Power BI dashboard development

Fixed-fee Power BI dashboard development, scoped before you spend

Fixed fee Power BI dashboard development from senior US-based Microsoft engineers: we design the semantic model, write the DAX, build governed reports your leadership trusts, and handle Fabric migration when it makes sense — one written price, typical delivery in 2–4 weeks, 30 days of hypercare included.

  • Fixed-fee scoped projects
  • Senior US-based engineers
  • Typical 2–4 week delivery
  • 30 days of hypercare
Revenue Overview Revenue$4.2M Margin38% Orders12.4k Churn2.1% Monthly performance By segment 64%

Representative dashboard — sample data

What you get

Reporting your team can defend in any meeting

Every build covers the full stack behind the visuals, not just the visuals.

Semantic models done right

A clean star-schema semantic model connects your databases, spreadsheets, and SaaS tools into one refreshable source of truth instead of a tangle of one-off queries.

DAX that reconciles

Period comparisons, running totals, and ratio measures are written once, tested against numbers you already trust, and reused across every report page.

Governed reporting

Workspaces, row-level security, certified datasets, and scheduled refresh are configured so the right people see the right numbers — and only those numbers.

Decision-first report pages

Each page is designed around a decision someone actually makes, with drill-through and filters that let users answer their own follow-up questions.

Fabric migration, when justified

When scale or a retiring Premium subscription demands it, our Power BI to Fabric migration service moves your estate across — and we skip it honestly when standard capacity serves you fine.

Documentation and handover

A written record of the model, measures, and refresh setup — plus a live walkthrough — means your team is never dependent on us to keep reporting running.

How it works

Three steps from scattered data to trusted numbers

  1. 1

    Scope for a fixed price

    A free consultation captures the decisions your reports must support. We reply with a written scope, one fixed price, and a delivery date — nothing starts until you approve.

  2. 2

    Model, measure, build

    We connect your sources, shape the semantic model, write and validate the DAX, and lay out the report pages, sharing progress in short check-ins along the way.

  3. 3

    Deploy and stand behind it

    We publish to your governed workspace, reconcile the figures with you, hand over documentation, and stay on for 30 days of included hypercare after launch.

What this service actually covers

This is end-to-end report engineering: requirements gathering, data connection, semantic modeling, DAX, visual design, governed deployment, and documentation, delivered as a single scoped project. Microsoft's own Power BI documentation (opens in new tab) describes the platform's layers — data, model, report, and service — and a durable dashboard needs all four built deliberately, not just the visual layer bolted onto whatever queries were lying around.

Deliverables for a typical engagement: the report files and semantic model in your tenant, tested DAX measures, workspace and security configuration, a refresh schedule with monitoring notes, and written documentation. Timeline is typically 2–4 weeks from kickoff, stated in your scope before you commit, with 30 days of post-delivery hypercare included.

Who this is for

It fits organizations that have the data but assemble the view of it by hand: a controller rebuilding the board pack in Excel every month, an operations lead juggling exports from three systems, a leadership team that debates whose numbers are right before it can debate what to do. If reporting lives in screenshots and email attachments, a governed dashboard estate pays for itself fast.

Dashboards rarely travel alone. Teams who want the underlying data entry cleaned up often pair a build with a custom Power App that replaces the spreadsheet feeding the report, and many schedule Power Automate flows that move approvals and alerts off the same manual treadmill. For a plant floor, the same fixed-fee build scopes OEE, downtime, and throughput reporting for manufacturing, for contractors it scopes job cost, WIP, and change order dashboards for construction companies, and for a clinic or medical practice it scopes patient scheduling, utilization, and revenue-cycle reporting for healthcare, and for a mission-driven organization it scopes grant, donor, and program reporting for nonprofits. Past the dock door the same build takes a freight shape, where a Power BI consultant for logistics companies models on-time delivery, cost per mile, lane profitability and fleet utilization out of TMS, telematics and EDI data. For portfolios of leased units the same build scopes occupancy, rent roll, maintenance and NOI reporting for property management out of Yardi, AppFolio or Buildium exports and the general ledger. If your current reports live in an incumbent BI platform, our Tableau to Power BI migration service rebuilds the semantic model before the visuals move, and if they live on an on-premises report server, our SSRS to Power BI migration service republishes the RDL and paginated reports, rebuilds the subscriptions, and retires the server; and if they are .rpt files opened from a button inside your ERP, our Crystal Reports to Power BI migration service re-derives the formula fields into DAX, rebuilds the subreports, and replaces that ERP-side invocation; and if they are .qvw documents reloading against a folder of QVD extracts, our QlikView to Power BI migration service resolves the associative model into a star schema, rewrites the load script as Power Query M, and re-derives the set analysis expressions as DAX; and if they are authored against a Framework Manager package with bursts going out on a schedule, our Cognos to Power BI migration service re-expresses that package as a semantic model and rebuilds the bursting as flows. If the data never arrives anywhere clean to begin with, our Azure Data Factory pipeline development service builds the scheduled loads that feed the semantic model, and if your data platform itself needs work first, our Azure consulting service handles migration and cost optimization underneath the BI layer.

Fixed-fee project tiers

Three common shapes cover most requests. Every fee is fixed and put in writing after your free consultation — the table shows scope and typical timeline, not prices, because an honest price requires seeing your sources first.

Tier Scope Typical timeline Fee
Starter dashboard One or two data sources, a focused semantic model, core DAX measures, and a single decision-ready report with refresh configured About 2 weeks Fixed fee — scoped after your free consultation
Department reporting pack Several sources, a shared model serving multiple report pages for one department, row-level security, and user walkthroughs 2–3 weeks Fixed fee — scoped after your free consultation
Governed rollout Cross-department models, certified datasets, workspace and access governance, optional Fabric migration, and admin documentation 3–4 weeks Fixed fee — scoped after your free consultation

Whatever the tier, you own every artifact — files, model, measures, and workspace settings live in your Microsoft tenant from the first commit.

FAQ

Dashboard project questions, answered

Every project includes requirements sessions, a semantic data model, DAX measures validated against your own figures, the report pages themselves, workspace deployment with access controls, and documentation. The fee is agreed in writing before work begins, so there are no hourly meters running and no change-order surprises.

The fee reflects how many data sources we connect, how much modeling those sources need, and how many report pages you want. After a free consultation we send a written scope with one fixed price. You approve it before anything is built, and the price does not move unless the scope does.

Most dashboard projects are delivered in two to four weeks from kickoff. A single-source starter dashboard lands at the short end; multi-department reporting packs with heavier modeling take longer. Your written scope states the delivery date up front, and 30 days of post-delivery hypercare follow every launch.

Yes. We move existing Power BI estates onto Microsoft Fabric — lakehouse storage, pipelines, and Direct Lake models — when the scale or refresh demands justify it. If Fabric is not the right fit yet, we say so and build on standard Power BI capacity instead, so you never pay for platform you do not need.

You do, entirely. The report files, the semantic model, every DAX measure, and all workspace settings sit in your own Microsoft tenant from day one. Nothing is held in our environment, so your team can extend the work in-house or bring us back for the next phase whenever it suits you.

Book a free consultation

Get more from the Microsoft tools you already pay for

Tell us what you’re trying to fix — a report, an approval process, an intranet, a Copilot rollout. We scope it as a fixed-fee project, you approve, and a senior engineer delivers in 2–4 weeks.

  • Fixed-fee scope agreed before any work starts
  • Senior, US-based Microsoft engineers — no handoffs
  • Typical 2–4 week delivery
  • 30 days of post-delivery hypercare included

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