Roadmap For Data Analysis Process
Roadmap
For Data Analysis Process
This
roadmap provides a guide for every stage of the analysis process so you can
create a strong final product. Select the stage you are currently working on
for details on questions and key tasks that will guide you through the case
study.
Guiding questions
What topic are you exploring?
What is the problem you are trying to solve?
What metrics will you use to measure your data to achieve your objective? Who are the stakeholders?
Who is your audience for this analysis and how does this affect your analysis process and presentation?
How will this data help your stakeholders make decisions?
Key tasks
It’s important to understand the problem and any questions about your case study early on so that you’re focused on your stakeholders’ needs.
Choose a case study
Identify the problem
Determine key stakeholders
Explore the data and establish metrics
Guiding questions
Where is your data located?
How is the data organized?
Are there issues with bias or credibility in this data? Does your data ROCCC?
How are you addressing licensing, privacy, security, and accessibility?
How did you verify the data’s integrity?
How does it help you answer your question?
Are there any problems with the data?
Key tasks
The prepare phase ensures that you have all of the data you need for your analysis and that you have credible, useful data.
Collect data and store it appropriately
Identify how it’s organized
Sort and filter the data
Determine the credibility of the data
Guiding questions
What tools are you choosing and why?
Have you ensured your data’s integrity?
What steps have you taken to ensure that your data is clean?
How can you verify that your data is clean and ready to analyze?
Have you documented your cleaning process so you can review and share those results?
Key tasks
Now that you know your data is credible and relevant to your problem, you’ll need to clean it so that your analysis will be error-free.
Check the data for errors
Transform the data into the right type
Document the cleaning process
Choose your tools
Guiding questions
How should you organize your data to perform analysis on it?
Has your data been properly formatted?
What surprises did you discover in the data?
What trends or relationships have you found in the data?
How do these insights answer your question or solve the problem?
Key tasks
Now you’ll really put your data to work to uncover new insights and discover potential solutions to your problem!
Aggregate your data so it’s useful and accessible
Organize and format your data
Perform calculations
Identify trends and relationships
Guiding questions
What story does your data tell?
How do your findings relate to your original question?
Who is your audience? What is the best way to communicate with them?
Can data visualization help you share your findings?
Is your presentation accessible to your audience?
Key tasks
During the share phase, you’ll tell a story using data and communicate your findings.
Determine the best way to share your findings
Create effective data visualizations
Present your findings
Ensure your work is accessible to your audience
Guiding questions
What is your final conclusion based on your analysis?
How can you apply your insights?
Are there any next steps you or your stakeholders can take based on your findings?
Is there additional data you could use to expand on your findings?
How can you feature your case study in your portfolio?
Key tasks
After this, your case study will be complete. But you can use these steps again to help guide you through your analysis process.
Share next steps with your stakeholders
Determine if more data could give you new insights
Upload to your portfolio
Reference
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