Reference no: EM133100397 , Length: word count:1400
MIS609 Data Management and Analytics - Torrens University
Case Study Report: Data Management
Learning Outcome 1: Demonstrate an understanding of the broad concepts of data management.
Learning Outcome 2: Demonstrate how to manage data within organisations, teams and projects. Investigate techniques on how to collect, store, clean and manipulate data.
Learning Outcome 3: Explore data management techniques and apply when and where applicable.
Learning Outcome 4: Effectively report and communicate findings to a business audience who are not necessarily IT professionals.
Task Summary
For this assignment, you are required to write a 1500-word report proposing data management solutions for the organisation presented in the case scenario.
Context
Module 1 and 2 explored the fundamentals of data management. This assignment gives you the opportunity to make use of these concepts and propose a data management solution (a pre- proposal) for the organisation presented in the case scenario.
Task Instructions
1. Please read the attached case scenario.
2. Write a 1500-word data management pre-proposal for the organisation.
3. The pre-proposal should not only discuss the technical but also the managerial aspects (cost, manpower, resources, etc.). Please keep in mind that you are writing a pre-proposal and not a detailed proposal.
4. Please ensure that you remain objective when writing the pre-proposal.
5. Your pre-proposal should yidaenasllwer (but not be limited to) the following questions:
a) What would the data management strategy be?
b) Which kind of data would be managed by your organization and how?
c) How many staff members at your organization would manage data of this retailer; what would be the team hierarchy and what would their expertise be?
d) What resources would be required from the retailer?
e) What deliverables (hard and soft) would be provided to the retailer?
f) What would general data management operations look like?
g) How would data management policy be set and how would it be implemented?
h) How would metadata be managed?
i) How would data quality be managed?
j) How would data management practices be audited and how would quality be assessed?
k) How will user and business requirements be collected from the clients?
l) Which data architectures and platforms would be used?
m) How would legacy data be taken care of?
n) How would risks be managed?
o) What benefits would the retailer have as a result of outsourcing this service to your organisation?
p) Others....
6. The questions mentioned above are written randomly, in no particular sequence. When addressing these questions in your pre-proposal, please ensure that you write in a systematic way. Make use of the web to find out what pre-proposals look like.
7. You are strongly advised to read the rubric, which is an evaluation guide with criteria for grading your assignment. This will give you a clear picture of what a successful pre-proposal looks like.
Referencing
It is essential that you use appropriate APA style for citing and referencing research.
Attachment:- Data Management and Analytics.rar