Data reliability & architecture assessments for growing startups
Stop making growth decisions on broken data
For founders and managers at 20-100 employee startups who can’t trust their own numbers
You’re in a board meeting. Marketing reports 2,847 new customers. Sales claims 3,156. Finance shows 2,923. Which number are you using to plan next quarter’s hiring?
If this sounds familiar, you’re not alone. Most growing startups hit a point where their initial data setup becomes their biggest growth constraint.
The hidden cost: Bad data doesn’t just create awkward moments – they leads to missed forecasts, delayed decisions, and lost confidence in your growth strategy.
Two focused solutions for the most common data crises
Choose the package that matches your current problem
Package 1: Get your core metrics aligned
You’re making hiring, pricing, and growth calls without knowing which numbers are real.
What changes after:
- No more conflicting numbers in leadership meetings
- Faster decisions based on metrics you actually trust
- Clear process to prevent future inconsistencies
- One ranked action list you can execute without us
What we actually do: Pinpoint the main sources of data conflicts across your key systems and give you a priority fix-list
Fixed scope: Your top 5-8 business metrics only. No rebuilds, no long-term commitment.
Investment: 6000 EUR | 2-3 weeks | Most clients recover this by avoiding one bad decision
Includes standardised metric definitions for companies under 50 employees
Package 2: Future-proof your data infrastructure
Your systems are slowing down your team and forcing you to miss growth targets because reports take forever and integrations keep breaking.
What changes after:
- 12-month roadmap to scale your data architecture
- Clear understanding of what will break next (and when)
- Tool recommendations that actually integrate properly
- Engineering team stops firefighting data issues
What we actually do: We conduct a comprehensive review of your data infrastructure, pinpoint existing and potential bottlenecks, analyse the costs, suggest savings and provide a clear, phased plan with recommendations to future-proof your systems as you scale.
Fixed scope: Assessment and roadmap only. No rebuilds, no long-term commitment.
Investment: 8000 EUR | 3-4 weeks | Often leads to substantial savings on infrastructure or cloud costs
Why startups choose us
We don’t build data platforms. We remove decision friction.
Every engagement ends with a ranked action list you can execute without us. Plain-spoken, practical, and focused on outcomes that matter this quarter.
- Immediate impact: Actionable fixes within weeks, not months
- Startup-focused: We understand the constraints of growing companies
- Fixed scope: No scope creep, no hidden expansion, no surprises
Cost of waiting: Bad architecture decisions compound quickly – what costs 8 kEUR to prevent may cost 40+ kEUR to fix later; not to mention the increased infrastructure costs which accumulate over time.
Ready to trust your data again?
Book a free 30-minute discovery call to identify your biggest data reliability risks
No commitment required.
We’ll diagnose your situation and recommend next steps.
Common questions
How quickly can you start?
Most audits begin within 1-2 weeks of booking. We keep capacity reserved for urgent situations.
Why wouldn’t we just hire someone?
A senior data hire costs 80 kEUR+ annually and takes 3-6 months to ramp up. We solve your immediate problem in weeks, then you can decide if you need a full-time person.
What if our data is too messy?
That’s exactly why you need us. We’ve seen everything from spreadsheet-based “databases” to completely undocumented legacy systems.
What happens if everything is broken?
We prioritise fixes by business impact. You’ll get a clear roadmap of what to tackle first, what can wait, and what you can safely ignore.
How can we justify this investment when we don’t have a dedicated data team yet?
Many startups don’t have a dedicated data team, and that’s exactly why our service is valuable. We provide you with the expert insights and a roadmap. Then you decide how to execute – you may want to hire or you can ask us for support.
We know there are data issues and our data team is working on them – why do we need external help?
Your team probably knows exactly what’s wrong, but when you’re firefighting daily, it’s tough to step back and prioritise properly. We help you figure out which problems actually matter versus the ones that just feel urgent. Most clients tell us their team was relieved to finally have a clear action plan instead of an endless to-do list.