Data Panda pulls your Deputy rosters, timesheets and leave records into the same warehouse as your sales, finance and operations data. From one place we turn it into dashboards, workflows and apps that managers, finance and HR use during the week, not only at month-end when payroll closes.
Deputy was founded in 2008 in Sydney by Steve Shelley and Ashik Ahmed and grew into one of the larger workforce management platforms aimed at shift-based businesses. It is used across retail, hospitality, healthcare, services and warehousing, and the company reports more than 320,000 workplaces on the platform internationally, with offices in Sydney, San Francisco and London.
The product covers the full shift lifecycle: rostering and scheduling, time and attendance with mobile clock-in and geofencing, leave and availability, in-app team messaging, and timesheet exports to payroll. Deputy ships a long list of payroll integrations (Xero, QuickBooks, ADP, Gusto and others) so the timesheet that managers approve in the app drops straight into the pay run, instead of being keyed in twice.
For finance, operations and HR, Deputy is the source of truth for who worked which shift, where, and at what cost. The built-in reports cover the day-to-day manager view well. The questions that sit across stores, sales and the P and L (true labour cost as a share of revenue per location, overtime trends per team, no-show patterns by day-part, schedule adherence per manager) need the Deputy data next to point-of-sale, ERP and HR data. Our connector pulls employees, locations, areas, schedules, timesheets and leave into the warehouse so those joins stop being a weekly copy-paste.
Labour cost, overtime, schedule adherence and leave in one place, joined to revenue and operations data.
Turn shifts, leave and timesheets into the right downstream work instead of a Monday morning checklist.
Put rosters, timesheets and footfall behind AI that sees demand and labour together.
Lightweight ops tools that sit on your Deputy data instead of another SaaS subscription.
A list of concrete reports, automations and AI features we have built on Deputy data. Pick the one that matches your situation.
What does a shift really cost us once we add overtime and on-costs?
Wage cost per shift in Deputy joined to the employee's contract rate, overtime rules and employer on-costs, totalled per location, role and day-part. Operations sees which day-parts and stores quietly run above plan instead of finding out four weeks later when payroll is closed and the variance is in the GL.
Where is overtime piling up, and why?
Overtime hours per team, manager and pay period, with the shifts and reasons that drove them: a no-show that someone covered, a roster that was already short, a recurring break that gets skipped. Patterns surface per location and weekday so the fix is structural, not a Monday morning conversation with one manager.
Are our rosters matching the day's revenue?
Rostered hours from Deputy joined to POS revenue per fifteen-minute window, per location, so you see when peak hours are under-staffed and quiet windows over-staffed. The roster template stops being last year's gut feel and starts being a number that operations and finance can argue from.
Wage cost, overtime and leave commitments reconciled against the GL and the budget per location. You see which stores run above plan before payroll closes, not after.
Staffing patterns set next to revenue per location and day-part. You see which shifts under-cover the peak and which over-cover the quiet hours, week by week.
Schedule adherence, no-shows, open-shift fill time and overtime in one operations picture. The Monday review stops being a stack of single-store screenshots.
Approved Deputy timesheets feed directly into the Xero pay run with the right earnings categories, leave types and on-costs per employee, instead of a CSV that someone re-formats the morning of payroll. Variances against the budget per location are visible the moment the timesheet is approved, not after the run is finalised.
Deputy timesheets, leave and on-costs feed QuickBooks Online so the wage line in the P and L matches the schedule that ran, per location and per cost centre. Finance closes the month against the same numbers operations saw on the day, instead of reconciling two truths.
Wage and overtime data from Deputy lands in Exact Online against the right cost centre and project per location, so the labour line in the monthly P and L is split the way operations runs the business. Variances against budget surface per location and per week, not as one aggregated number at month-end.
Hourly Shopify revenue per store joined to Deputy rosters shows which day-parts are under-staffed against demand and which run heavy. The roster template gets retuned per location and weekday, instead of running on the same shape every quarter regardless of how the trade has shifted.
POS revenue per fifteen-minute window from Lightspeed Retail joined to Deputy rosters and clock-ins gives store managers a labour-to-revenue picture for the day, not a month later. Sunday-morning staffing is cut where the till is quiet, and added where the queue runs at lunch, with the numbers to back it.
No-shows, open shifts past their fill window, overtime tipping over the weekly cap and a manager pending more than three timesheet approvals in Deputy push the right Slack messages to the right channel. The store manager fixes a roster gap before lunch starts, instead of hearing about it at the close-out review.
You keep the reporting tool you already have. We connect it to the warehouse where your Deputy 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.
The connector pulls the core entities you need for workforce reporting: employees, locations and areas, schedules and shifts, timesheets, leave requests and leave types, public holidays per region and the rate cards used to cost shifts. That is enough to rebuild labour cost, schedule adherence and overtime metrics next to POS, ERP and HR data without a custom API job.
Yes, and the warehouse sits next to them rather than replacing them. Deputy keeps pushing approved timesheets into Xero, QuickBooks, ADP, Gusto or whichever payroll system you run, and we read those same approved timesheets into the warehouse so finance can reconcile labour cost against the GL, the budget and the day's revenue. The pay run stays where it is; the reporting picture gets a lot wider.
Locations and areas in Deputy land in the warehouse with their hierarchy, so you can roll labour cost and schedule adherence up from a single area to a store to a region to the network. Reports filter on the same hierarchy, instead of every store running its own spreadsheet with a slightly different format.
We review your Deputy setup and the systems around it. Together we pick the first thing worth building.