DatriseAI-first ETL

Google Analytics MicroStrategy

AI-first ETL from Google Analytics into MicroStrategy. Governed entities, incremental sync, typed landing tables.

How Datrise loads Google Analytics into MicroStrategy

Datrise syncs Google Analytics's sessions, events, channels, conversions, and behavior cohorts into MicroStrategy as warehouse tables for MicroStrategy's schema objects. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the warehouse tables behind attributes and metrics, so re-runs update only what changed. Date-partitioned facts. MicroStrategy maps attributes to columns, so Datrise lands stable keys and names so metrics don't break.

Ideal for large-scale enterprise reporting and governance.

Endpoints

Google Analytics: Web and product analytics for behavior and traffic insights.

MicroStrategy: Enterprise BI with dossiers, governed metrics, and mobility.

How Google Analytics entities map to MicroStrategy

Google Analytics entityMicroStrategy objectNotes
sessionsgoogle_analytics_sessionsid PK · custom fields → flattened columns
eventsgoogle_analytics_eventsdate/time dimensions events
channelsgoogle_analytics_channelsid PK · linked to google_analytics_sessions
conversionsgoogle_analytics_conversionsid PK · linked to google_analytics_sessions

FAQ

How does Datrise handle Google Analytics's custom fields in MicroStrategy?

Flexible values are stored as flattened columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native MicroStrategy types.

How does the Google Analytics to MicroStrategy sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the warehouse tables behind attributes and metrics.

Related pipelines

Early access

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