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How Finance Can Count

Get finance teams working and collaborating with data, not just numbers

Scheduled for:
How Finance Can Count

About this webinar

About this webinar

"What is this SQL-thing? I can't program." "Excel works fine for us." "We don't have time to learn another tool—we're closing the quarter."

If you've tried to get finance teams using modern data tools, you've heard these objections. And they're not wrong—finance teams have built their workflows around tools they trust, with lots of manual checking and re-checking because reliability matters more than anything.

But here's what's also true: those manual processes don't scale. They can't connect finance data to the operational metrics driving it. And they keep finance isolated when the rest of the business desperately needs to understand the financial side of what they're doing.

Nonsense! Let's tackle this today. Finance is a data problem, and it can be solved like one—without asking your FP&A team to learn SQL or abandon the reliability they need.

In this short webinar we'll look at:

  1. Common objections and how to address them — why "I can't program" doesn't have to be a blocker, and how to preserve the trust and reliability finance requires
  2. Quick wins that matter to finance — budget vs actuals tracking, scenario modeling, variance analysis, and connecting finance to operational data (the use cases that actually change minds)
  3. How data teams can help — building governed semantic layers for finance metrics that both finance teams can use confidently and other teams can access responsibly
  4. What data teams need to understand about finance — the perspectives and challenges that make finance different from product or marketing analytics

We'll show how Count's no-code functionality and collaborative canvas let finance teams work the way they need to, while giving data teams the tools to support and collaborate properly.

Who should tune in?

  • Finance and ops teams curious about modern data tools but skeptical about leaving Excel behind. You'll leave with a practical first step that doesn't ask you to abandon what works.
  • Data teams who want to support finance but don't know where to start or keep hitting resistance. You'll leave understanding finance's perspective and how to help them get value quickly.