At a recent FP&A dinner with leaders from Intuit, Roku, ThoughtSpot, and longtime CFO operators, a single comment shifted the entire conversation. John Clark from Intuit said:
“More data isn’t better. It has to be accurate, insightful, timely — and actionable.”
The table went quiet for a moment, because everyone knew he was naming the problem that’s been growing inside FP&A for years. For as long as finance teams have existed, sophistication was measured by volume: more data sources, bigger spreadsheets, more tabs, more dashboards, more models. But today, FP&A teams aren’t short on data—they’re drowning in it. What they lack is clarity.
Finance now touches every system in the organization: ERP, CRM, HRIS, billing, usage, supply chain, product analytics, marketing attribution, and even machine learning–generated demand signals. On paper this gives teams unprecedented visibility. In practice it gives them conflicting truths, slow processes, constant reconciliation, and a never-ending cycle of cleaning and mapping.
Instead of enabling insight, more data has quietly broken FP&A.
Teams spend hours stitching together extracts, wrestling with CSVs, building brittle offline models, and chasing down definitions as simple as “What counts as ARR?” or “Is this headcount or FTE?” Dashboards multiply, but few actually tell you what matters. Forecasts lag behind the business because the inputs can’t keep up. And the people closest to the numbers spend more time preparing data than interpreting it. This is the opposite of what CFOs need.
Finance isn’t paid to assemble numbers. Finance is paid to move the business.
The leaders at the table agreed that the shift happening inside FP&A isn’t from low data → high data. It’s from data volume → data precision. The teams performing at the highest level today focus less on collecting everything and more on elevating what matters.
- They prioritize accuracy because trust is their currency
- They prioritize insight because dashboards without context are noise
- They prioritize timeliness because a forecast that trails reality is useless
- They prioritize actionability because insight that can’t influence behavior has no operational value
But wanting the above and achieving it are two different things.
FP&A teams struggle not because they lack talent, but because their tools were built for a different era. Spreadsheets weren’t designed for multi-dimensional modeling at scale. ERPs weren’t designed for scenario agility. BI tools were designed for reporting the past, not modeling the future. Even modern FP&A platforms often force teams to sacrifice speed for structure or flexibility for governance. The result: a patchwork workflow where insights are “duct-taped together,” as one leader put it.
And yet the mandate for FP&A has never been higher. Leaders now expect finance teams to react faster, explain performance more clearly, forecast more frequently, run scenarios on demand, and influence decisions in real time. The moments that matter today happen quickly—adjusting hiring, reallocating spend, shifting pricing strategy, responding to market signals—and FP&A needs to be able to answer “What does this mean?” and “What should we do?” without spending days reconciling three systems and five spreadsheets.
Precision requires the right environment, not more effort.
This is where firms like Qbit come in—not to replace the expertise of FP&A, but to give teams the operating conditions they need to function at the level these leaders described. Many teams that come to Qbit aren’t looking for a tool. They’re looking for relief from the manual complexity that keeps them from being strategic.
Jedox fits this need in a way that feels natural rather than forced. It doesn’t require teams to abandon Excel entirely; it governs it. It unifies planning, reporting, and analytics so FP&A isn’t stitching together half a dozen systems. It brings in real-time data through a built-in ETL engine instead of relying on exports and workarounds. It preserves modeling flexibility while giving teams a single source of truth. And most importantly, it gives FP&A more time back—time for learning, insight, partnership, and decision-making.
For modern finance teams, the value isn’t in collecting more data. It’s in elevating the right data at the right moment.
Less reconciling, more interpreting
Less noise, more signal
Less volume, more value
Exactly the shift leaders like John Clark were pointing to.
And exactly what the next generation of FP&A teams will need in order to lead.
