Data Panda brings your Planday rota, time-clock and leave data together with the rest of your business. From one place we turn it into dashboards, automations, AI workflows and custom apps your operations, finance and people teams use every day.
Planday is a workforce-management platform for hourly shift teams, today part of the Xero group. Customers run hospitality groups, retail chains, healthcare and care providers, fitness operators and entertainment venues, with localised support across the UK, the Nordics, Germany, France, Italy, Spain and the rest of Europe.
For ops, finance and people leaders, Planday is the system of record for everything that happens around a shift: rotas per site and department, employee profiles and contracts, clock-ins and clock-outs from the mobile app, leave requests and balances, shift swaps, scheduled versus actual hours, overtime and the labour-cost lines that follow from them. The built-in reports answer the day-to-day. The harder questions, like how labour cost percentage moved against revenue per site this month, where forecast accuracy on covers versus shifts is leaking margin, or which managers consistently publish rotas late, sit across Planday, the POS and the accounting ledger. Pulling Planday into a warehouse is how those answers stop being a Monday-morning Excel.
Labour cost, overtime, no-shows and forecast accuracy joined to revenue per site and per day-part.
Turn shift, clock and leave events into the right downstream work, instead of a manager email.
Use shift, leave and revenue history to forecast demand and tighten the rota.
Small ops, finance and people tools that sit on Planday data instead of another spreadsheet.
A list of concrete reports, automations and AI features we have built on Planday data. Pick the one that matches your situation.
What is our labour cost percentage doing per site this month?
Worked hours from Planday valued at the right contract rate, divided by POS revenue per site and day-part. Site managers see which day-parts blow past target labour percentage early in the week, instead of finding out from a finance email after the close.
How accurate is our shift forecast against the covers we ran?
Scheduled hours per site, day and hour-block compared to revenue or covers from the POS, with the bias broken out per manager. The pattern of consistently overstaffing the slow Tuesdays and understaffing Saturday lunch becomes visible before the next quarter's labour budget conversation, not after.
Which managers are publishing the rota too late?
Lead time between rota publication and the week it covers, per manager and per site, with edits made after publish counted separately. Operations sees which sites consistently publish under the seven-day mark and what it costs in last-minute swaps, overtime and no-shows.
Labour cost broken out per site, contract type and day-part, reconciled with payroll and POS revenue. Overtime and unsocial-hours premium are visible during the period, not in a payroll surprise the week after.
Sales per labour hour next to the rota that produced them, per site and day-part. Commercial leads see which sites convert footfall to revenue with the same labour budget and which ones leave money on the table at the same headcount.
Forecast versus actual hours, no-show rate and rota publish lead time per site on one dashboard. The Monday call is about which managers need help next week, not about whose export is right.
Approved hours, overtime and unsocial-hours premium from Planday land in Xero as the right pay items per employee and per pay period, split per site and cost centre. Payroll runs on the data the rota produced, not on a manual reclass the day before submission, and the labour-cost number on the management report matches what hits the bank.
Planday shifts and worked hours per site and day-part are joined to the rooms sold, F&B covers and arrival pattern Mews already records. Hotel ops sees labour cost percentage per outlet against actual demand, and revenue managers see whether the rota for next week is sized for the pickup curve they are looking at.
Worked kitchen hours from Planday per site and day-part are joined to the assortment Apicbase has live and the theoretical food cost behind it. F&B leaders see whether the labour behind a menu carries the margin the menu engineering promised, and the closing weeks where labour creeps over plan stop hiding behind a healthy theoretical food cost.
New open shifts, last-minute swaps and approved leave from Planday drop into the matching site or department channel in Slack, with the relevant manager pinged on changes that affect tomorrow. Site leads stop chasing covers in a separate WhatsApp thread, and the audit trail of who picked up which shift sits next to the rota that produced it.
These are the 3 tables we currently pull from Planday into your warehouse. Query them directly in SQL, join them to the rest of your stack, or build reports on top.
Missing a table you need? We can extend the sync. Tell us what is missing and we will build it for you.
You keep the reporting tool you already have. We connect it to the warehouse where your Planday 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.
Each Planday department and site lands in the warehouse with its own identifier, contract setup and pay rules preserved. Group reporting joins them on shift date, role and cost centre, so labour cost percentage, overtime and forecast accuracy at group level become a single query rather than a stitch of per-site exports.
Planday already pushes approved hours into payroll providers like Xero. The warehouse copy is the audit and reporting layer alongside that: hours by employee and pay item are visible per site and per period, so the labour-cost number on the management report ties back line by line to what payroll ran. The handoff stays in Planday; the reporting moves up a level.
Yes. The connector exposes shifts, worked hours and labour cost as warehouse tables that join cleanly to whichever POS your sites run, on date, site and hour-block. Sales per labour hour and labour cost percentage stop being two separate spreadsheets and become a single dashboard the operations and finance teams look at together.
We review your Planday setup and the systems around it. Together we pick the first thing worth building.