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We build Power BI writeback solutions on Microsoft Fabric using Translytical Task Flows \u2013 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 \u2013 not just in a demo.<\/p>\n
\u0637\u0644\u0628 \u062a\u0642\u062f\u064a\u0631<\/a><\/p>\n <\/p>\n 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 \u2013 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.<\/p>\n 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.<\/p>\n 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 \u2013 it can’t let anyone adjust it and see the knock-on effect in real time.<\/p>\n 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 \u2013 it’s in someone’s inbox.<\/p>\n <\/p>\n We specialise in Power BI writeback on Microsoft Fabric \u2013 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.<\/p>\n 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 \u2013 it runs on the Fabric tenant you already have. Typical flows include:<\/p>\n Some use cases need more than a button and a text field \u2013 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:<\/p>\n Every write goes through server-side validation inside the Fabric User Data Function \u2013 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:<\/p>\n <\/p>\n 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.<\/p>\n We build the User Data Function, the report-side trigger, and \u2013 where needed \u2013 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.<\/p>\n 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.<\/p>\n Full handover including a written description of each function’s inputs, validation logic, and write target \u2013 clear enough for your team to understand and maintain without needing us. Includes 3 months of defect remediation. Ongoing support available as a retainer.<\/p>\n <\/p>\n 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.<\/p>\n 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 \u2013 no export, no re-import, no separate planning tool.<\/p>\n 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.<\/p>\n 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.<\/p>\n A reviewer attaches a note to a specific data point \u2013 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.<\/p>\n <\/p>\n \u0646\u062d\u0646 \u0646\u0639\u0645\u0644 \u0639\u0644\u0649 \u0623\u0633\u0627\u0633 \u0627\u0644\u0648\u0642\u062a \u0648\u0627\u0644\u0645\u0648\u0627\u062f. \u0623\u0646\u062a \u062a\u062f\u0641\u0639 \u0645\u0642\u0627\u0628\u0644 \u0623\u064a\u0627\u0645 \u0627\u0644\u0639\u0645\u0644 \u0627\u0644\u0641\u0639\u0644\u064a\u0629 \u0628\u0633\u0639\u0631 \u064a\u0648\u0645\u064a \u062b\u0627\u0628\u062a. \u0644\u0627 \u062a\u0648\u062c\u062f \u0645\u0641\u0627\u062c\u0622\u062a \u0628\u0633\u0639\u0631 \u062b\u0627\u0628\u062a\u060c \u0648\u0644\u0627 \u0632\u062d\u0641 \u0641\u064a \u0627\u0644\u0646\u0637\u0627\u0642 \u062f\u0648\u0646 \u0645\u0648\u0627\u0641\u0642\u062a\u0643.<\/p>\nYour reports show the problem. They don’t let anyone fix it.<\/h2>\n
Plans and forecasts frozen at last export<\/h3>\n
Schedule changes happen outside the schedule<\/h3>\n
Approvals and corrections live in email, not in the record<\/h3>\n
Writeback we build for our clients.<\/h2>\n
Translytical Task Flows & Fabric User Data Functions<\/h3>\n
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Custom Writeback Visuals<\/h3>\n
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Validation & Governance<\/h3>\n
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\u0643\u064a\u0641 \u064a\u0639\u0645\u0644.<\/h2>\n
1. Architecture & Fabric Readiness<\/h3>\n
2. \u0627\u0644\u0628\u0646\u0627\u0621 \u0648\u0627\u0644\u0627\u062e\u062a\u0628\u0627\u0631<\/h3>\n
3. \u0627\u062e\u062a\u0628\u0627\u0631 \u0627\u0644\u062a\u0634\u063a\u064a\u0644 \u0627\u0644\u062a\u062c\u0631\u064a\u0628\u064a \u0648\u0627\u0644\u062a\u0648\u0642\u064a\u0639<\/h3>\n
4. \u0627\u0644\u062a\u0633\u0644\u064a\u0645 \u0648\u0627\u0644\u062a\u0648\u062b\u064a\u0642<\/h3>\n
What our clients write back.<\/h2>\n
Interactive Task & Resource Scheduling<\/h3>\n
Budget & Forecast Editing<\/h3>\n
\u0633\u064a\u0631 \u0639\u0645\u0644 \u0627\u0644\u0645\u0648\u0627\u0641\u0642\u0629<\/h3>\n
Data Correction at the Source<\/h3>\n
Comments & Annotations<\/h3>\n
\u062a\u0633\u0639\u064a\u0631 \u0634\u0641\u0627\u0641.<\/h2>\n