Opinions, lessons, and technical deep-dives from two people who ship data systems for a living.
Journal.
We write about the problems we encounter in real client work — EU AI Act compliance, server-side tracking, data architecture decisions, and the gap between AI hype and production reality. No thought-leadership fluff. If we haven't built it, debugged it, or shipped it, we don't write about it.
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EU AI Act compliance for mid-market companies: what you actually need to do by August 2026
The EU AI Act deadline is August 2026. Here's what mid-market DACH companies need to do — risk classification, documentation, and oversight.
Server-side tracking in 2026: why client-side GA4 isn't enough for DACH companies
Client-side GA4 loses 25-40% of data to ad blockers and consent rejection in DACH. Server-side tracking fixes this while improving GDPR compliance.
Why AI pilots fail before production — and the 90-day fix
Over 70% of enterprise AI pilots never reach production. Here are the 5 reasons they stall and the 90-day framework that actually ships.
Topics we cover
AI in production
Why most AI pilots never make it past staging, how to build MLOps pipelines that work, and what EU AI Act compliance actually requires before the August 2026 deadline.
Data engineering
Server-side tracking architectures, consent management with OneTrust and Usercentrics, pipeline design with dbt and Snowflake, and data quality frameworks that catch problems before your analysts do.
Cloud & infrastructure
EU data sovereignty beyond "Frankfurt region", infrastructure-as-code with Terraform, cloud cost optimization, and why CLOUD Act exposure matters for European companies.
Business intelligence
KPI frameworks that survive contact with reality, semantic layers that end definition arguments, and dashboards that people actually open on Monday mornings.
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