d8a.tech

We fixed BigQuery export in GA4. I’m Vincent (Finn) de Winter, co-founder at d8a.tech. After 15 years in the data industry, my team and I got tired of watching smart people struggle with broken tools. We’ve all seen the cycle: analysts wasting hours untangling GA4’s nested data, CMOs worrying about the next "forced" update, and compliance officers losing sleep over where their data actually sits. Most companies just accept this as the cost of doing business. We decided it shouldn't be. Why now? The timing for a shift in how we handle analytics has never been more critical: - While European regulations are evolving to potentially ease the burden for SMBs, self-hosting remains the only way to truly eliminate sub-processing risks. - Geopolitical stability: Relying on tech you don't own is a liability. We all remember when GA faced bans across Europe; owning your infrastructure means you aren't at the mercy of EU-US data transfer disputes. - AI models are only as good as the data feeding them. While GA4 exports often suffer from a 24–48 hour lag, d8a.tech delivers fresh, structured data immediately, giving you the real-time foundation needed for modern LLM integrations. The Problem with "Standard" Analytics Most platforms prioritize flashy dashboards over data quality. We flipped that. We focused on building a foundation that provides clean, queryable data that shows up in minutes. No workarounds, no nested-field nightmares, and no more discrepancies between your UI and your exports. Why this matters - Deploy on your own infrastructure - cloud, on-prem, or air-gapped. Your data never leaves your control. - Setup takes minutes. We use the same tracking protocol as GA4, so you can point your existing tracking to d8a with zero code changes. - For Healthcare, Finance, or Government, "close enough" isn't an option. We keep your data behind your firewall and within your jurisdiction. - Marketing teams get full attribution (UTMs, GCLIDs) preserved exactly as sent. Data engineers get logical schemas they can actually use. Take back control Your data team is too talented to spend their careers fighting broken schemas. We built this so you can stop reacting to the whims of big tech and start actually using your own information. The code is open source. Deploy it, poke around, and tell us what you think. It's time to stop paying for tools that make your job harder 😉