Microsoft Power BI Consulting Services

We do not publish rates, because a rate card tells you nothing useful before anyone has looked at your data. Four things move the number: how many source systems have to be joined, how clean the data in them is, how much existing report logic has to be reverse engineered, and whether you need us to run it afterwards or hand it over.

What we do commit to is this. After a scoping conversation and a look at your environment, you get a written, fixed quote for a defined scope, with the assumptions listed. If the scope changes, we tell you before the work happens, not on the invoice. A short assessment is the cheapest way to get a real number, and it is not a sales exercise.

A focused build on one clean source, delivering a working report set, typically runs four to eight weeks. A migration off Tableau, Cognos or SSRS with several hundred legacy reports runs longer, mostly because deciding which reports still matter takes longer than rebuilding them.

The first model reconciled against your source system usually lands in weeks two to four. That is the point where most teams stop arguing about whose number is right, and it is worth reaching early.

Modeling is where reporting is won or lost. The work covers designing a star schema with clean fact and dimension tables, setting relationship direction and cardinality correctly, building a date table that supports the time comparisons your business actually uses, writing DAX measures once so every report inherits the same definition of revenue or margin, and configuring incremental refresh so you are not reloading history every night.

It also covers the unglamorous parts: naming standards, hiding technical columns from report authors, documenting each measure in plain language, and marking the dataset as certified so people know which one to build on. We check the result with Tabular Editor, DAX Studio and the Best Practice Analyzer before it goes anywhere near production.

Yes, and it is the reason many clients come to us rather than a pure BI shop. We work across Dynamics 365 Sales, Customer Service, Field Service, Finance and Supply Chain, Business Central, Dataverse and the Power Platform every day. When a number looks wrong in a report, we can follow it back into the system that produced it instead of raising a ticket with a different vendor.

It also changes what is worth building. Knowing how Business Central posts its ledger entries, or how Dynamics 365 handles opportunity state changes, decides how the model should be shaped. A reporting specialist without that background will model what the tables look like rather than what the business means.

Partly, and it is worth being precise about the boundary before you buy Power BI automation services. Power BI itself handles scheduled refresh, email subscriptions, and data-driven alerts when a metric crosses a threshold. That covers most of what people mean when they ask for automated reporting.

When the requirement goes beyond delivering a report, Power Automate takes over: create a task when inventory drops below a level, post to a Teams channel when a target is hit, route an approval when a variance appears. We build both, and the useful distinction is that Power BI tells you something changed while Power Automate does something about it.

Often not yet. Fabric matters when you have real data engineering needs: multiple large sources, a lakehouse pattern, or streaming data. If your reporting runs off a handful of business systems and a SQL database, a well-designed Power BI semantic model will serve you well and cost less.

Where Fabric does earn its place, we would rather move you in stages than rebuild everything at once. The semantic model you have is the asset. Fabric changes what sits underneath it, and a good model survives that change.

The rebuild is rarely the slow part. Deciding what to rebuild is. A typical migration spends the first two to three weeks on a usage audit: which reports were opened in the last ninety days, by whom, and which are duplicates of each other. Most estates shrink substantially at this stage, and that is the single biggest lever on both timeline and cost.

After that, expect the rebuild to run in waves by business area rather than as one cutover, with the legacy platform staying live until each wave is reconciled and signed off. For a mid-market estate, plan in months rather than weeks, and plan the license overlap into the budget so nobody is forced into a cutover by a renewal date.