Case studies
Real projects, real results — from cleaning up the data foundation to AI solutions.
Three years ago, I joined a private clinic and dental practice as Head of Development. The data landscape was fragmented and ad hoc. Medical commissions, profitability insights, shift scheduling, inventory control, quality assurance — every area either ran on manual spreadsheets or lacked structure entirely. Rather than overhaul everything at once, we mapped the entire data workflow — identifying where human judgment was essential, where automation could safely take over, and where we could streamline without losing control. We combined off-the-shelf tools with custom solutions built on Google Cloud and Looker Studio. Cost efficiency was non-negotiable: the operational expense of running these systems is a fraction of the savings they generate. We built the foundation brick by brick — never overwhelming the team, always moving at a pace the organization could absorb. Now that the core infrastructure is solid, additional features, insights, and improvements can be layered on top. The clinic has moved from reactive, scattered data handling to a proactive, integrated system.
110-person private clinic (Budapest)