DAT7003 - Data Design - Effectiveness of an Employed Data Collection Tool - Data Analytics Report Writing Assignment Help

Assignment Task:

DAT7003: Data Design Report Writing Assignment Help

For that, we recommend you use the report you have been working on throughout this module as a basis.

Sub-task: Business Understanding

• Business question and objectives:
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 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).

• Organisational knowledge sources:
Describe relevant knowledge artifacts. Describe business rules that should be applied to compute significant business variables.

Sub-task: Data collection and understanding
Automatic and designed data collection:
Please collect two datasets. The datasets should be complementing, i.e., each of the datasets should add its own dimension, related to your business question.
These could be either automatically collected, designed collected or both. 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.

Sub-task: Data integration
• 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.

• Exploratory analysis:
Run exploratory analysis, 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).

Sub-task: Inferential statistics or modelling
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 model, your data, and refer to their limitations. What could have helped you in making a more informed report?

Sub-task: Deployment, Ethics, and Conclusions
• Please suggest deployment considerations and risks, should your project be deployed in your organisation.

• Please suggest ethical considerations and risks, should your project be deployed in your organisation.

• Please summarize the business conclusions, limitations and suggestions for future analysis.

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