From audit to implementation, I build data systems that give leadership one version of the truth and higher margins, not another report to click through.
Service businesses, PropTech, e-commerce and performance agencies with PLN 50m+ revenue or teams of 10-300 people.
Companies growing faster than their processes, with spreadsheets, manual reporting and more people stitching data together on the side.
Companies preparing for a funding round or sale within the next 12-24 months.
I find exactly where data costs you time and money before proposing any change.
Read moreI build one source of truth so leadership, marketing and operations work from the same numbers.
Read moreI replace manual spreadsheet assembly with a system that reports by itself.
Read moreI implement AI where it measurably lowers operating costs, not for a marketing effect.
Read moreI organize data before due diligence so information chaos does not reduce your valuation.
Read moreI stay after delivery so the system does not deteriorate as the company grows.
Read moreMost companies do not know the true cost of data chaos because it is spread across analysts’ hours, reporting errors and decisions made with the wrong numbers. Nobody sees it in one budget line.
I review your data sources, reporting processes and every place where people manually join spreadsheets. I count hours, error risk and impact on management decisions, not technical tasks. The result is a concrete map of what costs the most and what to fix first.
You know exactly where money and time are leaking before investing in implementation. No guesswork, just a decision based on numbers.
As a company grows, every department starts maintaining its own spreadsheet and version of the truth. Eventually nobody sees the same numbers and decisions rely on instinct instead of facts.
I design and build a central data warehouse where information from sales, marketing and operations arrives automatically. It is not another tool to operate. It is the foundation everything else relies on.
Leadership, marketing and operations see the same number on the same day. No more “mine says something else” in management meetings.
The team loses one or two days every week manually assembling reports from different systems. This hidden cost grows with the company because more people means more manual work.
I build automated data flows from ingestion and cleaning to a finished report that appears without clicking. Where it makes sense, I add AI to reduce the team’s workload further.
The team stops losing days assembling data and starts using it. Reports are ready before anyone asks for them.
Pressure to “have AI” leads to implementations with no measurable financial impact. They cost money but do not return it through better margins.
I use AI and LLMs where they replace manual work or accelerate decisions, such as customer sentiment analysis, data classification and report generation. Every implementation starts with one question: how will this affect cost or revenue?
AI that genuinely relieves the team and has a measurable result, rather than technology for its own sake.
During due diligence, investors inspect reporting systems closely. Inconsistent departmental numbers, spreadsheet-based data and no single source of truth become hard arguments for lowering the price.
I step in before a funding round or sale and organize the data so it withstands scrutiny from the other side of the table. Chaotic information becomes something an investor can verify and trust.
You protect the company’s valuation instead of explaining discrepancies during the most important negotiations in its history.
An implementation that works today may start failing in six months. The company grows, data sources change and an unattended system begins to drift.
After the main project, I provide monitoring, optimization and continued development so what we built works just as well when the team doubles.
Peace of mind. The data simply works even as the company grows.
1
We start with an audit, design the data architecture, automate processes and add AI where it makes sense. I lead the work personally from the first leadership conversation to implementation, whether the technical build sits with my team or yours.
2
I stay after the build. Monitoring, optimization and continued development keep the system from drifting as the company grows.
We start with a scan, not a sales pitch. You will see the specific margin leaks before deciding on anything more.