Learn how to make better, faster decisions about content, gain deep insights, and create actionable metrics using visualizations.

2. Data Visualizations Can Help
Making Better Content
• Better, Faster Decisions
• Make data-driven decisions
• Get faster consensus on decisions
•Deep Insights
• Improve discoverability
• Refine the user journey
•Actionable Metrics
• Plan resource allocation
• Proritize content for maintenance

3. When out-of-the-box isn’t enough
Making Data Work for Writers

4. How do I…
Making Better Decisions
• Define the Problem
•Gather Data
•Create a Visualization

5. Defining the Problem
What can we solve? Logo

6. Determine if visualization can help
Defining the Problem
Is it a problem that can be measured?
Is it a problem where you can get data?
What action do you want to take?
Does coffee count as
water? Sadly, no.

7. Gathering Data
Sources and Methods Logo

8. Who
• Who owns or has access to sources of data?
Where
• Where are data sources in your organization?
What
• What kind of data do you need and in what format?
Questions for gathering data
Gathering Data

9. Data Sources
Gathering Data
How
• Do you access the data?
• Does it need processing?
• Can you automate gathering and processing it?

10. Creating A Visualization
It’s about the decision, not the data Logo

11. Finding the Right Visualization
Match the visualization to the question
The same data reveals different insights in different graphs.
Treemap Information Topology

12. Tools for visualization
Selecting a Tool
Free Paid
Tool
Code
• Tableau Public
• Network Graphs: Gephi, NodeXL,
Pajek
• Streamlit
• Jupyter Notebook or Jupyter Lab
• Voila
• Network Graphs: Cytoscape, Pyviz
• Tableau
• Network Graphs: Ucinet
• Snowflake
• Plotly Dash

13. Demo – 1
Coding a visualization

14. Demo– 2
Content Improvement

15. Demo – 3
Information Topology

16. Using Patterns for Insights
Network Topology Patterns
Star
Relationship to source
Ring
Connected relationship
Mesh
Asymmetric relationship
Tree
Hierarchical relationship
Fully Connected
Interconnected
relationship
Line
Process or equivalent
relationship

17. Recognizing patterns in content
Best Practices and Emergent Patterns in Data
Key content reused by many topics Best practice topic linking Hierarchical tasks

18. Try the App Fork the Repo

19. Q&A

21. Method to the Madness
Planning and Process
Plan Prototype Share
Get Buy-In
Plan Project
● Define Problem
● Investigate Tools
● Recruit Expertise
● Create Visualization
● Share and Educate
● Use for Analysis
● Act on Insights

22. Create a 250 record csv with the columns: Visit ID, Username, Full Name, Content Id, Content
Title, Content Type, Source, Space Key, Space Name, Visit Date, UNIX Date.
Visit ID is eight digits and unique. Content Id is nine digits and unique. Content Type is PAGE
or BLOGPOST. Source is desktop or mobile. The Space Key is a short version of the Space
Name in capital letters.
This creates data that looks like this:
You can generate sample data in ChatGPT with a prompt similar to the following:
Sample Data
12345678,johnsmith,John Smith,123456789,Getting Started with
Confluence,PAGE,desktop,GSC,Getting Started Confluence,2022-01-01,1641024000

23. Salesforce Corporate Template
Q For comments or questions related
to this document please click here
This template maintained
by Corporate Messaging
Key content reused by many
topics
Best practice topic linking Content with a lot of linking or
reuse.