Assignment Task
Learning Outcomes (LO):
After completing the module, you should be able to:
1. Analyse methods of auditing data holdings and gap identification.
2. Critically analyse theoretical and core processes of data manipulation and mining.
3. Utilise and evaluate basic statistical concepts.
4. Appreciate ethical issues and their importance to data handling and decision making.
5. Develop a practical ability with data analysis and data mining methods to analyse and interpret data sets.
6. Make recommendations based upon the findings from data analysis.
Task 1.1
Perform data gap analysis for an organisation or project of your choice. Your response should include:
• Brief background to the organisation or project in question.
• Identification of the key data sources and datasets available to the organisation.
• Inspection of data integrity and current or potential gaps in data analytics and data protection.
Task 1.2
Using the findings of Task 1.1, recommend improvements to the organisational data analytics processes. These should be centred around the following:
• Reorganisation of the current data-driven processes to streamline and enhance the data analytics and decision making.
• Roadmap to the development or enhancement of the big data infrastructure.
• Compliance aspects of the proposed changes in data analytics.
Task 1.3
Explain how the proposed big data analytics can be used in the organisational decision making.
This includes the following:
• Identification of a range of business decisions that can be supported by the enhancements in data analytics proposed in Task 1.2.
• Formulation of a single decision of your choice out of those identified, in terms of the related business question to be solved, involved stakeholders and data available for
its support.
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