Case Study

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Focus on one Bellabeat product and analyze smart device data to gain insight into how consumers are using their smart devices.

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● How can your insights drive business decisions?

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By understanding how consumers utilize their smart devices data analysts can provide their customers with an idea of how to better focus their attention and resources for further improvements on their products.

Key tasks

1. Identify the business task: X

2. Consider key stakeholders: X

Marketing analytics team- Has access to deliver improvements on advertising media (radio/billboards/print/television) and digital marketing which it focuses on more extensively. Invests in year round google searches/ maintains an active Facebook and Instagram page/ Consistently engages with consumers on twitter. Ads run on Youtube and Google.

Deliverable A clear statement of the business task

1. Trends in Smart Device Usage-
2. How could these trends apply to Bellabeat customers-
3. How could these trends help influence Bellabeat marketing strategy?

1. Business Task-
2. Data Sources used-

### Prepare

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● Where is your data stored?

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● How is the data organized? Is it in long or wide format?

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 ● Are there issues with bias or credibility in this data? Does your data ROCCC?

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 ● How are you addressing licensing, privacy, security, and accessibility?

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● How did you verify the data’s integrity?

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● How does it help you answer your question?

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● Are there any problems with the data?

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Key tasks

1. Download data and store it appropriately.

2. Identify how it’s organized.

3. Sort and filter the data.

4. Determine the credibility of the data. Deliverable A description of all data sources use

### Process

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● What tools are you choosing and why?

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 ● Have you ensured your data’s integrity?

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 ● What steps have you taken to ensure that your data is clean?

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● How can you verify that your data is clean and ready to analyze?

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● Have you documented your cleaning process so you can review and share those results?

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Key tasks

1. Check the data for errors.

2. Choose your tools.

3. Transform the data so you can work with it effectively.

4. Document the cleaning process.

Deliverable Documentation of any cleaning or manipulation of data

Follow these steps:

1. Download the dataset. 2. Unzip the files. 3. Create a folder on your desktop or Drive to house the files. Use appropriate file-naming conventions. If you need a refresher on file-naming conventions, you can revisit the “All about file naming” video or the “Organization guidelines” reading. 4. Upload the data to a tool of your choice. For a refresher on some different ways to do this, feel free to reference any of the following resources on how to get started in the following tools from the pdf:

* Importing data from Spreadsheets, Data cleaning features in spreadsheets, even more data cleaning techniques
* Uploading a CSB file in BigQuery, Cleaning string variables using SQL, Advanced data-cleaning functions part 1 and 2
* data import basics, cleaning up with the basics, and transforming data

### Analyze

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● How should you organize your data to perform analysis on it?

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● Has your data been properly formatted?

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 ● What surprises did you discover in the data?

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● What trends or relationships did you find in the data?

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 ● How will these insights help answer your business questions

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Key tasks 1. Aggregate your data so it’s useful and accessible. 2. Organize and format your data. 3. Perform calculations. 4. Identify trends and relationships

Follow these steps for using SQL Here is a sample script that can help you do the following:

> To use the sample script, click this link and select “Use Template.”
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> 1. Import your data.
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> 2. Explore your data, perhaps looking at the total number of rows, distinct values, maximum, minimum, or mean values.
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> 3. Where relevant, use JOIN statements to combine your relevant data into different tables based upon the needs of your analyses.
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> 4. Create summary statistics. 5. Investigate interesting trends and save that information to a table.
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To get started in R Here is a sample starter script that can help you do the following:

> 1. Begin importing your data.
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> 2. Explore your data, gathering some summary statistics
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> 3. Clean and transform your data to prepare for analysis
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> 4. Create some initial exploratory visualizations
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### Share

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● Were you able to answer the business questions?

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● What story does your data tell?

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● How do your findings relate to your original question?

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● Who is your audience? What is the best way to communicate with them?

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● Can data visualization help you share your findings?

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 ● Is your presentation accessible to your audience?

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Key tasks 1. Determine the best way to share your findings. 2. Create effective data visualizations. 3. Present your findings. 4. Ensure your work is accessible. Deliverable Supporting visualizations and key findings

Follow these steps:

> 1. Take out a piece of paper and a pen and sketch some ideas for how you will visualize the data.
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> 2. Once you choose a visual form, open your tool of choice to create your visualization. Use a presentation software, such as PowerPoint or Google Slides; your spreadsheet program; Tableau; or R.
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> 3. Create your data visualization, remembering that contrast should be used to draw your audience’s attention to the most important insights. Use artistic principles including size, color, and shape.
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> 4. Ensure clear meaning through the proper use of common elements, such as headlines, subtitles, and labels.
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> 5. Refine your data visualization by applying deep attention to detail.
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### Act

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● What is your final conclusion based on your analysis?

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● How could your team and business apply your insights?

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● What next steps would you or your stakeholders take based on your findings?

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● Is there additional data you could use to expand on your findings?

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Key tasks ● Create your portfolio. ● Add your case study. ● Practice presenting your case study to a friend or family member. Deliverable Your top high-level insights based on your analysis

Follow these steps:

> 1. If you do not have one already, create an online portfolio. (Use Creating an Interactive Portfolio with Google Sites or Build a Portfolio with Google Sites.)
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> 2. Consider how you want to feature your case study in your portfolio.
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> 3. Upload or link your case study findings to your portfolio.
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> 4. Write a brief paragraph describing the case study, your process, and your discoveries.
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> 5. Add the paragraph to introduce your case study in your portfolio.
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Wrap-up Congratulations on finishing the Bellabeat marketing analysis case study! If you like, complete one of the other case studies to continue growing your portfolio. Or, use the steps from the ask, prepare, process, analyze, share, and act Case Study Roadmap to create a new project all your own. Best of luck on your job search