Power BI costs: calculate the full cost of reporting
Calculate Power BI costs beyond licences. Compare maintenance, capacity, support and migration effort before deciding which reports to keep or replace.
By Auke Westra
Founder of DigiData
Short answer
Power BI costs include licences or capacity plus the people and infrastructure needed to prepare data, maintain models, manage access and support reports. Build a twelve-month estimate from your actual contracts and recorded work. Compare that with keeping, simplifying or replacing specific reports. A lower subscription price is not a saving if rebuilding calculations, running both tools and retraining users cost more than the change removes.
Start with the reporting service you actually use
A licence invoice is easy to compare. A reliable management report also needs source connections, business definitions, access management and someone who fixes it when a source changes. Include that work when assessing Power BI costs.
The purpose of this exercise is a decision about your own reports. An established model serving many teams may justify its maintenance cost. A small set of weekly operational views may have different requirements. The Power BI alternative comparison covers product fit; this guide shows how to build the cost estimate.
List the costs without counting them twice
Use a twelve-month period and record the owner and evidence for each line:
- Licences and capacity from current contracts, including any shared allocation.
- Source preparation, connector maintenance and refresh monitoring.
- Model changes, DAX work, report changes and regression checks.
- Access reviews, support, training and administration.
- Infrastructure operated specifically for the reporting service.
Microsoft's licence rules depend on the user and workspace setup. Check its current documentation before pricing a reader or author. Do not assume that every reader always needs the same licence, or that capacity is automatically economical. Use your actual region, contract and taxes when requesting a quote. Which licence creators and viewers need is explained in Power BI licensing: which one do you need?.
Separate internal time from external invoices. If a support contract already includes model maintenance, adding the same work as a second supplier line inflates the estimate. For shared staff, count the hours allocated to reporting rather than their full salary.
A hypothetical twelve-month comparison
Suppose an organisation records EUR 4,800 for licences and capacity, EUR 9,600 for external maintenance and EUR 6,000 of allocated internal reporting work. Its annual baseline is EUR 20,400. These are invented example inputs, not Microsoft or DigiData prices.
An alternative design might cost EUR 12,000 per year to operate, plus EUR 8,000 to rebuild and validate reports, EUR 2,000 for training and EUR 3,000 of extra overlap costs. Its first year would total EUR 25,000. It is therefore EUR 4,600 more expensive in year one, despite the lower recurring estimate.
If the annual recurring difference of EUR 8,400 is fully realised, the EUR 13,000 transition outlay has a simple payback of about 18.6 months. Contract timing, retained workloads and changing support needs can alter that result. Internal hours become cash savings only when the corresponding spend actually falls.
Compare three realistic options
First estimate keeping Power BI and removing unused reports, duplicate models or unnecessary maintenance. This often provides the clearest baseline because it avoids a rebuild.
Then estimate a mixed setup. Keep complex analytical models in Power BI and move selected operational views elsewhere. Include the administration of both tools. Sharing source data through OData can support coexistence, but each consumer still needs compatible calculations and access rules.
Finally estimate replacement for a defined set of reports. Include source mapping, calculation rebuilding, permissions, exports, user acceptance and rollback. DigiData does not convert a PBIX file directly. If you save the report as a Power BI project, the AI agent reads the pages, visuals and DAX measures and proposes the dashboards, which you review before they are created. See switching from Power BI. Still allow time for checking and acceptance.
Is Excel one of your options? Read Power BI vs Excel: choose by reporting task first. It shows which tool handles each type of report better, so you compare more than licence costs.
Test the assumptions before cancelling anything
Choose one representative report with a known owner. Measure build effort and compare totals by period and business unit. Ask real readers to complete their usual task in the proposed setup. A visually similar chart is not evidence of equivalent filtering or access.
Repeat the estimate with higher transition effort and lower realised savings. If the decision only works with every optimistic assumption, gather more evidence. Include contractual renewal dates so theoretical savings are not counted before a licence can actually be removed.
Use DigiData pricing for current product costs and contact the team with your source systems, report inventory and access requirements. Ask for a scoped comparison that includes the work, not just the subscription.
A large part of the cost is having reports built and maintained. Custom dashboards compares an agency, building it yourself and DigiData.

About Auke Westra
Founder of DigiData
Auke Westra is Founder of DigiData. He was responsible for clients' data and reporting and in 2025 began building an in-house data platform with his team. He writes about AI on business data, data definitions, Power BI and integrations.
Ready to start?
Try DigiData free for 14 days. Connect your software, load your data into Power BI and discover the difference.
Related articles
Power BI licensing: which license do you need and what does it cost?
Free, Pro or Premium Per User? How Power BI licensing works for creators and viewers, what it costs per month and when you can share without a license.
Automate management reporting without losing control
What goes into a management report? A fixed structure with KPIs and a source per section, a free Excel example and how to automate the report reliably.
AI in construction: 6 uses for your own project data
How construction firms already use AI on hours, materials and invoices: tracking project margin, spotting overruns and asking questions from site.
AI for small businesses: 15 use cases on data you already have
Not sure where to start with AI? See 15 practical AI use cases for small and mid-sized businesses by department, based on data you already have.