DatriseAI-first ETL

Totango Microsoft Power BI

AI-first ETL from Totango into Microsoft Power BI. Governed entities, incremental sync, typed landing tables.

How Datrise loads Totango into Microsoft Power BI

Datrise syncs Totango's contacts, accounts, deals, activities, and lifecycle events into Microsoft Power BI as star-schema-friendly tables for an Import or DirectQuery dataset. Flexible or custom fields land in flattened columns (nested fields expanded), and timestamps such as created, updated, and status changes are typed as date/time columns with a date table.

Sync is incremental: Datrise uses incremental-refresh windows aligned to Power BI's RangeStart/RangeEnd, so re-runs update only what changed. Date-partitioned fact tables matching incremental-refresh policies. Power BI measures and relationships live in the .pbix model, so Datrise keeps the underlying tables stable and star-schema-shaped.

Ideal for Microsoft-stack self-serve reporting.

Endpoints

Totango: Customer success platform for health scores, playbooks, and renewals.

Microsoft Power BI: Microsoft business intelligence with datasets, reports, and semantic models.

How Totango entities map to Microsoft Power BI

Totango entityMicrosoft Power BI objectNotes
contactstotango_contactsid PK · custom fields → flattened columns (nested fields expanded)
accountstotango_accountsid PK · linked to totango_contacts
dealstotango_dealsid PK · linked to totango_contacts
activitiestotango_activitiesdate/time columns with a date table events

FAQ

How does Datrise handle Totango's custom fields in Microsoft Power BI?

Flexible values are stored as flattened columns (nested fields expanded), so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Microsoft Power BI types.

How does the Totango to Microsoft Power BI sync stay up to date?

It runs incrementally — Datrise uses incremental-refresh windows aligned to Power BI's RangeStart/RangeEnd.

Related pipelines

Early access

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