DatriseAI-first ETL

MyCase MicroStrategy

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

How Datrise loads MyCase into MicroStrategy

Datrise syncs MyCase's contacts, accounts, deals, activities, and lifecycle events 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

MyCase: Legal practice CRM for matters, clients, and intake workflows.

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

How MyCase entities map to MicroStrategy

MyCase entityMicroStrategy objectNotes
contactsmycase_contactsid PK · custom fields → flattened columns
accountsmycase_accountsid PK · linked to mycase_contacts
dealsmycase_dealsid PK · linked to mycase_contacts
activitiesmycase_activitiesdate/time dimensions events

FAQ

How does Datrise handle MyCase'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 MyCase 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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