Treat Your Finance Data Like a Product

• Finance produces a product: Data. But do you know if your customers (the business) are actually using it?
• Successful CFOs analyze how financial information flows across the organization, not just within their department.
• By treating data as a product, finance ensures its outputs are relevant, timely, and actionable.
• Creating a "Single Source of Truth" is the ultimate product launch for a modern finance team.

If finance is a factory, data is its output. But too often, finance leaders focus solely on the production process—the accuracy of the numbers—without considering the consumer experience. "You didn't treat it as a product and you didn't look across the company and see your internal customers," Caitlin Haberberger warns.

Understanding "how data flows across the entire organization" is now a critical skill for CFOs. It's not enough to produce a perfect P&L if the marketing team can't understand it or the product team can't access it. This "product mindset" forces finance to step out of its "virtual corner" and ask hard questions: How is this information being used? Is it driving the right decisions?

By viewing internal stakeholders as customers, finance teams can design reports, dashboards, and insights that are actually consumed and valued. This shift turns the finance function from a back-office utility into a strategic partner that powers the entire business.

The Missing Curriculum: Data Architecture

When asked what universities should be teaching future CFOs, Caitlin's answer was immediate: Data Flow. "Understanding how data flows across the entire organization, not just within finance and accounting... I think that's really critical." In modern businesses, financial data originates outside of finance—in CRM systems, in engineering Jira tickets, in marketing platforms.

If a CFO doesn't understand the upstream sources of their data, they can't govern it. And if they can't govern it, "Garbage In, Garbage Out" becomes the default state. The future finance leader needs to be part data architect, understanding the integration layers (and potentially simplifying them by removing unnecessary point solutions) to ensure the "Single Source of Truth" is actually true.

Finding the "Nerdy Fun" in Data

Treating data as a product isn't just about utility; it's about satisfaction. Caitlin talks about finding the "nerdy fun" in the job—moments where you aren't just processing transactions, but "unlocking some strategic insight" or "solving a seemingly small problem through some analysis."

When data is clean, accessible, and treated with respect, it becomes a playground for discovery. This is where the joy in finance lives. It's the difference between "rote drudgery"—just getting through the stack of invoices—and having the freedom to look at a piece of data in a different way and find an insight that changes the company's trajectory.