Connect Oracle NetSuite to Power BI
Send Oracle NetSuite contacts, invoices, tasks and 101 more data types to Power BI on a schedule. Filter by date. Refresh as often as every 15 minutes.
How to connect Oracle NetSuite and Power BI
6 steps. You can preview the Oracle NetSuite data in Coupler.io before anything reaches Power BI.
Step 1 of 6
Connect Oracle NetSuite
Enter your Oracle NetSuite realm (account id), consumer key, consumer secret, token key (token id) and token secret. You only do this once per account.
Step 2 of 6
Choose a data type
Pick the kind of Oracle NetSuite data to export.
Show 32 more data types Show fewer data types
And 64 more data types.
Step 3 of 6
Choose what to export
Pick the Oracle NetSuite data you want in Power BI.
Show 32 more data types Show fewer data types
And 64 more data types.
Step 4 of 6
Fine-tune the export
Optional settings for this Oracle NetSuite export.
Step 5 of 6
Connect Power BI
Copy the integration URL Coupler.io generates, run the data flow once, then paste the URL into Power BI Desktop under Get Data, Web.
Step 6 of 6
Choose a write mode and schedule
Every run either replaces or appends the data in Power BI. Run it as often as every 15 minutes.
Each run overwrites all data at the URL with fresh Oracle NetSuite data.
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Build your Oracle NetSuite integrations with these destinations
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Gather data
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104 data types, including Contact, Invoice, Task, Account and Objects.
With your Oracle NetSuite realm (account id), consumer key, consumer secret, token key (token id) and token secret, entered once when you add the connection.
Yes. Set the start date to cover the period you need.
Coupler.io gives you a JSON integration URL. In Power BI Desktop, choose Get Data, then Web, and paste the URL.
Yes. Coupler.io updates the Oracle NetSuite data on its schedule, and Power BI reads it on its own. Schedule the Power BI refresh to run after the Coupler.io one.
On a schedule you choose, from monthly down to every 15 minutes, depending on your Coupler.io plan.
Yes. Add more sources to the same data flow, for example 100ms or Amazon Seller Central, and join or append them before the data reaches Power BI.