Assessment 1 Information

SubjectCode:	DATA4000
SubjectName:	Introduction to Business Analytics
AssessmentTitle:	Individual Case Study
AssessmentType:	Written assessment
WordCount: 2000 Words (+/-10%)
Weighting:	30 %
TotalMarks:	30
Submission:	via Turnitin
DueDate:	Tuesday Week 5, 23:55pm AEST

Your Task

Complete Parts A to C below by the due date.

Consider the rubric at the end of the assignment for guidance on structure and content.

Assessment Description

• You are to read case studies provided and answer questions in relation to the content, analytics theory and potential analytics professionals required for solving the business problems at hand.

• Learning outcomes 1 and 2 are addressed.

Assessment Instructions

Part A: Case Study Analysis (700 words, 10 marks)

Instructions:Read the following two case studies. For each case study, briefly describe:

1. The industry to which analytics has been applied

2. A potential and meaningful business problem to be solved

3. The type of analytics used, and how it was used to address that potential and meaningful business problem

4. The main challenge(s) of using this type of analytics to achieve your business objective (from part b)

5. Recommendations regarding how to be assist stakeholders with adapting these applications for their business.

1. NetflixPredictiveAnalytics:Journeyto220Mn+subscribers

https://www.engati.com/blog/predictive-analytics

2. Coca-Colavs.Pepsi:TheSweetFightForData-DrivenSupremacyhttps://www.aidataanalytics.network/data-science-ai/articles/coca-cola-vs-pepsi-the-sweet- fight-for-data-driven-supremacy

Part B: The Role of Analytics in Solving Business Problems (500 words, 8 marks)

Instructions: Describe two different types of analytics (from Workshop 1) and evaluate how each could be used as part of a solution to a business problem with reference to ONEreal-world case study of your own choosing for one type of analytics and a SECOND real-world case study of your choosing for the second type of analytics.

You will need to conduct independent research and consult resources provided in the subject.

Part C: Developing and Sourcing Analytics Capabilities (800 words, 12 marks)

Instructions:You are the Chief Analytics Officer for a large multinational corporation in the communications sector with operations that span India, China, the Philippines and Australia.

The organization is undergoing significant transformations; it is scaling back operations in existing low revenue segments and ramping up investments in next generation products and services – 5G, cloud computing and Software as a Service (SaaS).

The business is keen to develop its data and analytics capabilities. This includes using technology for product innovation and for developing a large contingent of knowledge workers.

To prepare management for these changes, you have been asked review Accenture’s report (see link below) and publish a short report of your own that addresses the following key points:

1. How do we best ingrain analytics into the organisation’s decision-making processes?

1. How do we organize and coordinate analytics capabilities across the organization?

1. How should we source, train and deploy analytics talent?

To help you draft this report, you should review the following working paper from Accenture:

https://pdfcoffee.com/accenture-building-analytics-driven-organization-pdf-free.html

The report is prepared for senior management and the board of directors. It must reflect the needs of your organization and the sector you operate in (communications).

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.

Whatisacademicintegrityandmisconduct?Whatarethepenaltiesforacademicmisconduct?Whatarethelatepenalties?

HowcanIappealmygrade?

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.

Assessment Marking Guide

Inadequate description of analytics types and/or inadequate explanation of how analytics could be used as part of a business problem with	Comprehensive description of the different types of analytics and a critical evaluation of how each can be used to address a business problem	4
minimal research conducted	Convincing and engaging exploration of feasible analytics solutions with reference to well-researched, detailed case studies	4

Student is not able to identify the types of analytics undertaken by various roles	Student comprehensively identifies the types of analytics undertaken by various roles	6
Student does not provide feasible recommendations for the type of analytics professionals required by a given scenario	Student provides well supported recommendations for the type of analytics professionals required by a given scenario	6

Assignment Submission

Students must submit their individual analysis via Turnitin on Tuesday of Week 5 at 23:55pm AEST.

This file must be submitted as a PDF 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

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:

Page 8 Kaplan Business School Assessment Outline

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