DAT7003 - Data Analysis Activities - Effectiveness of an Employed Data Collection Tool - IT Computer Science Assignment Help

Assignment Task :

Assignment Brief(DAT7003)
As part of the formal assessment for the programme you are required to submit a Data Design report. Please refer to your Student Handbook for full details of the programme assessment scheme and general information on preparing and submitting assignments.

Learning Outcomes:
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.

Question 1
Phrase a business objective you want to target and the following question. Classify and describe its type, and elaborate on the implications this type of question has had
currently and on future phases of the process. Identify and write about data requirements that are derived from this question. For example: what is your unit of analysis and what are the implications of the analysis technique you choose to use. Write about your risk assessments (e.g., applicability, availability of resources, ethics
and more) and describe relevant knowledge artefacts in addition to business rules that should be applied to compute significant business variables.

Question 2
Critically analyse the effectiveness of an employed data collection tool that was used to collect the data required to answer the business question asked. Ensure that you cover the potential strengths and weaknesses of the data collection tool using appropriately referenced scholarly material and the collected data. Please make sure you attach the survey or interview questions as an appendix to your assignment.

Question 3
Based on the results of your critique, either use the dataset(s) already available or collect two datasets by designing a data collection tool that mitigates the disadvantages of the existing data collection tool. If using two datasets, the two datasets should be complementing, i.e., each of the datasets should add its own
dimension, related to your business question. If using one dataset, ensure that the dataset contains all the relevant information required to answer the business
question else collect additional data. Describe the datasets you are collecting. If you choose to use designed data collection to one or two of your datasets, please design
each as a short survey or interview, and briefly describe them. Also, please attach the survey / interview as an appendix to this assignment. If you can collect a
minimum of 30 responses, that is ideal, but if you cannot, 10-20 responses would be fine, as long as you specify that as a limit of your study. If you choose automatic
collection, please describe the source, how data is being collected, and bring a short preview of the data. For each dataset, please specify how it applies to your business
question, what tool did you use, what is your sampled population and what are the biases you ought to be aware of.

Question 4
Describe your integrated dataset using the concepts explained in this module (data types formats etc.). Describe the integration points. Make sure it is in the right tabular
format, and that you identify your unit of analysis. Identify which of the variables that you might need is missing, and try to come-up with ways to collect those in future
studies. Following this, run exploratory analysis and add some graphs as appropriate and summarize what you can conclude at this point. Please reflect on what you
cannot conclude using only exploratory analysis and explain. Don’t forget to raise problems and anomalies you find in the data (e.g., missing values, outliers, and other
biases).

Question 5(DAT7003)
For this task choose just one or two types of analysis and explain what made you choose this type:
• If you choose to use experimental design: please describe a relevant experiment. Please report and reflect on possible statistical biases. Describe the inferential test you
are using. Specify what assumptions on the data you have made and which tools you have used.
• If you choose not to use an experimental design, please explain why. Try to identify which analysis method can help solve your question. Can your problem be solved
using a supervised or unsupervised learning? Explain your choice in your report: how did this method fit both the question and the available data.
• Summarize the results of the analysis method you have executed using texts, tables and graphs. Explain the results and suggest how these can be applied to help with your business question.
• Critically evaluate your report. Refer to the quality of your data collection tool, data analysis model, your data, and refer to their limitations. What could have helped you in making a more informed report?

Question 6
This question concerns the deployment, ethical and business conclusions of the project:
• Suggest deployment considerations and risks, should your project be deployed in your organisation.
• Propose ethical considerations and risks, should your project be deployed in your organisation.
• Summarize the business conclusions, limitations and suggestions for future analysis.

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