Many people think a data professional’s job is to build dashboards.
I disagree.
A dashboard is only valuable if it helps someone make a better decision.
When supporting a CFO, technical skills are essential—data engineering, data modelling, reporting, automation, analytics, and increasingly AI. These capabilities allow us to bring together information from different systems, improve data quality, automate repetitive processes, and present information in a way that is easier to understand.
But technical capability alone is not enough.
To deliver real value, we must understand the business behind the numbers.
A CFO is ultimately focused on three things:
- Profitability
- Cash Flow
- Assets
Almost every operational activity in a business eventually influences one or more of these areas.
- Revenue growth may look positive, but what is happening to gross margin?
- Sales may be increasing, but are customers paying on time?
- Inventory may be growing, but is that stock moving or simply tying up working capital?
A business may be profitable on paper while experiencing pressure on cash flow.
This is where a data professional can add much more value than simply producing a report.
Our role is to connect operational activity to financial outcomes.
- Why is profitability changing?
- Which customers, sites, products, services, or regions are driving the result?
Is a change in margin caused by pricing, labour costs, purchasing costs, customer mix, or operational inefficiency?
- Where is cash being tied up?
- Where are the risks?
- Where are the opportunities?
The most impactful reports do not simply show what happened. They help explain why it happened. And, where possible, they provide enough context to understand what might happen next.
This changes the conversation.
Instead of saying:
“Revenue decreased by 5%.”
We can begin asking:
“Which customers or sites caused the decrease, what changed operationally, and is this likely to continue?”
Instead of reporting:
“Gross margin is below target.”
We can investigate the drivers behind the variance and identify where management attention may be required.
This is the difference between reporting data and supporting decisions.
The best data professionals operate between two worlds: technology and business. They understand how data moves through systems, how metrics are calculated, and how reports are built. But they also understand what those metrics mean to the people running the business.
That combination is where data starts to become genuinely valuable. A dashboard should not be the final outcome.
The final outcome should be a clearer understanding of the business and a better decision.
TAGS
DataAnalytics, BusinessIntelligence, PowerBI, MicrosoftFabric, DataEngineering, CFO, Finance, Leadership, BusinessInsights, DataDriven