Data Panda brings your QuickBooks 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.
QuickBooks is Intuit's accounting product family for small and mid-sized businesses. Intuit was founded in 1983 in Mountain View by Scott Cook and Tom Proulx, and shipped the first QuickBooks in 1992 on the Quicken codebase. Today the line has two main shapes: QuickBooks Online, the cloud subscription Intuit pushes new customers toward, and QuickBooks Desktop in its Pro, Premier, Accountant and Enterprise editions, still anchored on a local company file with multi-user access.
The product is the de-facto SMB accounting standard in the US, with strong bases in Canada, the UK, Ireland and Australia. Around it sits one of the largest accounting app stores in the market for the Online flavour, and a long catalogue of third-party Desktop add-ons. We land the QuickBooks ledger from either flavour, plus the neighbouring CRM, e-commerce and payment systems, in your warehouse together. Customer-aging, project margin and the cash position become a live view across the whole stack instead of a month-end export from each company file that someone reconciles by hand.
Revenue, AR aging, cash and project margin on one daily view, across Online and Desktop entities.
Let your CRM, commerce and payments systems post into QuickBooks without keying twice.
Use QuickBooks history to score risk, classify bills and forecast cash.
Internal tools on QuickBooks data for the controller, sales lead and the founder.
A list of concrete reports, automations and AI features we have built on QuickBooks data. Pick the one that matches your situation.
We run QuickBooks Online in some entities and QuickBooks Desktop in others. Can we get one view?
Yes. Both flavours land in the warehouse with a shared customer, vendor and chart-of-accounts dimension on top. The group AR-aging, P&L and cash view sit on the consolidated layer, so the controller stops switching company files to answer one question.
We're planning a Desktop-to-Online migration. Does this connector help during the cut-over?
It does. Desktop and Online run in parallel for the migration window, both syncing into the warehouse, so the same AR-aging and revenue numbers can be reconciled between the two before the old company file is retired. The cut-over becomes a verified switch instead of a leap with a blackout day.
Where is the cash going to be in the next 13 weeks?
Open AR with each customer's actual paying-rate, plus recurring invoices and AP due dates from QuickBooks, drive a rolling 13-week cash view. The founder sees a likely-paid date per invoice, not just the original due date, so the next hire or supplier-prepay decision has a real number behind it.
AR aging, AP due-date stack and bank-reconciliation status on one view, across Online and Desktop company files. Month-end becomes a review, not a reconciliation marathon spread over multiple QuickBooks instances.
Customer payment history and credit status visible at the moment of the deal, not after the contract is signed. New net-30 quotes are checked against the customer who already pays in 60.
Class, location and project detail tied to QuickBooks Payroll and inventory items. Operations sees which lines are absorbing labour and stock, before it shows up as a slimmer margin number.
Stripe payouts are matched to the QuickBooks invoices they paid, with fees split per charge and per currency, and refunds posted as credit notes against the original invoice. The controller sees net cash per invoice and per customer, in either the Online or the Desktop ledger, instead of a weekly Stripe lump that has to be broken apart by hand.
Closed-won HubSpot deals create QuickBooks customers with the right billing address and tax setup, and prepare the first invoice or recurring profile against the agreed line items. Sales sees the QuickBooks payment history on the HubSpot record before quoting net-30 to a customer who already pays in 60.
Salesforce accounts and closed-won opportunities create the matching QuickBooks customer and invoice, in the right entity and with the right line items. Account executives see the QuickBooks AR aging and credit status on the Salesforce record, so the next renewal call lands with the actual payment behaviour in front of them.
Invoices that cross 30 or 60 days overdue, vendor bills approaching the due date and bank-feed mismatches drop into the right Slack channel with the customer or vendor name and the open amount. The collections lead and the controller act on the day, instead of finding it in a weekly export.
Projects in monday.com are mapped to QuickBooks customers, classes or projects, with logged hours and approved bills posted against them. The project lead sees QuickBooks revenue, cost and margin per project on the monday board, instead of asking finance for a status export at month-end.
Mailchimp audiences are segmented on actual QuickBooks revenue, payment behaviour and product mix, not just on form submissions. The marketing lead can run a renewal nudge at the customers with open AR over 30 days, or an upsell at the ones who paid on time and bought twice.
You keep the reporting tool you already have. We connect it to the warehouse where your QuickBooks 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.
We review your QuickBooks setup and the systems around it. Together we pick the first thing worth building.