The biggest data visualization mistake

Summary

MarTech Podcast ™ // Marketing + Technology = Business Growth

Episode: The Biggest Data Visualization Mistake
Date: September 23, 2025
Host: Benjamin Shapiro
Guest: Steven Roach, VP of Ecosystems and AI, Qualified Digital

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Overview

In this episode, host Benjamin Shapiro sits down with Steven Roach of Qualified Digital to unpack “the biggest data visualization mistake” that affects executive decision-making at Fortune 500 companies. They delve into the challenges of communicating data insights effectively, the pitfalls of overcomplicating dashboards, and the changing landscape of report-building with the advent of AI.

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Key Discussion Points & Insights

1. Data Visualization Pitfalls in Fortune 500 Companies

(01:15 – 01:39)

• Steven Roach identifies the chief mistake: “Burying the business impact metrics in a sea of charts and not really reviewing or getting to the impact insights.”
• He observes that executives seek straightforward, actionable summaries: “My executives only want what is impacting their business in plain text. Numbers are up, numbers are down. Here’s the correlations to why. Those are the most important things.” (01:39)
• The allure of complex, beautiful charts often overshadows the need for clarity: “We often bury that [impact] into fancy charts which are really beautiful. I’ve created a ton of them. But we need to get to the impact of why that is. What’s the correlation? Why is that correlation there?” (01:39)

2. The Need for Integration of AI in Data Tools

(01:39 – 02:31)

• Roach highlights the emerging necessity of AI integration for extracting actionable insights:
  “Integrating AI components in those tools in the future is going to be a massive thing... We need to make sure AI inputs or components are actually within these tools to get to the deeper details that our executives may be looking for.” (01:39)
• He predicts industry-wide consolidation and a drive for smarter platforms: “I wouldn’t be surprised if there’s a consolidation of platforms in the next five years... because there is a lack of input, lack of AI integration, and things like that.” (01:39)

3. Shifts in Reporting & Data Consumption

(03:03 – 03:48)

• Benjamin Shapiro reflects on how accessible reporting tools have led to “data bloat” and less critical thinking about key metrics:
  • “It used to be so hard to build these customized reports that you really had to know the number you wanted to look at... Now it’s easy. And we’re drowning in this sort of fog, this sea of data bloat, and we essentially lost a little dog fighting skills to understand what metrics really matter.” (03:03)

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Notable Quotes

• Steven Roach (01:39):

  “Burying the business impact metrics in a sea of charts and not really reviewing or getting to the impact insights.”

• Steven Roach (01:39):

  “My executives only want what is impacting their business in plain text. Numbers are up, numbers are down. Here’s the correlations to why. Those are the most important things.”

• Steven Roach (01:39):

  “Integrating AI components in those tools in the future is going to be a massive thing. You know, I wouldn’t be surprised if there’s a consolidation of platforms in the next five years...”

• Benjamin Shapiro (03:03):

  “We’re drowning in this sort of fog, this sea of data bloat, and we essentially lost a little dog fighting skills to understand what metrics really matter.”

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Key Moments & Timestamps

• 01:15 – Introduction of Steven Roach and the central question about data visualization mistakes
• 01:39 – Roach details the main mistake: burying actionable metrics; the executive preference for plain-language impact
• 02:00 – Importance of correlation and actionable insights over aesthetic dashboards
• 02:30 – Growing role and necessity for AI-powered data visualization tools
• 03:03 – Shapiro’s observation on “data bloat” and lowered threshold for insightful data
• 03:48 – Episode conclusion and closing thoughts

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Summary Takeaway

Executive stakeholders don’t want to sift through overly complex dashboards—they want clear, succinct, and insightful summaries that tell them precisely how metrics impact the business. The proliferation of easy-to-make reports has made it harder, not easier, to surface what matters. The future points toward AI-driven consolidation and smarter platforms that will help cut through the data fog and put decisions back in focus.

Transcript

[Podcast Announcer]

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[Steven Roach]

From advertising to software as a service to data, across all of our programs and clients, we've seen a 55 to 65% open rate.

[Benjamin Shapiro]

Getting brands authentically integrated into content performs better than TV advertising. Typical lifespan of an article is about.

[Steven Roach]

24 to 36 hours. We're reaching out to the right person with the right message and a clear call to action. Then it's just a matter of timing.

[Podcast Announcer]

Welcome to the Martech Podcast, a member of the I Hear Everything Podcast network. In this podcast you'll hear the stories of world class marketers that used technology to drive business results and achieve career success. Here's a host of the Martech Podcast, Benjamin Shapiro.

[Benjamin Shapiro]

I'm Benjamin Shapiro and joining me today is Steven Roach, the VP of ecosystems and AI at Qualified Digital, which helps Fortune 500 brands transform customer experiences through data driven solutions. And today Steven will reveal exactly when human oversight is non negotiable in your AI stack. What's the biggest data visualization mistake you see Fortune 500 brands making that kills.

[Steven Roach]

Executive buy in bearing the business impact metrics in a sea of charts and not really reviewing or getting to the impact insights. There's been often a lot of times where tableau has an issue with getting what our executives are actually looking at into plain text. My executives only want what is impacting their business in plain text. Numbers are up, numbers are down. Here's the correlations to why those are the most important things. So we often bury that into fancy charts which are really beautiful. I've created a ton of them. But we need to get to the impact of why that is. What's the correlation? Why is that correlation there? Like let's, let's really get to the weeds of it and I think integrating AI components in those tools in the future is going to be a massive thing. You know, I wouldn't be surprised if there's a consolidation of platforms in the next five years. You know, because there are lack of input, lack of AI integration and things like that. We, we need to make sure AI inputs or components are actually within these tools to get to the deeper details that our executives may be looking for.

[Benjamin Shapiro]

It used to be so hard to build these customized reports that you really had to know the number you wanted to look at right I want to track this metric over time and a rolling 12 month whatever it was, right? We had to be so sophisticated in our thinking to isolate this one number because it was hard to build the report. Now it's easy. And we were drowning in this sort of fog, this sea of data bloat, and we essentially lost a little dog fighting skills to understand what metrics really matter. All right, that wraps up this episode of the Martech Podcast, thanks to Steven Roach, VP of Data Ecosystems at Qualified Digital. If you'd like to get in touch with Stephen, you could find a link to his LinkedIn profile in our show notes or on martechpod. Or you can visit his company's website, which is Qualified digital dot com. If you haven't subscribed yet and you want a daily stream of marketing and technology knowledge in your podcast feed, hit the subscribe button in your podcast app or Visit us on YouTube and we'll be back in your feed next week. All right, that's it for today, but until next time, my advice is to just focus on keeping your customers happy. Foreign.

[Podcast Announcer]

Thanks for listening to the Martech podcast and I hear everything. Production Looking to launch or scale a podcast like this one for your brand? Then visit iheareverything.com.