László Kenéz

The data engineer for companies too small for an IT department — and too big for Excel chaos.

I connect your ERP, CRM, Excel and operational systems into one trusted data platform — with automated Power BI dashboards and practical AI where it saves time.

25 years helping businesses replace manual work with reliable data.

Let's find your quickest win

I connect your ERP, CRM, Excel and operational systems into one trusted data platform — with automated Power BI dashboards and practical AI where it saves time.

25 years helping businesses replace manual work with reliable data.

Let's find your quickest win

Over the course of my career I've learned that a data solution only becomes valuable when it makes someone's work easier, faster or more reliable. That's still my guiding principle today.

Every project starts from business questions, not technology. Why does reporting take so long? Where do people still copy data by hand? Which system holds the truth? What could be automated without losing control? From there I build the shortest path to an answer: connecting Excel sheets, legacy ERPs, on-premise databases and cloud services into one platform that feeds always-up-to-date Power BI dashboards, automated workflows and practical AI assistance.

The responsible adoption of AI in business is a particular focus of mine — it's at the heart of my Microsoft AI Transformation Leader certification, which covers how today's AI capabilities translate into measurable business value. Alongside my Power BI Data Analyst Associate qualification, I've completed several Microsoft Fundamentals and Applied Skills exams — because practical work needs structured, in-depth understanding.

Finance

Imagine your month-end financial report is no longer a three-day Excel ordeal but a dashboard that's always up to date. Data flows in automatically from your accounting system, plan and actuals sit side by side, and variances can be drilled into instantly. What used to take days to compile is now a single click away.

Manufacturing

Unplanned machine downtime is one of the most expensive events in a factory — and often it could have been prevented if vibration, temperature, or energy consumption had signalled the issue in time. Data from IoT sensors, machine learning-based forecasting, and supplier performance analysis together form a system that doesn't just record problems after the fact — it helps prevent them before they happen.

Healthcare

Half an hour before a busy clinic opens, no one knows which department will become overloaded. Yet the data is all there — in the booking system, the electronic health records, the staff schedule. With AI-based forecasting and the right system integration, patient flow becomes predictable, waiting times shorten, and resources can be allocated where they're needed most.

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László Kenéz

The data engineer for companies too small for an IT department — and too big for Excel chaos.

Finance

Manufacturing

Healthcare

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