We build Power BI writeback solutions on Microsoft Fabric using Translytical Task Flows – so your team can edit plans, reschedule tasks, and approve records directly inside the report they’re already looking at. Native to Power BI, governed by Fabric, and built to keep running in production – not just in a demo.
Your reports show the problem. They don’t let anyone fix it.
Power BI is built to read data, not write it. The moment someone needs to update a forecast, reschedule a task, or approve a record, they leave the report – and the report stops being the single source of truth. Translytical Task Flows on Microsoft Fabric close that gap natively. The question is whether the writeback logic is built well enough to trust in production.
Plans and forecasts frozen at last export
A number gets updated in a spreadsheet, but the report still shows last month’s figure. Someone has to remember to re-import it, and until they do, every decision made from the dashboard is based on stale data.
Schedule changes happen outside the schedule
A task shifts by two days, a resource gets double-booked, and nobody notices until it shows up as a conflict a week later. The report that was supposed to catch this can only display the plan – it can’t let anyone adjust it and see the knock-on effect in real time.
Approvals and corrections live in email, not in the record
Someone approves a budget line by replying to an email. The report never reflects it. When the auditor asks who approved what and when, the answer isn’t in the system – it’s in someone’s inbox.
Writeback we build for our clients.
We specialise in Power BI writeback on Microsoft Fabric – specifically Translytical Task Flows and Fabric User Data Functions. That means the write path is native to the platform your report already runs on, not a bolt-on tool with its own separate data store to maintain. From a single editable field to a fully interactive scheduling visual, we build the flow end to end: the trigger, the validation logic, the write, and the refresh back into the report.
Translytical Task Flows & Fabric User Data Functions
The native Microsoft path for writeback: a control in your report triggers a Fabric User Data Function, which validates the input and writes to Fabric SQL Database, a Fabric Warehouse, or a Fabric Lakehouse. No separate middleware to host, no separate identity system to manage – it runs on the Fabric tenant you already have. Typical flows include:
- Editable field writeback – a value entered directly in a report visual is validated and written to the underlying Fabric SQL Database
- Approval status update – an approve/reject action in the report writes a decision, timestamp, and approver back to the record
- Conditional writeback – the destination table or validation rule changes depending on the value entered (e.g. amounts above a threshold get flagged for review)
- Bulk update flows – a single action applies a change across multiple selected rows, with per-row validation
Custom Writeback Visuals
Some use cases need more than a button and a text field – they need direct manipulation. We build custom Power BI visuals with drag-and-drop interaction that call Fabric User Data Functions on every change, giving users real-time feedback before anything is written. Typical builds include:
- Interactive Gantt scheduling – drag a task to reschedule it, resize it to change duration, and see resource conflicts highlighted live as you drag, before the change is even saved
- Grid-style planning visuals – edit budget or forecast figures directly in a matrix, with totals recalculating as you type
- Comment and annotation capture – attach a note to any data point directly from the visual, written back with the user and timestamp
Validation & Governance
Every write goes through server-side validation inside the Fabric User Data Function – not just a check in the visual that can be bypassed. Row-level security is respected, every change is timestamped, and rejected writes return a clear reason instead of failing silently. Common patterns include:
- Business-rule validation before any write is committed (e.g. no double-booking a resource, no negative budget lines)
- Audit logging of who changed what, when, and from which report
- Automatic refresh of the semantic model after a successful write, so every viewer sees the update immediately
Hur det fungerar.
1. Architecture & Fabric Readiness
Before writing any code, we confirm what your Fabric tenant already supports, where the target data should live (Fabric SQL Database, Warehouse, or Lakehouse), and what the validation rules need to cover. This is documented and agreed with you before development starts. A writeback flow built on unclear rules produces unreliable data.
2. Bygga och testa
We build the User Data Function, the report-side trigger, and – where needed – the custom visual, then test them against your Fabric environment with realistic data. We test the happy path and the edge cases: concurrent edits to the same record, a write that fails validation, a network drop mid-save. Most production writeback failures come from exactly these scenarios.
3. UAT och godkännande
You test the flow against real scenarios from your day-to-day reporting. We fix any issues, document known limitations, and confirm validation and refresh behaviour are working as agreed before sign-off.
4. Överlämning och dokumentation
Full handover including a written description of each function’s inputs, validation logic, and write target – clear enough for your team to understand and maintain without needing us. Includes 3 months of defect remediation. Ongoing support available as a retainer.
What our clients write back.
Interactive Task & Resource Scheduling
A planner drags a task in a Gantt visual to a new date. As they drag, overlapping bookings on the same resource are highlighted immediately. On drop, a Fabric User Data Function validates the new schedule against every other booking for that resource and writes the change to Fabric SQL Database. If a genuine conflict exists, the write is rejected with a clear reason instead of silently corrupting the plan.
Budget & Forecast Editing
A finance lead adjusts a forecast figure directly in a Power BI matrix. The change is validated against the approved budget envelope and written to the underlying Fabric Warehouse. Every other viewer of the report sees the updated number on next refresh – no export, no re-import, no separate planning tool.
Arbetsflöden för godkännande
A request appears in a report with Approve / Reject controls. Approving triggers a Fabric User Data Function that writes the decision, the approver, and a timestamp back to the record, and updates the status visible to everyone downstream. The full decision history lives in the same table the report reads from.
Data Correction at the Source
A user spots an incorrect value while reviewing a report and corrects it on the spot, instead of raising a ticket and waiting for someone else to fix it upstream. The correction is validated and written directly to the Fabric-backed source table.
Comments & Annotations
A reviewer attaches a note to a specific data point – an explanation for a variance, a flag for follow-up. The comment is written back with the user and timestamp, and shows up for the next person who opens the same report.
Transparent prissättning.
Vi arbetar enligt principen Time & Material. Du betalar för faktiskt arbetade dagar till ett fast dagspris. Inga överraskningar med fasta priser, ingen omfattning som ökar utan ditt godkännande.
| Flödestyp | Typisk omfattning | Indikativ kostnad (netto) |
|---|---|---|
| Single editable field or approval action | 2–4 days | €1.600–€3.200 |
| Custom writeback visual (e.g. interactive Gantt with conflict detection) | 6-12 dagar | €4.800–€9.600 |
| Dagspris | från €800/dag (netto) - 100% fjärrkontroll | |
Writeback is often part of a larger Power BI eller Fabric uppdrag - kombinerade uppdrag drar nytta av ett enda dagspris för hela omfattningen.
We needed users to reschedule production tasks directly in the report and see conflicts immediately – not export to a spreadsheet and email it around. What we got was a Gantt view where dragging a task shows the clash before you even let go of the mouse, and it’s still running in production without issues months later.
— Operations Lead, Manufacturing, Germany
Why us?
Fabric-native, by design
We build exclusively on Translytical Task Flows and Fabric User Data Functions rather than routing writes through a separate third-party data store. That means your data stays inside the Fabric tenant you already govern, secure, and pay for – no additional platform to license, no separate system holding a copy of your data.
Vi hanterar de svåraste fallen
A writeback flow that works in a five-minute demo often breaks the first time two people edit the same record, or a write fails halfway through. We build server-side validation, conflict handling, and clear failure messages into every function, so that when something goes wrong – and it will – the user sees why, instead of a silent, corrupted write.
Specialists, not generalists
Writeback on Power BI and Fabric is what we do. We’re not a general BI consultancy that occasionally builds a writeback flow – this is our core specialisation, from the simplest editable field to fully custom drag-and-drop visuals with live validation.
Vanliga frågor och svar.
Do we need a Microsoft Fabric licence?
Yes – Translytical Task Flows run on Fabric User Data Functions, which require a Fabric capacity (a trial capacity is enough to get started). We confirm your current licensing and tell you upfront if anything additional is needed before we start building.
Which data sources can writeback target?
Fabric SQL Database, Fabric Warehouse, and Fabric Lakehouse are the supported write targets. If your data currently lives elsewhere, we’ll advise on the most practical way to bring it into Fabric as part of the project scope.
Can you build a custom visual with drag-and-drop, like a schedulable Gantt chart?
Yes – this is one of our most requested builds. Users drag a task to reschedule or resize it, see conflicts highlighted immediately as they drag, and the change is validated and written back the moment they release it.
What happens if a write fails?
The Fabric User Data Function returns a clear reason for the failure – a validation rule that wasn’t met, a conflicting change, a permissions issue – rather than failing silently. The user sees the reason in the report immediately.
Kan ni dokumentera flödena så att vi själva kan underhålla dem?
Yes. Every engagement includes written documentation of each function’s inputs, validation logic, and write target, in plain language. Your team should be able to understand what a function does and make minor adjustments without needing to call us.
How long does a writeback project take?
A single editable field or approval action typically takes 2–4 days including testing and documentation. A custom writeback visual with live validation, such as an interactive Gantt chart, usually takes 6–12 days depending on complexity. We give you a written scope before starting.
Often combined with Power BI writeback.
Power BI-rådgivning
Writeback is only as useful as the model it feeds. We design the semantic model and DirectQuery setup that keeps your report in sync the moment a write goes through.
Microsoft Fabric
Translytical Task Flows depend on a well-structured Fabric environment. Where the underlying Fabric SQL Database, Warehouse, or Lakehouse isn’t ready yet, we set that up as part of the same engagement.
Power Automate
Some writeback events should trigger a downstream process – a notification, an approval chain, a status update elsewhere in Microsoft 365. We connect Fabric writeback events to Power Automate flows where that’s needed.
Ready to make your reports writable?
Tell us what needs to be editable – a field, an approval, a whole scheduling view – and we’ll come back with an indicative scope and estimate within 24 hours.
Eller mejla oss direkt på info@leaplytics.de
Relaterade tjänster: Power BI-rådgivning - Microsoft Fabric - Power Automate - Power Apps