László Kenéz Power BI Analyst

László Kenéz

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

I connect your existing systems — ERP, CRM, Excel and operational tools — into one trusted data platform. Then I add AI automation and reporting that cut out the manual work and keep your business running on reliable data.

Book a free call

I connect your existing systems — ERP, CRM, Excel and operational tools — into one trusted data platform. Then I add AI automation and reporting that cut out the manual work and keep your business running on reliable data.

Book a free call

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? From there I build the shortest path to an answer — a solid data platform connecting your ERP, CRM, Excel and cloud services, complemented by AI automation where it truly pays off: document processing, email routing, workflows and always up-to-date Power BI dashboards. Not every company needs a cloud platform on day one — I'll tell you honestly which side of that line you're on.

The responsible adoption of AI is 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 Associatequalification, I've completed several Microsoft exams — because practical work needs structured, in-depth understanding.

Finance

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

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

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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