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Key Takeaway
Most organisations already own a BI platform. Far fewer have dashboards that leadership opens, trusts and acts on. The difference usually isn't the tool. It's how few KPIs you show, how clearly each one explains itself, and whether it connects to a decision.
Almost every finance team has been through this. A dashboard gets built, reviewed and launched. Everyone agrees it looks great. Then, a few weeks later, the leadership team is back to asking for the numbers in a slide deck or an email.
The dashboard didn't fail because the charts were wrong. It failed because it was built to show everything, when leadership needed it to help them decide something.
A dashboard that reports what happened is a record. A dashboard that shows what to do next is a decision tool.
Tooling isn't the bottleneck. One industry compilation, as cited by Planir, puts BI platform ownership at 78% of enterprises but KPI dashboard adoption at only around 20%. Owning the software and using it to run the business are two very different things.
Source: DataStackHub 2025, as cited by Planir. Secondary source, sample size not stated; treat as directional.
A few patterns keep showing up when adoption stalls:
Too Many Metrics on One Screen
When a dashboard carries dozens of KPIs, nothing stands out. Leaders can't tell which number needs attention, so they stop looking and ask someone to summarise it instead.
Numbers Without the "Why"
Seeing that margin dropped two points is useful. Knowing it was a delayed contract and a pricing change is what lets someone act. A figure with no explanation just starts a round of follow-up questions.
Data People Don't Trust
If two reports show two different revenue figures, leaders stop relying on either. Trust is hard to win and very easy to lose, and it all starts with consistent definitions underneath.
A Separate Place to Go
If the dashboard lives apart from where planning and decisions actually happen, it becomes one more thing to check rather than part of the routine.
The most practical change is also the hardest: show less. A common guideline among finance teams is to keep the headline view to roughly five KPIs. The number isn't a law, but the principle holds. If everything is highlighted, nothing is.
A useful way to pick them is to ask which metrics actually drove a decision in the last 90 days, rather than starting from a generic list of best-practice KPIs. Then sit down with leadership and agree on the small set that reflects current priorities. Pair related measures so each is read in context, such as cash runway next to revenue growth, or margin next to volume.
Showing less doesn't mean losing depth. The best reporting gives each audience the level they need and keeps the rest one click away.
A Three-Layer Reporting Model
| Layer | Audience | What It Shows |
|---|---|---|
| Headline | Executives | A handful of KPIs, trend signals and variance to budget, readable in under a minute |
| Context | Managers | The drivers behind the headline numbers, short commentary and prior-period comparisons |
| Deep Dive | Analysts | Detailed tables and segment analysis for investigating what moved and why |
Give Every KPI an Owner
A named person should be responsible for interpreting each metric, explaining it and flagging when action is needed. A number with no owner is a number nobody follows up on.
Put the Explanation Next to the Number
Surface the main drivers of a variance before anyone has to open a file. Automated driver analysis can do the first pass, and finance adds the judgement and strategic context on top.
Connect Reporting to Scenarios
The best follow-up to "what happened" is "what if". When dashboards link to planning models, a question like what happens to runway if revenue drops 15% can be answered without rebuilding anything.
Build It With the People Who Use It
Spend an hour with leadership working out the three questions they need answered every Monday, then refine weekly for the first month. Reporting designed for the audience beats reporting designed at them.
If a chart can't answer the question "which decision does this help me make?", it probably doesn't belong on the screen.
You don't need to rebuild everything. Audit what's currently reported, pick a short list of headline KPIs, assign owners, and agree definitions so the numbers match everywhere. Share the first version early and adjust based on how leadership actually uses it. Reporting that earns trust gets used, and reporting that gets used keeps improving.
Keansa helps finance teams design KPI reporting around decisions rather than data volume: agreeing the metrics that matter, building on trusted and consistent data, and linking reporting to the planning and scenario models behind it, so leadership gets answers they can act on rather than another dashboard to check.
Want reporting your leadership team actually uses?
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