Full Answer
Data ownership has two practical dimensions: where data lives and who controls access. Platform data (GA4, Meta, Klaviyo) is stored on the platform's servers under their terms of service. You can view it, export limited snapshots, and run reports — but you cannot query raw event-level data, retain it beyond their retention limits, or guarantee continued access if your account is suspended, the platform changes its API, or the company itself changes its policies.
Owned data lives in infrastructure you control. BigQuery is the most practical destination for ecommerce stores: Google provides the infrastructure, but the data belongs to you. You set the retention policy (unlimited), you control access, you can join it with any other dataset, and you can query it directly with AI tools or send it to any analytics platform. If Google sunsets GA4 the way it did Universal Analytics, your BigQuery data is unaffected.
The business case compounds over time. Three years of unsampled transaction history in BigQuery enables AI-powered LTV prediction, churn modelling, and seasonal pattern recognition that no platform's built-in analytics can match — because they don't retain your data long enough, at sufficient granularity, to train those models. Data you own gets more valuable every month. Data you rent disappears the moment you stop paying or the platform changes the rules.
