DatriseAI-first ETL

Zenloop to MicroStrategy Integration

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

How Datrise loads Zenloop into MicroStrategy

Datrise syncs Zenloop's surveys, answers, NPS scores, respondents, sentiment labels, and feedback topics 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

Zenloop: NPS surveys and customer feedback analysis.

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

How Zenloop entities map to MicroStrategy

Zenloop entityMicroStrategy objectNotes
surveyszenloop_surveysid PK · custom fields → flattened columns
answerszenloop_answersid PK · linked to zenloop_surveys
NPS scoreszenloop_nps_scoresid PK · linked to zenloop_surveys
respondentszenloop_respondentsid PK · linked to zenloop_surveys

FAQ

How does Datrise handle Zenloop'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 Zenloop to MicroStrategy sync stay up to date?

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

Related pipelines

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