Data Panda brings your Oracle NetSuite data together with the data from the rest of your business. From one place, we turn it into dashboards, automations, AI workflows and custom apps your team uses every day.
NetSuite was founded in 1998 and acquired by Oracle in 2016 for US$9.3 billion. It is aimed at scaling and mid-market companies, with modules covering financials, order and billing management, inventory and warehouse, ecommerce, HCM and professional services automation. Its multi-subsidiary architecture is the reason most groups with more than three entities end up on it.
The point of pulling NetSuite into a warehouse is that a NetSuite group running more than a handful of subsidiaries spends real time making its own reports agree. Charts of accounts drift, intercompany adjustments compound, and the consolidated P&L is still partly built in Excel. Next to Salesforce, Shopify and Stripe data, the warehouse becomes the honest group view that NetSuite saved and that subsequent manual work tends to corrode.
Group P&L, working capital and margin across every subsidiary without the month-end merge.
Keep NetSuite in sync with the commercial and commerce tools around it.
Turn NetSuite history into forecasts that outrun SuiteAnalytics defaults.
Internal tools on NetSuite data for people who should not need a NetSuite seat.
A list of concrete reports, automations and AI features we have built on NetSuite data. Pick the one that matches your situation.
Is the group P&L stable across subsidiaries, or is consolidation hiding drift?
Subsidiary-level P&L, intercompany balances and FX translation on the same view, reconciled against the group consolidation. Flags the subsidiary whose result is carrying a trend that disappears into the group number, before the audit does.
Where is working capital leaking?
AR aging, inventory days and AP aging across subsidiaries, with the cash position layered on top. Identifies the customer, SKU or supplier cluster that is tying up group cash, not just the total that moved on the balance sheet.
How does a closed-won deal become recognised revenue?
Salesforce opportunity tracked to NetSuite sales order, shipment or subscription start, invoice and revenue recognition schedule. Elapsed days at each hop reveal where the cycle lengthens, per subsidiary and per deal size.
Consolidated P&L, intercompany drift and working capital across subsidiaries, without the Excel merge the fifth of every month. Group close stops waiting on the subsidiary controller with the slowest spreadsheet.
Pipeline-to-order-to-revenue timing per rep and subsidiary, tied back to Salesforce, HubSpot or Pipedrive. Forecast accuracy is checked against NetSuite revenue recognition, not against CRM stage optimism.
Fulfilment SLA, supplier reliability and inventory turns across warehouses and subsidiaries. Supply-chain decisions are made against the group view, not against one subsidiary's saved search.
Closed-won Salesforce opportunities drop into NetSuite as sales orders in the right subsidiary, with customer, item and pricing mapped. Invoice and revenue-recognition status flow back to the opportunity, so sales and finance see the same cycle from closed-won to cleared cash.
HubSpot deals that reach closed-won create a NetSuite quote or sales order in the right subsidiary, and invoice state flows back to HubSpot. Marketing reports ROI against booked revenue recognised in NetSuite, not against a forecast number that never clears.
Shopify orders land in NetSuite as sales orders in the subsidiary that owns the brand or the region, with items, tax treatment and fulfilment handled. Refunds post as credit notes. Multi-brand groups stop pretending Shopify revenue is one number.
Stripe subscription starts, upgrades, churn and refunds push into NetSuite as revenue-recognition schedule events. Deferred revenue unwinds on the Stripe-confirmed billing cycle, not on a manual upload the tenth of every month.
You keep the reporting tool you already have. We connect it to the warehouse where your NetSuite data lives.
OAuth authentication. Read-only by default. We sign a DPA and your admin keeps the keys.
Data flows into your warehouse on your schedule. Near real time or nightly, your call. You own the data.
We build the first dashboard, workflow or AI feature with you, then hand over the keys. Or we stay on for ongoing delivery.
We set up the foundation. Your team builds on top.
Best fit Teams that already have a BI analyst or data engineer and want to own the build.
We build the whole thing, end to end.
Best fit Teams without in-house BI or dev capacity. You tell us what you need and we deliver it.
You do. It lands in your warehouse, on your cloud account. We don't resell or aggregate it. If you stop working with us, the warehouse stays yours and keeps running.
Near real time for most operational systems. For heavier sources we schedule hourly or nightly. You pick based on what the reports need.
No. If you don't have one, we help you pick one and set it up as part of the first delivery. Common starting points are Snowflake, Microsoft Fabric, or a small Postgres start.
Every subsidiary, accounting book and currency comes across as a first-class dimension in the warehouse. Reporting can stay per subsidiary for local management, roll up to regional or business-line level, or all the way to group with FX translation aligned to NetSuite's own rates.
Custom records, custom fields and the relationships between them land as first-class tables, not as a blob. Saved searches are kept as references so downstream reporting can mirror the logic, but the warehouse version uses SQL-native joins instead of the SuiteAnalytics engine, which is where most of the speed-up comes from.
We review your NetSuite setup and the systems around it. Together we pick the first thing worth building.