From Concept to Visualization with Actionable Data

Anyone can make a pretty bar graph, but can you make sound decisions based on what your development staff currently provides? How do you turn a flashy concept into an actionable visualization? Can you see the end result? Will your ideas become reality? Do you have the vision and drive to figure out how to get from today to tomorrow before it becomes yesterday?

American mathematician John Tukey once said, "The greatest value of a picture is when it forces us to notice what we never expected to see." What value do you see in your data? And what ideas do you have when you see it? Learn how you can capitalize on your ideas and turn them into reality by blending the internal with the external, leveraging them into a cohesive strategy for both the short term AND the long term. See the five "Stages of the Spectrum" in action while discovering the difference between impact and influence, and how that plays into making data actionable.


Outline/Structure of the Talk

To elaborate on the above "promotional teaser" description, this is a high-level outline that forms the framework of my presentation: The Five Stages of the Spectrum (along the way from concept to reality) are...
1. Conception (Start the RACE) - key word: Articulate
2. Inception (Make the CASE) - key word: Advocate
3. Perception (Motivate the BASE) - key word: Educate
4. Inspection (Give it some SPACE) - key word: Investigate
5. Direction (Put it in PLACE) - key word: Effectuate

Learning Outcome

The participant will...

  • understand and recognize the five stages of visualization spectrum
  • learn how to leverage these steps into a cohesive visualization strategy
  • discover the difference between impact/influence and how that plays into making data actionable
  • ascertain how the four-step iterative implementation cycle works: Deploy --> Discover --> Discern --> Develop

Target Audience

Professionals who wish to ensure the graphs and data visualizations they create are actionable. Decision makers who desire to know the best practices to ensure their data helps make a decision, answer a question, or solve a problem.

Prerequisites for Attendees

They should be prepared to understand the importance of actionable data.

schedule Submitted 7 months ago

Public Feedback

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  • Pallavi ...
    By Pallavi ...  ~  5 months ago
    reply Reply

    Hello Joe

    That looks like a good topic. Please let me know how do you think it would help the audience attending testing conference aimed at test automation solution from open source technologies.


    • Joe Perez
      By Joe Perez  ~  4 months ago
      reply Reply

      Hi Pallavi; I am so sorry I missed your comment, as my email erroneously identified it as spam. I hope I am not too late to answer your questions.  I believe people who are designing testing solutions and interested in knowing what to do with the mountains of data collected should be familiar with the foundational principles behind data visualization and data storytelling.  They cannot excel without the proper foundation being laid.

      According to a recent report in CIO magazine, healthcare data volumes are growing at a 49% annual rate, nearly doubling every two years.  With such huge mountains of data, there’s no way the typical prior-generation reporting means (like spreadsheets, tabular reports, and the like) can keep up.  Again, a paradigm shift is needed because the focus used to be so heavily centered on data production, whereas now it’s on data consumption and putting it in context so it can be made actionable.  And data is NOT actionable unless it can help the key strategists to make a decision, answer a question, or solve a problem.  So, making the case for this group might not be as daunting, because if they have any inkling of the elephant in the room (i.e., the data), they can be convinced of the need to capitalize on what they have, resulting in a unified, comprehensive strategy for tapping into it and reporting on it in a visually compelling manner.  Now that is where the biggest payoff comes: for you have then made a connection with decision-makers.  That’s when the light-bulb comes on, and that’s where the magic happens!

      • Pallavi ...
        By Pallavi ...  ~  4 months ago
        reply Reply

        Thats alright Joe, happens to everyone, thanks for the detailed revert. 

    • Pooja Shah
      By Pooja Shah  ~  5 months ago
      reply Reply

      Hi Joe, adding to Pallavi's thoughts,  highly recommend if you could add the actionable usefulness in your outline that can help us and the attendees understand in terms of "go apply in testing/work" more intuitive way. 

      And how do you plan to make it interactive to grab the most of the talk. An exercise or demonstration or any. The sooner we get to hear from you, the better and every bit of information helps. Kindly please keep a tab on the timeline


      • Joe Perez
        By Joe Perez  ~  4 months ago
        reply Reply

        Hello, Pooja; I will tell you the same thing I told Pallavi in my response to her comment: I apologize profusely for having taken so long to respond, but my stupid email erroneously identified the notification as spam, so I am just now seeing this  I sincerely hope my answers are not too late.

        To answer your questions, first of all, I intend to make each of the five points applicable by providing relevant examples to illustrate each point.  Secondly, to involve the audience interactively, as I go through the presentation, I quiz the audience on each of the five major points, along with some of the more important sub-points.  I have several graphs and illustrations on which I ask them questions to identify issues, then I bring the application home.

        It was an honor for me to have presented a similar topic as the opening keynote at another conference in January 2020; it was certainly a responsibility that I dd not take lightly, as I had to set the tone for the entire week.  My goal for this conference (even though I'm not a keynote) is to leverage more than 30 years of my educational, IT, and HHS experience to communicate with passion, igniting my audience’s desire for excellence in data storytelling. I always look for a “lightbulb moment” – in the same way that the BI specialist needs to make the case for presenting data visually, so also I intend to make the case to get folks not only to see the value of the data, but take ownership when they’re shown just how valuable they themselves are to the success of their organization in the software testing space.  They need to see what’s in it for them and that they’ve got some skin in this game; they need to see the practical benefits and results of following the best practices I’ll be sharing. 

        Regardless of the specific tools that might be used to achieve the BI/analytics strategic goals in your data storytelling (whether it's Selenium or not), the important thing is to focus on best practices and foundational principles.  For instance: If you’ve never learned how to parallel park, who cares if somebody buys you either a Lamborghini or a Chevy?  The tool in your hand is meaningless if you don’t have an understanding of the underlying skillset required to use it correctly.

        To summarize, I intend to make this exciting so people will catch the wave!  More than anything, my goal is to see to it that my listeners are enhanced, encouraged, enriched, and educated!