Published 18 Jun 2026

What's Next for the Office of the CFO in 2026? Why Finance Is Moving Beyond the Dashboard

Decision IntelligenceJD EdwardsBusiness Intelligence
What's Next for the Office of the CFO in 2026? Why Finance Is Moving Beyond the Dashboard

Every December, the predictions arrive. This year the Gartner 2026 CFO Agenda painted a picture I have watched form over thirty years of sitting across the table from finance teams: a survey of more than 200 CFOs where 56% put enterprise-wide cost optimization in their top five priorities, 51% put improving forecast accuracy there too, and yet only 36% feel confident they can actually drive value from AI.

Read those three numbers together and the tension is obvious. CFOs are under pressure to cut costs and forecast better, the two things that depend most on understanding what is really happening in the business, and they are the least confident about the technology everyone keeps telling them will help.

I have spent my career on both sides of this problem, first running financial reporting inside a finance team, then building the reporting and planning software that finance teams rely on. So I will say this plainly: I don't think that gap is an AI problem. I think it is a leftover from how our industry built finance reporting for the last couple of decades.

Visibility is solved. Action is not.

Spend any time around a modern finance team and one thing is clear: they can see almost everything. The close is faster than it has ever been. Dashboards cover every department. More than 75% of CFOs are now formally responsible for data and analytics across the enterprise, not just the ledger. By any reasonable measure, the visibility problem that defined the last decade has been won.

So why does it still feel slow?

Because seeing a number and knowing what to do about it are two different jobs, and we only ever built tools for the first one. A dashboard tells you revenue dipped in a region. It does not tell you why, it does not tell you which three accounts drove it, and it certainly does not tell you what to do before the next quarter closes. The CFO is left to assemble that story by hand, in meetings, from people, days after the number first appeared.

That is the real shape of finance in 2026. Not a lack of data. A lack of the layer that turns data into a decision.

The "rebuild your foundation" pitch is aimed at the wrong problem

There is a popular message making the rounds, usually from systems integrators: before you can do anything with AI, you have to rebuild your data foundation. Re-platform. Re-warehouse. Re-pipe everything into something new and clean.

For a lot of finance teams, that advice lands as nonsense, and nowhere more than in JD Edwards shops.

I have spent years building reporting software for the office of the CFO, a lot of it alongside JD Edwards finance teams on exactly how they report, and the accuracy of what they already have is not in doubt. If you run finance on JDE, your foundation is not the problem. Your data lives in the ERP. It is reconciled. It is trustworthy. You have likely layered reporting on top of it for years, through tools like Hubble, ReportsNow, or Power BI, and those reports are accurate. The General Ledger is not lying to you. Telling a JDE finance team to rebuild their foundation is like telling someone with a full pantry that the reason dinner is late is that they need a bigger kitchen.

The delay is not in the foundation. It is in everything that happens after the report renders. The distance between a clean GL view and an actual decision is where the days go, and no amount of re-platforming closes it.

The three things a dashboard was never built to answer

When I sit with a finance leader and strip the conversation back, the things they actually need fall into three questions. eyko frame them as Know What, Know Why, Know What Next, and it is a useful way to see the gap.

Know What. This is what BI already does well. The number, the trend, the variance. Finance has this covered.

Know Why. The moment a dashboard surfaces a problem, the next question is "why," and that is where the tooling stops. Finding the why means a human pulling threads across systems, exporting to a spreadsheet, and chasing context that the dashboard could see but was never designed to explain.

Know What Next. Even with the why in hand, someone still has to decide what to do, who owns it, and whether it worked. This is the part that lives entirely in people's heads and follow-up emails today, and it is the part that decides whether the quarter goes well.

Gartner estimates that 3 to 8% of EBITDA is lost every year to hidden inefficiencies, leakage, and missed opportunities. That is not money lost because nobody could see the data. It is lost in the gap between Know What and Know What Next, in the days and weeks between a number appearing and anyone acting on it.

What the next layer actually looks like

The shift I expect to define the Office of the CFO in 2026 is the arrival of a decision layer that sits above the ERP and above the dashboards, rather than replacing either.

For a JDE finance team, that means leaving JD Edwards exactly where it is, leaving the reports they trust exactly where they are, and adding a layer that watches the data the way an experienced controller would: noticing when something moves, explaining why, surfacing the few accounts or transactions that matter, and proposing the next move. Not another place to look. A layer that does the looking, and hands finance a decision instead of a chart.

eyko talk about how BI stops at What, and from where I sit, they are right. Business intelligence was a genuine achievement, and it is finished. It told us what happened, and it does that job well. The next decade of finance is not about seeing more clearly. It is about closing the distance between sight and action, and doing it fast enough that 3 to 8% of EBITDA stops quietly walking out the door.

The CFOs who win in 2026 will not be the ones who rebuilt the most. They will be the ones who stopped waiting on the dashboard.

New to the category? Learn what decision intelligence is and why it changes how teams act on data.

Jon Louvar

Jon Louvar

COO & Co-Founder

18 Jun 2026

Jon Louvar is the COO and co-founder of eyko. He was previously VP of Product Marketing at insightsoftware and, before that, Manager of Financial Reporting at Silgan Containers, building BI and reporting platforms across finance, operations, and supply chain for enterprise organizations. At eyko he leads operations and delivery, translating customer insight into product execution.

Frequently Asked Questions

According to Gartner's 2026 CFO Agenda, the most common priorities are enterprise-wide cost optimization (cited by 56% of more than 200 CFOs surveyed) and improving financial forecast accuracy and quality (51%). At the same time, only 36% of CFOs feel confident in their ability to drive value from AI, which points to a gap between the pressure on finance and the tools available to meet it.

The Office of the CFO is the broader finance function led by the Chief Financial Officer, including FP&A, controllership, treasury, and increasingly data and analytics. More than 75% of CFOs are now responsible for data and analytics across the enterprise, which is why finance leaders are central to decisions about reporting and AI, not just budgeting and the close.

Yes. Business intelligence answers what happened: the numbers, trends, and variances shown on a dashboard. Decision intelligence adds the two layers BI was never built for, why something happened and what to do next, and connects them to ownership and follow-through. The goal is to shorten the time between seeing a number and acting on it.

In most cases, no. JD Edwards data is already structured, reconciled, and trusted, and finance teams have usually layered accurate reporting on top of it for years. The delay in getting from data to decision sits after the report renders, not in the foundation. A decision layer can sit above JDE without re-platforming the ERP or replacing existing reports.

It watches the data continuously, explains why a metric moved, surfaces the specific accounts or transactions that matter, and proposes the next step, rather than leaving finance to assemble that story by hand. This directly addresses the EBITDA Gartner estimates is lost each year (3 to 8%) to inefficiencies and missed opportunities that hide in the gap between visibility and action.

It sits above them. eyko leaves your ERP and your existing dashboards in place and adds the Know Why and Know What Next layer on top, so you keep the systems your team trusts and close the gap between what they show and what you do about it.

Ready to build your first Playbook?

Join the enterprises replacing weeks of manual analysis with a single prompt. See what eyko Playbooks can do with your data.

Explore eyko Beats