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NetSuite Data Intelligence (formerly NSAW): when saved searches aren't enough
NetSuite's built-in reporting — saved searches, SuiteAnalytics workbooks, and financial reports — handles most day-to-day analysis. But when you need to analyze historical trends across millions of transactions, blend NetSuite data with external sources, or build executive dashboards without hammering your production instance, you need a data warehouse.
Direct answer: NetSuite Analytics Warehouse (NSAW) was renamed NetSuite Data Intelligence at SuiteWorld 2026. It is Oracle's pre-built data warehouse for NetSuite. It extracts data from your NetSuite account into an Oracle Autonomous AI Lakehouse instance, puts a pre-built data model on top for reporting, and includes Oracle Analytics Cloud (OAC) for dashboards and visualization. Oracle runs the pipeline, so you don't build and maintain one from NetSuite to a BI tool. The trade-off: it's Oracle's ecosystem (OAC dashboards, Oracle's data model) rather than a stack you assemble yourself, such as Snowflake with Tableau or Power BI. This guide still says NSAW in most places because that is the name in existing contracts, documentation and search results.
Updated October 27, 2026 with the SuiteWorld 2026 announcements.
NetSuite Analytics Warehouse is now NetSuite Data Intelligence
At SuiteWorld 2026 (October 26), Oracle's press release said NetSuite Analytics Warehouse is now called NetSuite Data Intelligence; on the keynote demo screens it was abbreviated NSDI. The new name appeared alongside two agents, a Data Intelligence Agent and a Deep Insights Agent, both planned for a future release. The press release gives no date and no pricing. Treat everything under NSAW in this guide as describing the same product under its earlier name.
What Evan Goldberg described on stage in the opening keynote (not in the press release):
- Data transforms make connecting third-party data drag-and-drop. This bears on the external-data trade-off below, though we have not tested it.
- "NetSuite account analysis" provides pre-joined data sets for faster financial reporting.
- Saved searches and data sets can now be transferred into the product instead of rebuilt.
- Intelligent alerts flag risks, such as a potential stockout, with a link to act on them.
- A Deep Insights agent gives business-specific insights. In the demo it was described as powered by Oracle AI Data Platform, using historical NetSuite snapshots plus internal documents (a discount policy) to find orders that broke that policy.
- Bring your own AI: through the AI Connector Service, you can explore the data with the AI of your choice.
On timing, Goldberg said the NetSuite Data Intelligence agent comes to Ask Oracle "starting in November". The press release lists it as a future release with no date, so treat November as a statement, not a commitment. For the wider picture see SuiteWorld 2026 announcements and our NetSuite AI guide.
What NSAW includes
Oracle describes NSAW as a data pipeline, a data warehouse, a semantic model and ready-to-use content (key metrics, dashboards and reports). Oracle Analytics Cloud is included, and the warehouse runs on Oracle Autonomous AI Lakehouse.
Pre-built data model
NSAW loads NetSuite data into fact and dimension tables and adds a semantic model on top, organized into subject areas, mostly one per transaction type. You choose which functional areas to transfer. Oracle's help lists these:
- Bank: checks, deposits, transfers, credit card charges and refunds
- Employee Expense: expense reports
- Financials: journals, budgets, currency revaluation, revenue arrangements and commitments
- Inventory: adjustments, counts, transfers, transfer orders, bin activity, inventory snapshots
- Manufacturing: assembly builds, work orders, issues and completions
- Payroll: paychecks and paycheck journals
- Projects and Support Management: time tracking, timesheets, charges, support cases
- Purchases: requisitions, purchase orders, item receipts, vendor bills, payments and returns
- Sales: opportunities, estimates, sales orders, invoices, payments, fulfillments, returns, commissions, subscriptions
- Sales Snapshot: point-in-time copies of opportunities, customer payments, fulfillments and commissions
The pre-built model means you don't need a data engineer to design the warehouse schema — Oracle has already mapped NetSuite's transactional data into an analytics-friendly structure.
Custom data takes extra setup. Only some standard NetSuite fields transfer by default; custom fields and supplemental standard fields are selected by hand on the Data Transfer Setup page. Custom records and custom transaction types come in through data augmentation, as a custom dimension, a custom fact or an extension of an existing entity.
Data extraction and loading
NSAW handles the ETL (Extract, Transform, Load) process:
- Extract: Data is pulled from your NetSuite production instance
- Transform: Transactional data is restructured into the dimensional model
- Load: Transformed data is loaded into the warehouse
Data refreshes on a schedule. The baseline is a daily incremental load, and Oracle also lets you schedule more frequent refreshes for applicable functional areas. Either way, NSAW is not real time: dashboards show data as of the last refresh. For most analytical use cases, this is acceptable.
Oracle Analytics Cloud (OAC)
The visualization layer. OAC provides:
- Pre-built dashboards: Workbooks for financials, sales, order management, procurement and inventory
- Custom dashboards: Build your own visualizations, reports, dashboards and key metrics
- Self-service analytics: Business users can explore data without SQL knowledge
- Statistical analytics: Forecasts, trend and reference lines, clusters and outliers on a visualization
Oracle's service description for NSAW includes Oracle Analytics Cloud Enterprise but excludes the entitlement to Oracle's mobile apps (Oracle Business Intelligence Mobile and Day by Day).
Pre-built analytics content
Oracle ships prebuilt analyses, key metrics and workbooks with NSAW. Its reference guide (August 2026 edition) lists, among others:
Financial analytics
- AP and AR aging, with payables and receivables detail
- Budget vs. actual and income statement
- Cash forecast: forecast receipts and outlays
- Cost of goods sold by quarter and location
- Deferred revenue waterfall
- DSO, DPO and DIO
- Spend by category, department and supplier, plus employee expenses
- SaaS metrics: MRR, LTV, LTV to CAC, churn and renewal rate
Sales analytics
- Pipeline by status and sales rep, and opportunity win/loss
- Sales by customer, item and sales rep
- Customer growth: average selling price, order frequency, customer lifetime sales
- Overdue invoices and customer payments
- Forecast accuracy: forecast vs. actuals
- Fulfillment, returns, and late vs. on-time shipments
Procurement analytics
- Vendor spend and top vendors
- Vendor delivery performance (late deliveries)
- Open purchase orders, requisitions, vendor payments and vendor returns
Inventory and operations analytics
- Inventory turnover by subsidiary and location
- Inventory valuation and stock ledger
- Back orders by item and location
- Inventory counts, adjustments and transfers
- Item cost vs. purchase price
- Manufacturing: assembly builds, work orders, and shortages against pending fulfillments
- Project hours, timesheets and support cases
Oracle also includes admin content: warehouse refresh statistics, data validation results and usage tracking.
NSAW vs. building your own
The DIY approach: NetSuite → Snowflake/BigQuery → BI tool
The alternative is to build your own analytics pipeline:
- Extract data from NetSuite via SuiteAnalytics Connect (ODBC/JDBC), the REST API, or an integration tool
- Load into a cloud data warehouse (Snowflake, BigQuery, Redshift)
- Transform with dbt or custom SQL
- Visualize with Tableau, Power BI, or Looker
Pros of DIY:
- Flexibility: Choose your own tools at each layer
- Blended data: Combine NetSuite data with data from other systems (Salesforce, marketing platforms, product analytics) in one model you control
- Tool familiarity: Your team may already know Tableau or Power BI
- No vendor lock-in: Swap any component without rebuilding everything
Cons of DIY:
- Build and maintain the pipeline: Someone needs to design the schema, build the ETL, handle schema changes when NetSuite updates, and monitor data quality
- Time to value: Nothing is ready until the pipeline, the model and the dashboards are built and tested. How long that takes depends on how many sources, custom records and reports you need
- Ongoing cost: Data engineering time, warehouse compute costs, BI tool licenses
The NSAW approach
Pros:
- Faster start: The model, metrics and dashboards already exist, so you start from working reports instead of an empty warehouse
- Managed pipeline: Oracle manages the service, its upgrades and the prebuilt content; you choose what to transfer and when it refreshes
- Optimized for NetSuite: The data model is designed specifically for NetSuite's data structure
- Single vendor: Oracle supports the entire stack
Cons:
- Oracle ecosystem lock-in: You're using OAC, not the BI tool your team may prefer. Moving data out to other tools depends on your tier (see pricing below)
- Custom data takes setup: The prebuilt model covers standard NetSuite records. Custom fields have to be selected for transfer, and custom records need data augmentation before you can report on them
- External data is your job: Oracle's prebuilt metrics are sourced from NetSuite. Other sources come in through third-party data connectors or data transforms, and the model and reports for them are yours to build. Oracle's newer data transforms (see above) aim to make that easier; verify against your sources before relying on it
- Cost: A separate subscription on top of NetSuite, and Oracle does not publish the price (see pricing below)
When NSAW makes sense
- You want analytics quickly without building infrastructure
- Your analysis is primarily NetSuite data (financials, sales, inventory)
- You don't have data engineering resources
- You're comfortable with Oracle Analytics Cloud as your BI tool
When DIY makes sense
- You need to blend NetSuite data with multiple other systems
- Your team already uses Tableau, Power BI, or Looker
- You have data engineering resources
- You want maximum flexibility in data modeling and visualization
Setup and deployment
Prerequisites
- An active NetSuite subscription
- A NetSuite Analytics Warehouse subscription, sold separately from NetSuite
- Oracle Analytics Cloud, which is included with NSAW
- SuiteAnalytics Connect and OAuth 2.0 (existing accounts may still use token-based authentication). NetSuite turns both on when you enable NSAW, and turning either off stops the data pipeline
Deployment process
Oracle's documented workflow, with our checks added:
- Enable: An administrator checks NetSuite Analytics Warehouse under Setup > Company > Enable Features > Analytics
- Activate: Follow the welcome email. Oracle then configures the warehouse, which can take some time, and creates the NetSuite Data Warehouse integration record
- Add users: Both NetSuite users and non-NetSuite users can be added
- Move the transfer credentials: By default they belong to whoever enabled NSAW. Oracle recommends a generic account so the pipeline keeps working if that person leaves
- Choose the data: Select the functional areas to transfer, then add custom and supplemental fields on the Data Transfer Setup page
- Schedule refresh: Set the incremental load schedule, and more frequent refreshes where you need them
- Verify: Check that key data sets loaded correctly — trial balance, transaction counts, customer/vendor records
- Configure dashboards and access: Adjust the prebuilt dashboards or build new ones, and set role-based access
Oracle's documentation gives no typical deployment time. What drives it: data volume for the first load, how many functional areas you transfer, how many custom fields and records you need, and how far you change the prebuilt dashboards.
Pricing
Oracle does not publish pricing for NSAW, now NetSuite Data Intelligence, and its SuiteWorld 2026 press releases do not mention pricing. What Oracle's service descriptions (effective June 15, 2026) do say:
- It is its own cloud service, sold in Standard, Premium and Enterprise tiers, and it requires a NetSuite ERP subscription contracted separately.
- The tiers differ in named users, storage and data extraction. Standard does not include extracting data to third-party tools. Premium and Enterprise do, but anyone who uses that data in the third-party tool needs an NSAW license.
- Oracle Analytics Cloud is included, so it is not a separate line.
- Add-ons include 5-user packs and capacity packs.
For a DIY pipeline, the cost lines are warehouse compute and storage, BI tool licenses, and the engineering time to build and maintain the pipeline. Each vendor prices these differently, so price them for your own data volumes and users.
The comparison depends heavily on whether you have data engineering resources already. If you do, and you already pay for a BI tool, a DIY pipeline reuses what you have. If you don't, NSAW removes the need to hire or contract for pipeline development.
What clients ask before signing
Sources
- Oracle press release, October 26, 2026: NetSuite Advances Vision for an Autonomous Suite
- SuiteWorld 2026 opening keynote, Evan Goldberg, October 26, 2026 (statements attributed in the text)
- Oracle Help Center: About Oracle NetSuite Analytics Warehouse
- Oracle Help Center: Supported Functional Areas
- Oracle Help Center: Reference for Oracle NetSuite Analytics Warehouse: Prebuilt
- Oracle Help Center: Transferring Custom and Supplemental Fields and About Augmenting Your Data
- Oracle Help Center: Schedule Frequent Data Refreshes for Functional Areas
- Oracle Help Center: Enabling NetSuite Analytics Warehouse and Typical Workflow to Get Started
- Oracle Help Center: Enhance Visualizations with Statistical Analytics
- Oracle: Oracle NetSuite Service Descriptions, effective June 15, 2026
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Mercedes Lerena
Co-founder & CEO
Co-founder and CEO of BrokenRubik, leading strategic vision and business operations for over a decade. Expert in building and scaling NetSuite consulting teams, with deep experience in enterprise software delivery and client relationship management.