Assessment Information COMMONWEALTH OF AUSTRALIA Copyright Regulations 1969 This material has been reproduced and communicated to you by or on behalf of Kaplan Business School pursuant to Part VB of the Copyright Act 1968 (‘Act’). The material in this communication may be subject to copyright under the Act. Any further reproduction or communication of this material by you may be the subject of copyright protection under the Act. Kaplan Business School is a part of Kaplan Inc., a leading global provider of educational services. Kaplan Business School Pty Ltd ABN 86 098 181 947 is a registered higher education provider CRICOS Provider Code 02426B. Assessment Information Subject Code: MBA504 Subject Name: Data Analysis, Problem Solving and Digital Operations Assessment Title: Data Analytics Case Study Assessment Type: Written Report Word Limit: 2000 Words Weighting: 40% Total Marks: 40 Due Date: Monday of Week 10 at 11:55pm AEST . Assessment Description . .. In this assessment, you need to consider an organisation in an industry of your choice and articulate the steps needed to enable data driven decision making. Describe the current mode of operation, possible inefficiencies, available data and how this data may be used to provide efficiencies based on the concepts and techniques covered in the subject. Assessment Marking Rubric This case study will be marked on the grounds of whether or not the following competencies are present. Writing Style Present? The introduction states the purpose of the case study and its structure. The conclusion summarises the arguments and draws them together into a cohesive finish. The body of the report contains sections that are logically connected to each other. There are fewer than three spelling or grammatical errors per page. The format of the paper is double-spaced, using 12-point font, and within 10% of the word limit. References are included where required with each one recorded in the Harvard format. Grade for this section (weight 20%) Analytic Skills Present? The problem or potential for efficiency has been clearly identified. Key metrics that define the problem have been identified. It has been verified that there is data that would provide these metrics. The methods that could be used to analyse the data have been explained. An example has been included of a dashboard showing the output from the analysis of sample data. Grade for this section (weight 30%) Application Skills Present? The key stakeholders have been identified. The design of the system that could present insights to these stakeholders has been articulated. The format that could be used to provide this output has been explicated. Organisational benefits and consequences have been specified. Grade for this section (weight 10%)Assessment Information COMMONWEALTH OF AUSTRALIA Copyright Regulations 1969 This material has been reproduced and communicated to you by or on behalf of Kaplan Business School pursuant to Part VB of the Copyright Act 1968 (‘Act’). The material in this communication may be subject to copyright under the Act. Any further reproduction or communication of this material by you may be the subject of copyright protection under the Act. Kaplan Business School is a part of Kaplan Inc., a leading global provider of educational services. Kaplan Business School Pty Ltd ABN 86 098 181 947 is a registered higher education provider CRICOS Provider Code 02426B. Practical Skills Present? Factors that influence the student’s decision-making processes have been made clear. Challenges in the implementation of the solutions have been declared. The report has insightful graphical representations. Grade for this section (weight 20%) Reflective Skills Present? The student has declared what he/she has learned about data analytics as a result of this assessment. The student has declared the challenges and obstacles that have been personally overcome. Grade for this section (weight 20%) Final Average Grade