The ROI of Modern Analytics

About this webinar

Your data team is underwater. Dashboards, ad-hoc requests, Slack questions, "quick pulls"—the work never stops. And when leadership asks about ROI, what do you say? "We delivered 47 dashboards this quarter"?

Cool. Are we a growth engine or a report factory?

Here's what we've learned from talking to hundreds of data teams: the ones who've figured this out aren't stuck in the service trap—answering every question, drowning the business in dashboards, stuck in a "parent-child" dynamic where the business requests and data delivers. They've shifted to working as strategic peers who challenge, provoke, and actually solve problems.

And the shift starts somewhere surprisingly concrete: operational efficiency. When you can go from 3 days to 3 hours per dashboard, you're not just saving time. You're breaking free from the service trap and creating space for work that actually transforms the business.

In this webinar, we'll look at how to demonstrate and expand your data team's ROI—not through clever metrics, but by making the impact obvious to everyone in the organization.

We'll cover:

1. The service trap and why it kills ROI — how answering every question undermines your value, even when you're working harder than ever
2. From operational efficiency to strategic partnership — how speed improvements unlock the relationship shift that lets data teams become growth engines
3. Making the case for investment — whether you're a data leader pitching for more budget or an exec evaluating your data function, what "good" actually looks like
4. How collaboration changes everything — why tools like Count's collaborative canvas enable both the speed gains and the cultural shift toward proactive, self-serve data use

This applies across your full data team—analytics, engineering, and data science—because the service trap affects everyone.

Who should tune in?

• Data leaders trying to reposition from cost center to growth engine. You'll leave with a framework for demonstrating value that goes beyond "we built X dashboards."
• Executives evaluating data team performance or deciding where to invest. You'll leave understanding what high-impact data teams look like and why the right approach transforms every function in your business.
• Data teams stuck in the service trap who know they should be doing more strategic work but can't find the time. You'll leave with a path out that starts with measurable efficiency gains.