Listrak to MicroStrategy Integration
AI-first ETL from Listrak into MicroStrategy. Governed entities, incremental sync, typed landing tables.
How Datrise loads Listrak into MicroStrategy
Datrise syncs Listrak's contacts, lists, campaigns, message events, orders, and segments 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
Listrak: Retail email, SMS, and behavioral marketing.
MicroStrategy: Enterprise BI with dossiers, governed metrics, and mobility.
How Listrak entities map to MicroStrategy
| Listrak entity | MicroStrategy object | Notes |
|---|---|---|
| contacts | listrak_contacts | id PK · custom fields → flattened columns |
| lists | listrak_lists | id PK · linked to listrak_contacts |
| campaigns | listrak_campaigns | id PK · linked to listrak_contacts |
| message events | listrak_message_events | date/time dimensions events |
FAQ
How does Datrise handle Listrak'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 Listrak to MicroStrategy sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the warehouse tables behind attributes and metrics.
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