DatriseAI-first ETL

Freshsales Microsoft Power BI

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

How Datrise loads Freshsales into Microsoft Power BI

Datrise syncs Freshsales's leads, contacts, deals, calls, and email activity telemetry 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

Freshsales: CRM by Freshworks with built-in phone and email.

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

How Freshsales entities map to Microsoft Power BI

Freshsales entityMicrosoft Power BI objectNotes
leadsfreshsales_leadsid PK · custom fields → flattened columns (nested fields expanded)
contactsfreshsales_contactsid PK · linked to freshsales_leads
dealsfreshsales_dealsid PK · linked to freshsales_leads
callsfreshsales_callsid PK · linked to freshsales_leads

FAQ

How does Datrise handle Freshsales'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 Freshsales 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

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