📊 Have you ever felt like you had all the data… but no clear answers?
If you’ve ever opened a dashboard full of numbers and didn’t know where to start, you’re not alone.
SMEs today collect more data than ever. But where does the signal end and the noise begin?
First distinction: data, information, decision
A data point is just a raw number. Information emerges when you connect multiple data points. But real BI only begins when that information leads to a concrete decision.
And here’s the catch! Many companies generate reports—very few actually use them to act.
Noise has a thousand forms (and it’s very expensive)
📌 Duplicate data with different logic
📌 KPIs tracked out of habit but disconnected from business goals
📌 Indicators that are too detailed, confusing more than helping
📌 Misaligned sources that don’t communicate
According to Forrester, 73% of business data is never analyzed. But analyzing everything is also a mistake—what’s not useful is just noise.
And it’s not just a technical issue. As Kahneman said, noise is insidious: it undermines consistency and leads to variable, slow, or wrong decisions.
Want an example?
A logistics company sees in its reports that vehicle saturation looks good. But no one cross-checks that with profitability per route. The result? The fullest routes turn out to be the least profitable.
The data is there—but without context, it’s just noise.
How do you distinguish what’s useful and what’s not?
Don’t start with the data—start with the questions:
- What decision do we want to support?
- What action can this indicator trigger?
- Is it still relevant to how we operate today?
If a KPI doesn’t generate a choice, it’s not a KPI.
Also watch out for vanity metrics that make you look in control but add no value. A thousand registered users? More important is knowing how many reorder after the first purchase.
And remember—not all indicators are equal.
There are descriptive (what happened), diagnostic (why it happened), predictive (what will happen), and prescriptive (what should we do) metrics.
The most valuable? The last two. Always.
The role of BI is not to show everything, but to filter better
Good BI isn’t about drowning you in numbers. It’s about helping you answer a question in three clicks.
To do that, you need:
- KPIs selected based on roles
- Visual summaries that don’t force endless zooming
- Alerts that flag only real deviations
- Automatic filters to hide what doesn’t matter
B-AI Semplice dashboards are built from real-world use cases already tested in the field. They filter out noise, highlight only what counts, and speak the language of SMEs..
In short?
You don’t need more BI. You need less noise and more clarity.
Because in a world full of numbers, the real advantage belongs to those who know where to look.