Dixa → Holistics
AI-first ETL from Dixa into Holistics. Governed entities, incremental sync, typed landing tables.
How Datrise loads Dixa into Holistics
Datrise syncs Dixa's conversations, agents, customers, tags, and resolution metrics into Holistics as warehouse tables modeled in Holistics. Flexible or custom fields land in flattened columns for the modeling layer, and timestamps such as created, updated, and status changes are typed as date/time dimensions.
Sync is incremental: Datrise uses incremental refresh of the modeled tables, so re-runs update only what changed. Date-partitioned facts for fast aggregates. Holistics models data as code on top of SQL, so Datrise lands stable column names to keep your models from drifting.
Ideal for as-code BI modeling on a warehouse.
Endpoints
Dixa: Customer service platform for conversations across channels.
Holistics: Self-service BI with modeling layers and scheduled report delivery.
How Dixa entities map to Holistics
| Dixa entity | Holistics object | Notes |
|---|---|---|
| conversations | dixa_conversations | id PK · custom fields → flattened columns for the modeling layer |
| agents | dixa_agents | id PK · linked to dixa_conversations |
| customers | dixa_customers | id PK · linked to dixa_conversations |
| tags | dixa_tags | id PK · linked to dixa_conversations |
FAQ
How does Datrise handle Dixa's custom fields in Holistics?
Flexible values are stored as flattened columns for the modeling layer, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Holistics types.
How does the Dixa to Holistics sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the modeled tables.
Related pipelines
More destinations for Dixa
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