Data Panda brings your BigCommerce 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.
BigCommerce started in 2009 in Sydney, founded by Eddie Machaalani and Mitchell Harper, and moved its headquarters to Austin, Texas. It went public on Nasdaq in August 2020 under the ticker BIGC and now serves mid-market and enterprise merchants around the world. The positioning has always been the alternative to Shopify for brands that want headless-first architecture, proper B2B features and multiple storefronts on one account, without paying a transaction fee on top of the platform bill.
The reason to pull BigCommerce into a warehouse is that the platform is usually chosen by the more complicated merchants. B2B Edition adds company accounts, quote workflows, shared catalogues and negotiated price lists on top of the standard catalog, customer and order objects. Multi-storefront puts several brands, regions or DTC-and-B2B splits on one BigCommerce install with their own channels. A headless storefront (Catalyst, a custom Next.js build or another framework) pushes the order and customer events through the API rather than a hosted theme. Each of those choices leaves data scattered across channels, storefronts and supporting systems, and the native reports were not built to stitch them back together.
One view of margin, reorder and pricing across storefronts, channels and customer groups.
Keep BigCommerce in step with the ERP, PIM and retention systems around it.
Turn B2B reorder history and catalog depth into suggestions sales and ops can act on.
Internal tools on BigCommerce data for people who should not be living in the store admin.
A list of concrete reports, automations and AI features we have built on BigCommerce data. Pick the one that matches your situation.
Which B2B accounts reorder on their own and which ones need a phone call?
Reorder frequency per company account against the list price and negotiated discount. Separates the accounts that quietly keep buying from the ones whose gap since the last order is long enough to call before a competitor does.
Which storefront on the group account is carrying the business?
Profit per storefront after goods cost, fulfilment and returns, with channel and customer group visible. Surfaces the storefront running on volume without margin next to the one that is quietly paying for the group.
Is the headless build paying back the extra engineering effort?
Conversion, average order value and return rate compared between the headless storefront and any surviving hosted storefront on the same catalog. Answers whether the frontend investment is showing up in the order table, or only in the roadmap.
Margin per storefront and per customer group with goods, fulfilment and returns handled the same way, plus VAT per storefront ready for filing. Month-end stops waiting on three storefront exports and a spreadsheet reconciliation.
B2B account profitability next to negotiated price list and quote pipeline. Account managers walk into a renewal call knowing whether the account earns the discount it wants extended.
Inventory sell-through, fulfilment SLA and return rate per SKU across storefronts. The moments where a storefront slips or a SKU turns into returns show up before the service queue does.
BigCommerce orders, refunds and price-list-backed B2B invoices land in Dynamics 365 Business Central as sales documents with the correct VAT, customer group and storefront dimension. Finance closes the month against one ledger instead of three storefront exports.
BigCommerce company accounts, contacts, quotes and last-order dates push into HubSpot as companies and contact properties. B2B sales works a pipeline grounded in actual reorder cadence, and post-purchase email stops treating a quarterly reorder buyer the same as a one-off DTC shopper.
Akeneo is the source of truth for product names, attributes, variants and localised copy, and each BigCommerce storefront receives the version for its channel and locale. The B2B portal, the DTC storefront and the headless build stop drifting apart because one feed drives them all.
BigCommerce order, product and customer events flow into Klaviyo as profiles and metrics. Winback, replenishment and loyalty flows fire on actual days-since-order and average reorder interval per segment, not on a monthly list import.
You keep the reporting tool you already have. We connect it to the warehouse where your BigCommerce 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.
Yes. Company accounts, company users, shared catalogues, price lists, quotes and the buyer roles from B2B Edition come across next to the standard catalog, customer and order objects. Reports can split B2B from DTC at source rather than through a tag convention.
Each storefront on the account lands as a first-class dimension in the warehouse with its own channel identifier. Reports can stay per storefront for localisation, roll up to the group for consolidated P&L, or split DTC and B2B storefronts apart, without flattening the hierarchy.
Yes. BigCommerce exposes the same order, customer and catalog resources through its REST and GraphQL APIs whether the storefront is hosted, Catalyst or a custom headless build. The warehouse schema is the same in either case, so the frontend choice does not change how the data lands.
We review your BigCommerce setup and the systems around it. Together we pick the first thing worth building.