Data Panda brings your FreshBooks 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.
FreshBooks is a cloud accounting platform built around invoicing, time tracking, expenses, projects and double-entry books for self-employed professionals, freelancers and small services teams, with a strong base in North America and the UK. The product covers recurring invoices and retainers, client portals, online payments through Stripe and the FreshBooks payments rail, and the standard P&L, balance-sheet and tax reports an SMB needs at year end.
In a warehouse, the FreshBooks ledger sits next to the rest of your stack: the CRM that won the project, the support tool that absorbed the scope creep, the time-tracking detail behind every billable line, the payments gateway that settled the invoice. Project margin, retainer health and recurring-revenue trends become a live view across all of those, instead of a quarterly export from FreshBooks that the bookkeeper reconciles by hand.
Project margin, retainer status and AR aging on one view, refreshed daily.
Let the CRM, payments and support tools post into FreshBooks without keying twice.
Use FreshBooks history to score risk, classify expenses and forecast cash.
Internal tools on FreshBooks data for project leads, finance and the founder.
A list of concrete reports, automations and AI features we have built on FreshBooks data. Pick the one that matches your situation.
Which projects are quietly losing money?
Tracked hours, expenses and invoiced revenue from FreshBooks land in the warehouse together with the project metadata. Project margin shows up per client per month, with the over-budget projects flagged before the invoice is sent, not after the year-end review.
Are our retainers still healthy?
Hours used per retainer are compared against hours sold per period. Clients drifting over their cap show up early, with the trend line per client and the over-cap value at retail rates, so the renewal conversation has numbers in it.
Where is the cash really coming in?
FreshBooks payment events sit next to the Stripe and bank data in the warehouse. Invoice-to-paid lag, payment-method mix and Stripe fees per client become a single view, so the founder sees the real cost of taking card payments on the slow-paying accounts.
Project margin, retainer health and AR aging on one view, with FreshBooks invoices, Stripe settlements and supplier bills aligned. Month-end becomes a review, not a reconciliation marathon.
Per-client payment history and retainer status visible at the moment of the renewal conversation. New scope is sold against what the client really pays for, not against the original quote.
Tracked hours per project tied back to the billable-hours mix and write-offs. Project leads see which engagements are eating the team's week, before it shows up as a slimmer invoice.
Stripe payouts are matched to the FreshBooks invoices they paid, with fees split out per charge and per currency. The founder sees net cash per invoice and per client, not a weekly Stripe lump that a bookkeeper has to break apart by hand.
Closed-won HubSpot deals create FreshBooks projects with the right client, scope and rate, and prepare the first invoice or retainer profile. Sales sees FreshBooks payment history on the HubSpot record before quoting net-30 to a client who already pays in 60.
For services firms that also sell a product line through Shopify, orders land in FreshBooks as sales entries with the right tax code, refunds flow back as credit notes, and Shopify customers map to FreshBooks clients. Product revenue and project revenue end up in the same P&L without a monthly bookkeeper export.
Retainers crossing their hours threshold, invoices passing 30 days overdue, and projects going over budget post into a Slack channel with the client name and the open amount. The team finds out the day it happens, not at the next month-end review.
You keep the reporting tool you already have. We connect it to the warehouse where your FreshBooks 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. Each FreshBooks account lands in its own schema with a shared client and chart-of-accounts dimension on top. Founders running more than one entity on FreshBooks get per-entity reporting and a consolidated view at group level.
Yes. Time entries, projects and the link back to invoices come across as first-class fields. Project margin can be computed in the warehouse from tracked hours, expenses and invoiced revenue, instead of needing the FreshBooks profitability report as the only source.
We review your FreshBooks setup and the systems around it. Together we pick the first thing worth building.