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Data Handling and Decision Making Assessment should be submitted as a single Word (MS Word) file (Essay/Report separated)

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Data Handling and Decision Making
Assessment should be submitted as a single Word (MS Word) file (Essay/Report separated).
Must use the AU Harvard Referencing method.

Assignment Task – Essay. Assignment Part 1: Data Gap Analysis
(Maximum word count: 1,000 words)

Task 1.1 (approx. 350 words)
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 (approx. 450 words)
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 (approx. 200 words)
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. (You will then be required to analyse this decision systematically in Part 2 of this Assignment.)


Assignment Task – Report. Assignment Part 2: Data-Driven Decision Support
(Maximum word count: 4,000 words)
In Part 1 of this assignment, you have identified a case study – an organisation or project of your choice, as well as various data sources and datasets available to it, and an important organisational decision. In this part, you have an opportunity to demonstrate how this specific decision formulated in Part 1 in the context of your chosen case study can be supported with data analytics.

Task 2.1 (approx. 800 words)
Discuss data preparation process, including
• Explanation of data collection, filtering and integration procedures.
• Analysis of data representativeness.
• Statement on generalisability and limitations of the integrated dataset.

Task 2.2 (approx. 2000 words)
Perform data modelling, which should specifically demonstrate:
• Selection and justification of the inferential and/or machine learning models, most relevant to the objectives of your case study.
• Application of statistical tools such as Excel, SPSS and/or Weka, to your model and reporting on the initial outcomes of your modelling.
• Explanation what the decision in question should be, based on these outcomes.

Task 2.3 (approx. 700 words)
Present further outcomes, in support of the decision obtained in Task 2.2. This discussion should be visualised with a range of charts and tables showing the identified and analysed relationships. It should also be accompanied with detailed interpretation of the demonstrated results.

Task 2.4 (approx. 500 words)
Propose recommendations on the implementation, acceptance and assessment of the decision arrived at in Tasks 2.2 and 2.3, and discuss how this decision can contribute to strategic management of the chosen organisation or project.