From Data Practitioner to Capital Allocator

For over 15 years, I operated in the engine rooms of Europe’s most complex data organizations, places like Zalando and idealo. I managed budgets in the millions and teams of 35+ specialists. Like most leaders in that position, I was taught to measure success through technical metrics: uptime, query speed, and ticket velocity.

But as I moved closer to the boardroom, I realized those metrics were irrelevant to a CEO. While the data team was celebrating a “successful migration,” the business was bleeding. I saw a recurring gap between the planned innovation on the roadmap and the actual output reaching the market.

I realized that we weren’t just managing “data.” We were managing a portfolio of high-cost capital assets. And yet, we were the only department in the company without a ledger to measure our true yield.

The Realization: The Silent Data Tax

Most CEOs treat their data team as a fixed, “black box” cost center. They approve a €1M budget, see the headcount grow, and then wonder why decision-making hasn’t accelerated.

Through my M.A. in Decision-Making Under Uncertainty, I stopped looking at the code and started looking at the Decision Architecture. I discovered that companies are paying a “Silent Data Tax” that never shows up on an invoice. It is found in 35% of business payroll burned on manual workarounds and in 40% of data team capacity consumed by unplanned “support” and stability issues.

I retired the creative metaphors of “Cooking Data” because metaphors don’t fix P&L leaks. I founded Impact Operations to give CEOs what they’ve been missing: a capital allocation system for their data portfolio.

The Impact Operations Framework

My practice is built on a three-lever system that converts technical friction into financial signals. By reading these three levers together, we identify patterns that most organizations miss:

1. FTE Debt: We quantify the real, ongoing cost to your business side. When a marketing manager spends 10 hours a week rebuilding a dashboard in Excel because the official tool is “too slow” or “wrong,” that is payroll burning without a decision. We convert those hours into a monthly financial figure.

2. PCU-V (Portfolio Cognitive Units — Verified): We calculate the fully-loaded cost to sustain every product in your portfolio. This isn’t just cloud spend; it is the human load of incidents, ad-hoc support, and maintenance. We treat the data team like a factory with fixed lines—to add a new product, we must explicitly decide what to remove or simplify.

3. CDSI (Capacity Drain & Shift Index): We measure the gap between your roadmap and reality. If your innovation capacity is disappearing into “unplanned support” and “incident response,” CDSI makes that migration visible.

A Clinical Approach to Data ROI

I operate at the decision layer—where budget, risk, and data intersect. I don’t give “advice” based on theory; I give it based on the scar tissue of managing portfolios at scale.

My work is not about “better data.” It is about Recovered Capacity.

• If we recover 20% of your data team’s capacity, we are effectively giving you a 20% headcount increase for free.

• If we liquidate FTE Debt in your sales team, we are accelerating their time-to-decision from weeks to days.

I am not here to sell you a long-term project. I am here to perform an Economic Audit. Whether you are a CEO facing a CFO’s challenge on data spend, or a Private Equity partner looking to increase EBITDA before an exit, I provide the math and the discipline to turn your data from a cost center into a high-yield asset.