DAT7003: Data Design – Essay Writing – IT Computer Science Assignment Help

Assignment Task

Assignment Brief

As part of the formal assessment for the programme you are required to submit a Data Design essay. Please refer to your Student Handbook for full details of the programme assessment scheme and general information on preparing and submitting assignments.

Learning Outcomes (LO):

After completing the module, you should be able to:

1. Critically assess desired outcomes from data analysis activities.
2. Evaluate the use of data collection methods in solving specific organisational needs.
3. Critically analyse the effectiveness of an employed data collection tool.
4. Design a data collection tool to meet a specific organisational purpose.
5. Carry out, and interpret the results of, a pilot exercise for a data collection too.
6. Make developmental recommendation to enhance the effectiveness of an employed data collection tool.

Assignment Task – Essay

You are an analyst seeking to adopt big data for the improvement of business intelligence in your organisation. Such an initiative always starts with identification of data sources ensuring the provision of accurate, reliable and representative datasets which can be incorporated into the organisational data analytics. For this assignment, you are required to demonstrate the design and analysis of the respective data collection instruments 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 big data infrastructure. 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 startup, community project or social enterprise) which would take advantage of data analytics. 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.

NB1: You can use any publicly available datasets, e.g. historical data or national statistics (a sample list of public data sources can be found on the News and FAQs forum of the module). However, these datasets must be applied to in-depth analysis of your workplace or another specific project or activity which you are fully familiar with. Generic analysis of any thirdparty company is not acceptable for this assignment.

 NB2: Organisation name, other business or stakeholder particulars and any personally identifiable information can be fully anonymised.

NB3: If you are re-sitting this assessment for the first time, you may re-work your original submission if you wish. However, if this is your third attempt at this assessment, you must submit a piece of work which is substantially different from your first two attempts.

Task 1.1 Business question

In a brief statement, introduce your chosen case study. In your response, include the following.

• Its key products or services, market(s) of presence and major issues or challenges it has to deal with at the moment.
• A specific business question, which can be addressed by the application of data analytics, and its expected impact on solving the above defined issues or challenges.
• Business data, logic and knowledge artefacts which should be involved in addressing this question.

Task 1.2 Analysis of data collection instruments

Design and analyse specific data collection instruments for the acquisition of datasets which would be used in solving the business question stated in Task 1.1. You are required to identify two or more separate data collection instruments complementing each other in the process of data acquisition. Either the automated or designed instruments, or a combination of both, can be employed in this data acquisition. As a result, your data model should incorporate two or more different datasets. In your response, include the following.

• Proposal of two or more data collection instruments.
• Critical evaluation of these instruments, justifying their relevance and effectiveness for addressing the business question stated in Task 1.1.
• Potential limitations and issues associated with the proposed approach to data acquisition.

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