Data Panda brings your mWorker hours, projects, expenses, forms, resource plans and shared documents together with the data from the rest of your business. From one place, we turn it into dashboards, automations, AI workflows and apps your operations, finance, payroll and project teams use every day.
mWorker is a Norwegian field workforce platform built by Devinco AS in Trondheim, aimed at construction firms, installers and trades-based businesses that have crews working on multiple projects at the same time. The product covers the day of a field worker end to end: clock in and out per project from a phone or tablet, register hours and expenses against the right project code, fill in digital forms and checklists for safety or quality, share drawings and documents with the crew, and let the office plan resources across projects from a web portal. The mobile app works offline so crews on a roof or in a basement can register hours and submit forms without a signal, and the data syncs back when the device is online.
The reason to pull mWorker into a warehouse is that the hour, the project and the expense are registered at the source by the person doing the work, which makes per-project labour cost and per-project margin honest numbers instead of a back-office reconstruction. Hours per project sit next to budgeted hours, expenses per project sit next to the purchase invoice, and crew load rolls up per week per location. Put that next to the accounting system, the ERP and the CRM, and you stop arguing about whether a project ran over because the scope changed or because the crew lost three hours a day to travel. You start reviewing which project types consistently overrun, which foremen land within the hour budget, and which expense categories quietly eat the margin on every job.
Approved hours and expenses per project from mWorker post into Exact Online as journal entries against the right project code and cost centre, ready for invoicing or payroll. The bookkeeper stops re-typing weekly timesheets per crew, and the project margin in Exact reflects the hours that were clocked on the jobsite that week instead of an estimate at month-end.
Project codes, budgets, hours and expenses flow between Business Central and mWorker so the field crew clocks against the same project structure that finance invoices on. WIP per project, planned versus actual hours and pass-through expenses sit in Business Central by the next morning, instead of three days later when the office has manually re-entered the timesheets.
Worker profiles, contract hours, leave and absence in HiBob land next to clocked hours, overtime and project allocations from mWorker. HR sees who is consistently overrunning contract hours per week, payroll closes the period with one reconciled hours-per-employee view, and the foreman stops getting calls about a leave day that mWorker still counted as worked.
An hour budget that crosses 80 percent on a running project, a safety form submitted with a flagged answer or a missing punch-out at end of shift posts into the right Slack channel with the project code and a deep link back into mWorker. The project manager reacts in the channel where the team already lives instead of refreshing the mWorker portal tab.
A safety incident logged in mWorker, a punch missed on a job or an expense flagged for review opens a monday.com item on the right project board, prefilled with project, foreman, worker and a link to the mWorker record. Operations sees follow-up tied to the jobsite event that triggered it, instead of foremen writing notes on paper that get lost between sites.
Confirmed quotes and won deals in HubSpot land next to actual clocked hours, expenses and form completions from mWorker for the same project. Sales sees which job types consistently land within the quoted hours and which ones drift, and the project manager stops being surprised by a fixed-price quote that priced the work at half the hours the crew needs.
These are the 25 tables we currently pull from mWorker 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 mWorker 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 mWorker setup and the systems around it. Together we pick the first thing worth building.