DatriseAI-first ETL

Insightly MicroStrategy

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

How Datrise loads Insightly into MicroStrategy

Datrise syncs Insightly's contacts, organizations, opportunities, projects, and delivery milestones 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

Insightly: CRM and lightweight project delivery.

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

How Insightly entities map to MicroStrategy

Insightly entityMicroStrategy objectNotes
contactsinsightly_contactsid PK · custom fields → flattened columns
organizationsinsightly_organizationsid PK · linked to insightly_contacts
opportunitiesinsightly_opportunitiesid PK · linked to insightly_contacts
projectsinsightly_projectsid PK · linked to insightly_contacts

FAQ

How does Datrise handle Insightly'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 Insightly 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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