Data · AI · Fractional Leadership
We build data organizations
that produce revenue.
Strategy, AI, and analytics consulting for B2B companies that are done treating data as overhead. Hire us for a project. Or put us on retainer as your fractional Head of Data.
Start a ConversationCapabilities
Six ways we make your data
earn its keep.
We don't build dashboards nobody checks. Every engagement ties to a number your CFO actually tracks. Take it as a project, or take it as a fractional retainer: same six capabilities, same senior person, either way.
Data Strategy & Architecture
We've walked into companies running 14 dashboards that all disagree on revenue. The fix isn't more tools. It's getting architecture, governance, and data model right first. Then a roadmap your team can actually execute, not one that collects dust in Confluence.
AI & Machine Learning
Churn prediction, recommendation engines, customer scoring. The models we build ship to production, not to a slide deck. And the hardest part is usually the data engineering, not the modeling. Most teams learn that the expensive way.
Revenue Analytics
A/B testing frameworks, pricing experiments, monetization analysis. One client had $2M in pricing upside sitting in their data for two years. Nobody had looked.
Customer Intelligence
We profiled 500+ accounts for a SaaS client and found that 73% of churned customers had declining engagement 90 days before cancellation. The warning was there a full quarter early. We build retention on signals like that instead of gut feel.
Data Product Development
You know your domain. We know how to turn that knowledge into a product that ships. Internal tools, customer-facing AI features, standalone SaaS products. One client turned three years of support ticket data into a product feature their competitors still don't have.
Team & Capability Building
We've built 16 data teams. From writing the first job description to coaching the head of data through their first board presentation. The goal is an organization that doesn't need us anymore.
Fractional Leadership
A Head of Data.
Without the headcount.
Most 50–500 person B2B companies need senior data leadership long before they can justify a full-time hire. A fractional Head of Data closes that gap: same seniority, a fraction of the cost, none of the hiring risk. Also called a fractional CDO or fractional data leadership, depending on how the org chart is drawn.
Ownership, Not Advice
We own the data roadmap: architecture, tooling, hiring plan, vendor decisions. Not a slide deck. Not a recommendation you have to translate into action yourself.
A Seat at the Leadership Table
We show up when data questions come up in your leadership meetings. Your board gets a straight answer, not a "let me check with the team."
Hands on the Keyboard
We build dashboards, review models, and unblock your engineers directly. The same senior person every week, not a rotating cast of consultants billing by the hour.
A Plan to Replace Us
When you're ready for a full-time hire, we write the job spec, run the interviews, and hand off a working system. Fractional isn't meant to be forever.
How the retainer works.
One or two days a week
Set days, booked on your calendar like any other member of your leadership team. Async the rest of the week over whatever you already use.
A flat monthly retainer
Invoiced monthly. No hourly billing, no surprise invoices. Pricing scales with days per week, not with how many meetings ran long.
Three months, then month-to-month
Long enough to actually fix something. After that, 30 days' notice either way. No annual lock-in.
Fractional Is For Companies That…
- Have 50–500 employees, usually €5M–€50M in revenue
- Have a warehouse, a BI tool, and growing data that nobody senior owns
- Know data should be driving decisions and aren't there yet
- Need someone at the leadership table this quarter, not after a four-month search
- Are B2B SaaS, fintech, cybersecurity, or adjacent
Fractional Is Not For Companies That…
- Are pre-product-market-fit with no meaningful data yet. Hire an analyst first.
- Want one project delivered and closed. That's project consulting. See Services above.
- Already have a senior data leader and just need extra hands. That's staff augmentation, and it's not what we do.
- Want a rubber stamp on decisions already made. We'll tell you when the plan is wrong.
Fractional vs. the alternatives.
| Full-Time Hire | Fractional Head of Data | Traditional Agency | |
|---|---|---|---|
| Cost | €120K+ base, plus equity, benefits, recruiting fees | A fraction of a full-time salary, billed monthly | €10K–€50K+ per project, new proposal every time |
| Time to start | 2–4 months to hire and ramp | Weeks, not months | Weeks of proposals and scoping |
| Seniority | Hit or miss: one candidate, one bet | 15+ years, guaranteed: the person who built 16 data teams | Often junior staff behind the senior name on the pitch deck |
| Continuity | Built in, until they leave | Built in: 3-month minimum, 30 days' notice after that | Ends the day the contract does |
| Accountability | Full, but only as good as the hire | Full: roadmap, board reporting, and outcomes are ours to own | Limited once the invoice is paid |
A full-time Head of Data or CDO costs €120K+ a year in salary alone, before equity, benefits, and a recruiting bill. A fractional retainer costs a fraction of that, billed monthly, scaled to the days per week you need. You'll get a number scoped to your company on the call, not a one-size rate card.
AnalyticsLab takes on a limited number of fractional engagements at a time, by design. Real weekly involvement doesn't scale past a handful of clients.
Track Record
Numbers we stand behind.
See It in Action
Live tools. Real data.
Built on the same systems we ship for clients.
Company Intelligence Preview
Enter a company domain. In seconds, you'll see their industry, growth signals, and data maturity score.
Try "stripe.com" or any domain
Revenue Impact
Pricing optimization for a B2B SaaS client. $2M in annual upside identified and captured.
Data Maturity Score
Four questions. Sixty seconds. Find out where your data organization stands.
How does your team make product decisions?
Who owns your data strategy?
How do you handle customer churn?
What does your data stack look like?
Methodology
The shortest path from
diagnosis to shipped.
Three phases. No sixty-page proposals. No meetings that should have been emails.
Diagnose
Two to three working sessions with your team. We look at what you're collecting, what you're missing, and where data is (or isn't) reaching the people who make decisions. The real problems tend to show up fast. In our experience, 70% of what's broken is visible by day three.
Architect
Strategy, tooling, roadmap. Everything we recommend maps back to a metric you already report on. If it doesn't move a number your leadership actually watches, it doesn't go in the plan. No vanity projects.
Execute & Transfer
We work inside your codebase, alongside your people. We ship. And then we spend real time making sure your team can run it without us. If you still need us six months later, we didn't do our job right.
That's how project engagements work: diagnose, architect, execute, then leave. Fractional retainers run the same rigor on repeat: diagnose in week one, then keep architecting and executing every month after. Staying is the point.
Client Voices
What clients say after
we leave the building.
We had zero data people when AnalyticsLab started. Six months later, a four-person analytics team was shipping weekly insights to product leads in three markets. That didn't happen by accident.
They found $2M in pricing upside we'd been sitting on for two years. Honestly a bit painful to realize, but the framework they left behind keeps finding more.
First consultancy we've worked with that presented to our board and actually changed what we funded next quarter. They speak business, not jargon.
About
15 years of shipping
what matters.
AnalyticsLab exists because of a pattern we kept seeing: smart companies with good products building data teams that couldn't get a seat at the table. After 15 years across adtech, fintech, cybersecurity, and B2B SaaS, we decided to fix the pattern instead of just watching it repeat.
We've built 16 data teams from zero. Shipped AI products that actually generate revenue (not just board-deck demos). Designed the A/B testing frameworks behind $80M+ in measured revenue growth. Led analytics programs across three regulated markets where getting the numbers wrong isn't just embarrassing, it's a compliance issue.
There's no shortage of consultancies that will hand you a strategy document and disappear. We're not that. We stay until the work is running and your team can own it. Bucharest-based, working globally.
Some of that work happens as a project, with a clear end date. Some of it happens as fractional leadership: sitting in your leadership meetings, owning the roadmap, reporting to your board, week after week, without a full-time seat on the org chart. Same standard either way. Same senior person leading it, project or retainer.
Industries Served
- B2B SaaS & Platforms
- Cybersecurity
- AdTech & Programmatic
- Fintech & Regulated Markets
- E-Commerce & Marketplaces
- AI-Native Startups
Get in Touch
You have a data problem.
We should talk.
You'll hear back within 24 hours. No pitch deck, no "let us loop in the team." A conversation about what's actually going on, whether that turns into a project or a fractional retainer.
Message received.
We reply within 24 hours, usually sooner. If it's urgent, email alex@analyticslab.ro directly.