Decisions based on numbers, not the loudest opinion in the room.
We build the dashboards, forecasts, and decision-support systems that turn last month's Excel and gut feel into real-time visibility, at the level of the executive team, the department head, and the operator.
For CEOs, founders, and leadership teams making strategic decisions without clear data.
You probably know this situation
You sit in a Monday meeting and someone says “I think Q2 was strong.” Someone else says “I think margins are slipping in product line X.” Neither of them is wrong, exactly. Neither is right either. Nobody knows. Decisions get made anyway (budgets allocated, prices changed, people hired), all on numbers that are three weeks old, in three different spreadsheets, calculated three slightly different ways.
The data exists, scattered across your CRM, ERP, accounting system, marketing tools, and spreadsheets. It's just nowhere visible, comparable, or trusted.
You don't have a data problem. You have a clarity problem.
Four systems that give you clarity.
Executive dashboards
The five to ten metrics your leadership team should look at every week. Updated automatically, calculated consistently, with drilldowns when something looks off.
Forecasting models
Demand, capacity, revenue, cash. Not just trend lines, but models that learn from your patterns and tell you what's likely to happen in the next 30, 60, 90 days.
Anomaly detection
Automated alerts when something deviates from normal: a customer's order pattern changes, a product margin drops, a process slows down. You see problems while they're small.
Decision-support tools
Custom systems for the decisions you make often and that matter a lot: pricing, capital allocation, hiring, market entry. The system shows you the scenarios and the math; you make the call.
What it actually takes
Most engagements move from first conversation to a live dashboard in under two months.
Discovery
1–2 weeksWe sit with leadership to understand what decisions you make, what data you wish you had, and where the data actually lives.
Assessment
1–2 weeksWe map your data sources, identify the quick wins versus the long-term builds, and propose a roadmap.
First dashboard
3–5 weeksWe build the highest-value dashboard first, integrated with your real data, used in real meetings. You'll see whether it's useful within a month.
Expansion
OngoingNew dashboards, new metrics, new forecasting models, added as the picture gets clearer about what you actually need.
Typical team on our side: 1 lead consultant, 1–2 engineers, occasional specialist support. On your side: a sponsor at leadership level and a data owner in finance or operations.
After a successful engagement
Your Monday meeting changes. Instead of “I think,” you hear “the dashboard shows.” Instead of guesses about margins, you have margin trends by product, customer, and channel.
“I think Q2 was strong”
→ The dashboard shows Q2 revenue was up 14%, margin was flat.
Debating whether to hire
→ The capacity utilization curve tells you when.
Gut-feel pricing decisions
→ Scenario models with the math already done.
B2B services · 90 people · Hungary
Case study
Making capacity decisions (when to hire, which contracts to take) based on the CEO's mental model. Some hires worked, some didn't, and the team felt the inconsistency.
| Solution | Utilization forecasting model integrated with CRM (pipeline) and project tracking (delivery) |
| Horizon | 3-month forward view on demand and delivery capacity |
next hires came earlier than they otherwise would have
a contract funded itself that the team now had capacity to take on
Common questions
We don't have clean data. Can you still help?
Yes, and this is the most common situation. We start by assessing what you have, then prioritize: some useful dashboards can run on messy data if you know where to look. Where data quality is blocking decisions, we address that first.
How long before we see something useful?
Most engagements have a first working dashboard within 4–6 weeks of kickoff. It won't cover everything, but it will be real data, used in real meetings.
Do we need a dedicated internal data team?
No. You need one person who knows where your data lives and can give us access, usually someone in finance or operations. That's it for the first phase.
What tools do you build in?
We work with whatever you already use: Excel/Google Sheets for simple builds, Power BI or Looker for interactive dashboards, custom Python models for forecasting. We choose the tool that fits, not the one we prefer.
What does it cost?
Discovery and assessment are fixed-price (typically in the range of 3,000–6,000 EUR depending on complexity). The first dashboard and ongoing work are quoted separately once we know the scope.
Tell us what you're deciding blind.
We'll tell you what would actually be possible with the data you already have, and how long it would take to put it in front of you. No deck. Straight answer in 30 minutes.
Book a discovery call