe on privacy, individual rights and potentially be in contravention of the Australian Privacy Principles, GDPR and other legislation. Create a presentation of approximately 5 minutes in which you discuss how National Australia Bank plans to use this data and the broad implications involved. Discuss the issues below, and imagine you are communicating this presentation to government (regulators and / or legislators) as your primary audience. Consider:

1. Why you want the data and the resulting benefits to your customer base;

2. How the data can be sourced ethically and securely;

3. How you will keep the data safe from the type of attack on customer data outlined in the AFR article above.

4. How you will use your analytical findings in an ethical way.

The sources below are for your reference only. Use these as you see fit as well as your own research. http://www.health.gov.au/internet/main/publishing.nsf/Content/964591B00A3C9D72CA2582C70083 A1CA/$File/Public%20Consultations%20Paper.pdf https://www.oaic.gov.au/agencies-and-organisations/guides/de-identification-and-the-privacy-act

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Important Study Information

Academic Integrity Policy KBS values academic integrity. All students must understand the meaning and consequences of cheating, plagiarism and other academic offences under the Academic Integrity and Conduct Policy. What is academic integrity and misconduct? What are the penalties for academic misconduct? What are the late penalties? How can I appeal my grade? Click here for answers to these questions: http://www.kbs.edu.au/current-students/student-policies/.

Word Limits for Written Assessments Submissions that exceed the word limit by more than 10% will cease to be marked from the point at which that limit is exceeded.

Study Assistance Students may seek study assistance from their local Academic Learning Advisor or refer to the resources on the MyKBS Academic Success Centre page. Click here for this information.

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Assessment Marking Guide

Section Criteria NN (Fail) 0%-49%

P (Pass) 50%-64%

CR (Credit) 74%-65%

DN (Distinction) 75%-84%

HD (High Distinction) 85%-100%

Part A: Individual Report 15 marks

Evaluate the data usability, security and ethics associated with creating a data repository for diverse stakeholders and consider software requirements

Failure to address data usability and security issues associated with the company database or failure to consider software requirements

Basic description of data usability and security issues associated with creating the system Limited consideration of software capabilities

Considered discussion of data usability and security issues associated with creating the system Adequate description of the feasibility of data usability given current software capabilities

Clear evaluation of key data usability and security issues associated with creating system Well-supported consideration of the feasibility of data usability given current software capabilities

Comprehensive evaluation of key data usability and security considerations associated with creating the system with a focus on various stakeholders Very high standard assessment of the feasibility of data usability given current software capabilities

10 marks

Produce a report which is well-researched, correctly referenced, professionally presented, logical, well- structured and addresses the relevant issues

Report is not logical and fails to evaluate major issues Inadequate research conducted and sources incorrectly acknowledged

Partially referenced evaluation of issues, without a logical structure and acknowledgement of some sources from limited research

Referenced evaluation of some relevant issues with acknowledgement of most sources and evidence of reasonable research conducted into the topic

Referenced and congruent evaluation of relevant issues with acknowledgement of a wide range of sources and evidence of broad research conducted into the topic

Well-referenced, engaging and logical evaluation of relevant issues with correct acknowledgement of extensive sources and evidence of comprehensive research conducted into the topic

See part B next page

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Section Criteria NN (Fail)

0%-49% P (Pass)

50%-64% CR (Credit)

74%-65% DN (Distinction)

75%-84% HD (High

Distinction) 85%-100%

Part B: Presentation 10 marks

Construct a business case outlining the benefits of using and storing the data, while addressing the relevant ethical and security issues and concerns

Failure to make an effective argument around using the data for research and no consideration of drawbacks

A limited description of the benefits of using the data for research purposes is made and very few of the ethical and security draw- backs are mentioned

A solid presentation of the benefits of using the data for research purposes is made and some of the ethical and security draw-backs are discussed

A high-quality business case for using the data for research purposes is made by considering its major benefits and analysing the ethical and security draw- backs

An effective business case for using the data for research purposes is made by convincingly articulating the benefits this would provide for society, and expertly analysing the ethical and security draw-backs

5 marks

Effectively and clearly communicate an argument to use the data for research purposes while considering the audience and their motivations

Failure to effectively communicate key messages and a lack of consideration for the audience’s needs

Brief listing of how the data can be used for research in a way that is understandable to most people

Solid description of the use of the data for research in a way that considers some of the target audience’s needs

Clear communication and justification of the use of the data for research in a way that sufficiently considers the target audience’s needs

Effective communication and convincing justification of the use of the data for research in a way that persuades a target audience

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Assignment Submission

Students must submit Part A via TurnItIn on Monday of Week 12 at 23:55pm AEST. Part B to be submitted by Tuesday of week 13 at 23:55pm AEST. The files must be submitted as a Word or PowerPoint document to avoid any technical issues that may occur from incorrect file format upload. Uploaded files with a virus will not be considered as a legitimate submission. TurnItIn will notify you if there is any issue with the submitted file. In this case, you must contact your lecturer via email and provide a brief description of the issue and a screen shot of the TurnItIn error message.

Students are also encouraged to submit their work well in advance of the time deadline to avoid any possible delay with TurnItIn similarity report generation or any other technical difficulties.

Late assignment submission penalties 1

Penalties will be imposed on late assignment submissions in accordance with Kaplan Business School’s Assessment Policy.

Number of

days

Penalty

1* - 9 days 5% per day for each calendar day late deducted from the student’s total

Marks.

10 - 14 days 50% deducted from the student’s total marks.

After 14 days Assignments that are submitted more than 14 calendar days after the due date will not be accepted and the student will receive a mark of zero for the assignment(s).

Note Notwithstanding the above penalty rules, assignments will also be given

a mark of zero if they are submitted after assignments have been returned to students.

*Assignments submitted at any stage within the first 24 hours after deadline will be considered to be one day late and therefore subject to the associated penalty.

If you are unable to complete this assessment by the due date/time, please refer to the Special Consideration Application Form, which is available at the end of the KBS Assessment Policy:

https://www.kbs.edu.au/wp-content/uploads/2016/07/KBS_FORM_Assessment-Policy_MAR2018_FA.pdf