What took us upwards to a month at times, is now whittled down to a mere minute. That's so much time back for us, individually, but as a team, that allows us to be more efficient, to accommodate for the growth of the company."
The problem
Use case 1
When manual data work couldn't keep up with growth
Screenverse manages one of the largest digital screen networks in the physical world—over 120,000 screens across digital billboards, screens in gas stations and EV charging sites, office and residential buildings, restaurants and bars, and 30+ venue types. Their programmatic network delivers billions of impressions, connecting brands to consumers at the moments that matter most.
But behind those billions of impressions was a data team drowning in manual work.
Karen Brand, Senior QA Data Analyst, and Junko Yoshimaru, Director of Data and Tech Ops, were managing 120,000+ screens with 96 columns of data for every individual screen across 20+ media partners. Their biggest media network alone operates 60,000 screens across the United States, Canada, and Puerto Rico.
For Karen, the workload had become unsustainable. "I have to audit their inventory monthly, and it takes me 3 weeks to finish an audit, so by the time I actually finish an audit, I'm about to start a new one."
The team had grown from managing everything in Google Sheets to trying various data validation tools, but nothing could handle their complex workflows and massive data volumes. As Screenverse scaled from 12 to over 45 employees, the data bottleneck was becoming critical.
"We can't just hire one person for every 5 new partners when the company's goal is to expand and onboard new media networks throughout the year." Junko explains.
The solution
Use case 2
AI-powered automation transforms complex data workflows
When Karen discovered Parabola, the team thought they were looking for a simple data validation tool. They found something much more powerful.
"All we wanted was a data validation tool. And within the first week, we were like, oh my god, oh my god, oh my god. Every week, it was something new."
The breakthrough came with Parabola's AI-powered data extraction. One partner sent address data in wildly inconsistent formats—sometimes "street, city, state, zip," other times "zip, state, city, street," and occasionally just emailed addresses instead of physical addresses.
"We like to use the extract with AI step that allows us to automatically identify what looks like a zip code, what looks like a street address. Whereas before, Junko and I would have to text to columns, hope for the best, and then try to manually clean up from there. For 120,000 screens, that takes a long time."
The scale becomes clear in their most complex workflow: transforming data from one row per screen to 168 rows per screen, which for a 20,000-screen media partner creates over 3.1 million rows. "Excel can't open that," Junko notes. "Or if you do, it deletes the data."
Now, Parabola handles what used to be a manual nightmare: automatic lookups that translate location data for different advertising platforms simultaneously, automated auditing workflows with 70+ transformation steps, and error management that filters bad data and sends reports directly to account managers via Slack.
The results
Use case 3
Hours saved, scaling unlocked, and strategic focus restored
The transformation has been dramatic. Screenverse's data team went from reactive manual processing to proactive strategic planning. Instead of spending weeks cleaning data and managing Excel crashes, they focus on insights that drive real business impact.
- Cut audit time from 3 weeks to 12 seconds: Complex partner audits that previously consumed entire months now complete almost instantaneously.
- Eliminated Excel bottlenecks: Processing 3+ million rows of data no longer crashes systems or requires splitting files into dozens of pieces.
- Freed up strategic capacity: Team members can now focus on higher-impact projects instead of manual data cleanup and validation.
- Automated error management: Bad data is automatically identified, filtered out, and reported to account managers without manual intervention.
- Enabled seamless collaboration: Team members can run each other's workflows during PTO through shared Slack integrations, eliminating single points of failure.
- Replaced static reports with interactive dashboards: Sales teams can now drill down into performance metrics themselves rather than waiting for custom analysis.
The efficiency gains have fundamentally changed how the team operates.
"Parabola basically gave us all role responsibility promotions, where we got to do so many cool other things, because we got that time back," Karen reflects.
Most importantly for a rapidly growing company, the solution scales with their business. Instead of hiring additional staff for every new media partner, they can handle growth through automation.
"When we first started Parabola, all we wanted was a data validation tool. Every week, it was something new that now we're doing things on Parabola that we did not know were possible last month."
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This customer story is for informational purposes only. Parabola makes no warranties, express or implied, in this document.
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