DatriseAI-first ETL

NetSuite SuiteAnalytics to Yellowfin Integration

AI-first ETL from NetSuite SuiteAnalytics into Yellowfin. Governed entities, incremental sync, typed landing tables.

How Datrise loads NetSuite SuiteAnalytics into Yellowfin

Datrise syncs NetSuite SuiteAnalytics's transactions, customers, items, subsidiaries, journal entries, and sales orders into Yellowfin as warehouse tables Yellowfin builds views on. 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 connected tables, so re-runs update only what changed. Date-partitioned facts. Yellowfin views reference columns by name, so Datrise lands stable, well-typed columns to keep reports valid.

Ideal for dashboards with automated data storytelling.

Endpoints

NetSuite SuiteAnalytics: ERP financials, orders, and inventory from NetSuite.

Yellowfin: BI suite with dashboards, automated insights, and data storytelling.

How NetSuite SuiteAnalytics entities map to Yellowfin

NetSuite SuiteAnalytics entityYellowfin objectNotes
transactionsnetsuite_suite_analytics_transactionsid PK · custom fields → flattened columns
customersnetsuite_suite_analytics_customersid PK · linked to netsuite_suite_analytics_transactions
itemsnetsuite_suite_analytics_itemsid PK · linked to netsuite_suite_analytics_transactions
subsidiariesnetsuite_suite_analytics_subsidiariesid PK · linked to netsuite_suite_analytics_transactions

FAQ

How does Datrise handle NetSuite SuiteAnalytics's custom fields in Yellowfin?

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 Yellowfin types.

How does the NetSuite SuiteAnalytics to Yellowfin sync stay up to date?

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

Related pipelines

Early access

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