| Subject Code and Title | MIS 609 Data Management and Analytics |
| Assessment | Case Study Report: Data Management solution |
| Individual/Group | Individual |
| Length | 2000 words (+/- 10%) |
| Learning Outcomes | The Subject Learning Outcomes demonstrated by successful completion of the task below include: Evaluate the broad concepts of data managementElaborate how to manage data within organisations, teams and projects. Investigate techniques on how to collect, store, clean and manipulate data.Critically analyse and apply data issues in an organisational context.Effectively report and communicate findings to a business audience who are not necessarily IT professionals. |
| Submission | Due by 11:55pm AEST/AEDT Sunday end of Module 6.1 |
| Weighting | 35% |
| Total Marks | 100 marks (100 marks unless it is a quiz assessment) |
Assessment Task
For this assignment, you are required to write a 2000-word case study report proposing data management solutions for the organisation presented in the case scenario.
Context
Module 5 and 6 explored the fundamentals of data management. This assignment gives you the opportunity to make use of these concepts and propose a data management solution for the organisation presented in the case scenario.
Assessment Instructions
- Read the case scenario provided in the assessment area.
- Write a 2000-word enterprise data management solution for the company
- The solution should discuss how it helps the company to solve the technical or operational complexity of handling data.
Eg1: problem of securely maintaining customer data can be solved by implementing data security practises, setting up a security framework that establishes right users to get access to the data, continuous audit will help to monitor any malpractice etc.
Eg2: poor data quality issues can be solved by implementing data quality measures
- Remember not to deep dive into any topics, the solution is more at a conceptual level
- Please address the below areas
- Identifying the business requirements and existing issues in data operations (explain techniques used collecting requirements)
- Data management operations relating to the various kinds of data that the company deals with.
- Data Architecture (provide example of a proposed architecture that will help in processing the data e.g. ETL(datawarehousing or cloud solution)
- Data quality measures
- Metadata management
- Handling legacy data – Data migration
- Data archival
- Data governance measures
- Data privacy
- Expected benefits
- The areas listed above are indicative and are in no sequence. When addressing this in the solution, please ensure you write in an orderly fashion. Also, any other data management areas not listed above can also be covered.
- You are strongly advised to read the rubric, which is an evaluation guide with criteria for grading your assignment.
Referencing
It is essential that you use appropriate APA style for citing and referencing research. Please see more information on referencing here: http://library.laureate.net.au/research_skills/referencing
Submission Instructions
Submit Assessment 3 via the Assessment link in the main navigation menu in MIS609 Data Management and Analytics. The Learning Facilitator will provide feedback via the Grade Centre in the LMS portal. Feedback can be viewed in My Grades.
Academic Integrity
All students are responsible for ensuring that all work submitted is their own and is appropriately referenced and academically written according to the Academic Writing Guide. Students also need to have read and be aware of Torrens University Australia Academic Integrity Policy and Procedure and subsequent penalties for academic misconduct. These are viewable online.
Students also must keep a copy of all submitted material and any assessment drafts.
Special Consideration
To apply for special consideration for a modification to an assessment or exam due to unexpected or extenuating circumstances, please consult the Assessment Policy for Higher Education Coursework and ELICOS and, if applicable to your circumstance, submit a completed Application for Assessment Special Consideration Form to your Learning Facilitator
Assessment Rubric
| Assessment Attributes | Fail (Yet to achieve minimum standard) 0-49% | Pass (Functional) 50-64% | Credit (Proficient) 65-74% | Distinction (Advanced) 75-84% | High Distinction (Exceptional) 85-100% |
| Effective communication Clear and logical structure. Flow of information. Use of client-friendly language. 20% | Lack of logical and clear structure. Poor flow of information with arguments that lack supporting evidence. No effort is made to use client friendly language. | Information, arguments, and evidence are presented in a way that is not always clear and logical. Limited use of client friendly language. | Information and evidence are adequately presented, with a mostly clear flow of ideas and arguments. Reasonable use of client friendly language. | Information and evidence are well presented, with clear and logical flow of ideas and arguments. Effective use of client friendly language. | Information and evidence expertly presented, with a clear and logical flow of ideas, arguments and evidence. Effective use of client friendly language. |
| Analysis and synthesis Awareness of the context. Effective analysis of the situation and synthesis. 40% | Demonstrates little or no awareness of the context and understanding of the situation. Limited use of relevant concepts. The solution does not address the problem. | Demonstrates limited awareness of the context and analysis of the situation. Limited use of relevant concepts. The solution does not accurately address the problem. | Demonstrates a reasonable awareness of the context and analysis of the situation. Appropriate use of concepts. The solution provided targets the problem partially. | Demonstrates a good awareness of the context and analysis of the situation. Accurate use of relevant concepts to provide a solution to address the problem. | Demonstrates a thorough awareness of the context and analysis of the situation. Effective use of all the relevant concepts to provide a solution to the problem. |
| Quality of the proposed solution, level of detail and objectivity 40% | The proposed solution does not meet the minimum acceptable quality standard. The solution is very broad and vague. | The proposed solution is of adequate quality, but it is not detailed, and is subjective. | The proposed solution is of good quality, detailed and adequately objective. | The proposed solution is of high quality, very detailed and objective. | The proposed solution is of excellent quality, detailed and objective. |
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