DAT7001 :Data Handling and Decision Making - Essay Writing - IT Assignment Help

Assignment Task:

Task:

Assignment Part 1: Data Gap Analysis

Data gap analysis can be referred to as the process of inspecting an existing or planned big data infrastructure with the aim of identifying issues, risks and inefficiencies associated with the use of data in organisation’s operations. Such analysis requires an integrated view on technical, managerial and legal aspects of organisational data. This activity represents a key initial step towards implementation of data-driven business decision-making. For this assignment, you are required to demonstrate the data gap analysis for a case study of your choice.

Case study choice. You are encouraged to relate this assignment to your workplace, so that the outcomes can immediately be applied to improving its data analytics processes. However, if you have no immediate workplace to analyse or its use for the assignment purposes is not possible, then you have an option of adopting another project (such as a commercial start-up, community project or social enterprise) which would take advantage of data driven decision-making. Either an existing or prospective project can be discussed. In the latter case, the data infrastructure might not exist yet, however, you have an opportunity to propose its design and analyse it for any potential gaps.

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.

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