Reference no: EM133746825
Data Management and Analytics
Case Study Report: Data Management solution
Learning Outcome 1: Evaluate the broad concepts of data management.
Learning Outcome 2: Elaborate how to manage data within organisations, teams, and projects. Investigate techniques on how to collect, store, clean and manipulate data.
Learning Outcome 3: Critically analyse and apply data issues in an organisational context.
Learning Outcome 4: Effectively report and communicate findings to a business audience who are not necessarily IT professionals.
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 (DM) solution for the organisation. The solution should discuss how it helps the organisation to solve the technical or operational complexity of handling their data. Do not deep dive into any topic. Rather provide the data management solution more at a conceptual level.
Identifying the business requirements, data requirements and the existing issues in data handling.
For example, issues may be related to:
- Data Architecture
- Data integrity
- Data Storage
- Metadata management
- Handling legacy data
- Data migration
- Data archival
- Data governance
- Data privacy
- Handling documents
- Data integration
Identify data management operations needed to tackle the identified issues, to meet the data-based requirements and identify steps to be taken to improve their overall workflow and operational efficiency.
Document these operations and steps as a DM strategy. Focus on how new approaches can be implemented or how existing methods and workflow can be improved etc. Your DM strategy should be relevant to each of the issues that you identify from the case scenario.
Eg.1: Problem of securely maintaining data can be solved by implementing data security practices, setting up a security framework that establishes accessrightsto data, continuous auditing to monitormalpractices etc.
Eg.2: Data quality issues can be solved by data profiling, staff training, using a data quality management tool etc.
Also provide a schematic of a suitable data architecture as a block schematic (at a conceptual level) that describes how data is proposed to be managedinthisscenario - from storage and collection through to integration, transformation, distribution, and consumption.
The areas / DM operations listed above are indicative and are in no particular sequence. When addressing each DM area in the proposed solution, ensure that there is relevance to the case scenario provided and write in an orderly fashion.
Referencing
It is essential that you use appropriate APA style for citing and referencing research.