In this Sip and Solve session I provide an overview of data visualization and the process of creating data visualizations, even when your data seems too unwieldy! We cover: - Why visualize your portfolio? - How to prepare your data for more efficient use within visualization software - How to get started building dashboards in Tableau Watch the recording of this talk on our archive page: https://www.experian.com/business-information/landing/sip-and-solve.html

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Sip and Solve
Visualizing Portfolio Data
Featuring:
Emily Garrett
Analytics Consultant
Experian Business Information

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Thinking like an analyst…
02/10/2019 Sip and Solve – Visualizing Portfolio Data

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Pivot tables are a nice start but aren’t always the best
02/10/2019 Sip and Solve – Visualizing Portfolio Data

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Not all visualizations are created equal
02/10/2019 Sip and Solve – Visualizing Portfolio Data
http://interactions.acm.org/archive/view/july-august-2018/the-good-the-bad-and-the-biased
https://blog.socialcops.com/academy/resources/common-mistakes-bad-data-visualization/

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Example: Active businesses in the construction industry
02/10/2019 Sip and Solve – Visualizing Portfolio Data
Key points:
• Visualization makes it easier to
process the many categories of
information
• Filters allow us to scroll through
different dimensions quickly
• Can quickly identify areas for
further analysis and investigation
• Only one dimension shown as a
time vs. cross tab which can
show two

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Dashboards allow us to look at many data dimensions and
metrics simultaneously
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How to get started?
02/10/2019 Sip and Solve – Visualizing Portfolio Data
1. Make a plan about what you want to know and how your final product might look
2. Identify data needed to both measure, filter, and categorize
• State
• Zip Code
• Industry
• Business Risk Bucket
• Consumer Risk Bucket
• Snapshot Date
• Vintage
• Product Type
Categorical
• Bankruptcies
• Inquiries
• Risk Scores
• Derogatory items
• Months in File
• Number of Open Trades
• Balances
• Delinquencies
Measures

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Process continued…
02/10/2019 Sip and Solve – Visualizing Portfolio Data
3. Check all the data types to make sure they are in the correct format
4. Code any buckets or descriptions ahead of time to simplify and standardize
Character type
converted to a
numeric type
Example of coding in the descriptions
ahead of time:

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Process continued…
02/10/2019 Sip and Solve – Visualizing Portfolio Data
5. Summarize as much as possible to reduce the file size while providing adequate
detail
6. Connect to the resulting data table or exported flat file

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Process continued…
02/10/2019 Sip and Solve – Visualizing Portfolio Data
7. Double check variable types! 
8. Start building out tables/graphs/dashboards
In this case, my snapshot date was in
YYYYMM format and was interpreted
as a number. I changed it to a date field
so it would behave as one for my
charts.
Start building individual components:

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Take the time to build the individual components
02/10/2019 Sip and Solve – Visualizing Portfolio Data

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Take the time to build the individual components
02/10/2019 Sip and Solve – Visualizing Portfolio Data

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Take the time to build the individual components
02/10/2019 Sip and Solve – Visualizing Portfolio Data

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And…. Viola!
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Back to the construction example…

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What is happening in Florida’s construction industry?

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And the best part is… it’s repeatable!
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Thank you!
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