DatriseAI-first ETL

Xero Looker Studio

AI-first ETL from Xero into Looker Studio. Governed entities, incremental sync, typed landing tables.

How Datrise loads Xero into Looker Studio

Datrise syncs Xero's contacts, invoices, bank transactions, accounts, and payments into Looker Studio as warehouse tables Looker Studio connects to. Flexible or custom fields land in flattened columns for chart fields, and timestamps such as created, updated, and status changes are typed as date dimension columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned tables to keep extract refresh fast. Looker Studio performs best on pre-aggregated tables, so Datrise lands tidy, report-shaped tables rather than raw API payloads.

Ideal for free, shareable dashboards on Google data sources.

Endpoints

Xero: Cloud accounting for SMB ledgers and cash flow.

Looker Studio: Google self-service dashboards and reporting (formerly Data Studio).

How Xero entities map to Looker Studio

Xero entityLooker Studio objectNotes
contactsxero_contactsid PK · custom fields → flattened columns for chart fields
invoicesxero_invoicesid PK · linked to xero_contacts
bank transactionsxero_bank_transactionsid PK · linked to xero_contacts
accountsxero_accountsid PK · linked to xero_contacts

FAQ

How does Datrise handle Xero's custom fields in Looker Studio?

Flexible values are stored as flattened columns for chart fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Looker Studio types.

How does the Xero to Looker Studio sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

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