kvCORE → MicroStrategy
AI-first ETL from kvCORE into MicroStrategy. Governed entities, incremental sync, typed landing tables.
How Datrise loads kvCORE into MicroStrategy
Datrise syncs kvCORE'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
kvCORE: Real estate CRM for leads, listings, and agent follow-up.
MicroStrategy: Enterprise BI with dossiers, governed metrics, and mobility.
How kvCORE entities map to MicroStrategy
| kvCORE entity | MicroStrategy object | Notes |
|---|---|---|
| contacts | kvcore_contacts | id PK · custom fields → flattened columns |
| accounts | kvcore_accounts | id PK · linked to kvcore_contacts |
| deals | kvcore_deals | id PK · linked to kvcore_contacts |
| activities | kvcore_activities | date/time dimensions events |
FAQ
How does Datrise handle kvCORE'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 kvCORE 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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Early access
Connect kvCORE to MicroStrategy the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.