Cherry Seed

What makes data AI-ready for future business use?

ai ready data strategy bigquery ml future proofing data trees

Quick Answer

AI-ready data requires: raw event-level granularity (not pre-aggregated), consistent formats, proper metadata, stored in queryable infrastructure like BigQuery. Most businesses lose AI training potential by only sending data to analytics platforms that aggregate it. Own your raw data now to train AI models later.

Full Answer

AI and ML models need training data. GA4 processes, samples, and aggregates your data which is fine for dashboards but terrible for AI. AI-ready data means: raw events with all fields preserved, complete capture (server-side, no ad blocker gaps), historical depth (BigQuery retains forever vs GA4 14-month limit), consistent schema for model training, and ownership so you can export and process freely. Businesses with AI-ready data infrastructure command 10-20% valuation premiums.

Sources

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Cherry Tree by Seresa - https://seresa.io/seed/bigquery-data-ownership/ai-ready-data-strategy