Finance AI Index
Index Vendors › Microsoft Power BI · September 2026 Edition
5 categories · Ranked

Microsoft Power BI

142Judge labels
15First choices
39Negative labels
12 of 12Models named it
5Categories
September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.2, every buyer segment counted.
Best standing
19% in Financial reporting for enterprise buyers
Rank 6 of 133 in the mid-market standingaccepted challenger
0 of 12 models made it the first choice on the direct prompt; 23% of its 26 labels there were negative.
By buyer segmentStrongest at enterprise.
In financial reporting · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading

Standing by category

Every category where a model named Microsoft Power BI for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.
CategoryFunctionShareRankNegative rateLabelsQuadrant
Financial reporting and dashboardsPlanning and analysis4%6 of 13323%26accepted challenger
SaaS metrics and analyticsPlanning and analysis2%6 of 817%14accepted challenger
Board and investor reportingPlanning and analysis0%77 of 970%1under 10 labels · led by OnBoard at 25%
Corporate performance managementPlanning and analysis0%63 of 950%1under 10 labels · led by Planful at 29%
Financial modeling and scenario planningPlanning and analysis0%77 of 1140%1under 10 labels · led by Datarails at 19%

Movement

This is the first edition on this tier, so no move can be computed for Microsoft Power BI yet. From the next edition this section shows, per buyer segment, whether its share moved by more than the measured noise floor.

By model

How each model treated Microsoft Power BI across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.510102
GPT-5.4 mini13004
Gemini 3.5 Flash11002
Perplexity Sonar02114
Grok 4.1 Fast10023
Mistral Small10405
DeepSeek V4 Flash13127
Llama 4 Maverick01102
Qwen 3.7 Flash11103
Kimi K210214
GLM 4.7 FlashX11013
MiniMax M2.521104

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.
FramingLabels by classFirst choices
Direct18 labels1
Paraphrase21 labels11
Comparative48 labels18not counted in share
Budget-constrained12 labels3
Scale-constrained4 labelsNone
Negative39 labels1not counted in share
First choiceAlternativeMentionNegative142 labels in all, every segment counted; 15 of the 34 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

Verbatim evidence the judge attached to positive labels.

“For General Purpose Finance Dashboards: Microsoft Power BI is an interactive data visualization platform that supports comprehensive financial dashboarding” Claude Haiku 4.5 · Financial reporting · paraphrase prompt · first choice
“Power BI most affordable for enterprises... Choose Power BI if you're heavily invested in Microsoft tools and want cost-effective enterprise BI” Kimi K2 · Financial reporting · comparative prompt · first choice
“For general business intelligence: Power BI (cost-effective, Microsoft integration) or Tableau (visual excellence) are top choices.” GLM 4.7 FlashX · Financial reporting · comparative prompt · first choice
“the best SaaS metrics dashboard is often a custom-built solution using Power BI or Tableau on top of a modern data warehouse” Mistral Small · SaaS metrics · direct prompt · first choice

And against it

Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.

“Power BI is the classic example — it's extremely popular and powerful, but its DAX formula language and data modeling require real expertise.” DeepSeek V4 Flash · Financial reporting · negative prompt · soft negative
“Power BI is generally well-regarded, but it has limitations that can be problematic depending on your needs.” GLM 4.7 FlashX · Financial reporting · negative prompt · soft negative
“Be cautious: General-purpose BI tools (Power BI, Tableau, Looker) for SaaS metrics” DeepSeek V4 Flash · SaaS metrics · negative prompt · soft negative
“Steep learning curve (especially DAX), performance lags with large datasets” Grok 4.1 Fast · Financial reporting · negative prompt · soft negative

Named alongside

The products named in the same answers as Microsoft Power BI, over the 140 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Microsoft Power BI was named but was not.
ProductSame answerTook the first choice insteadHead to head
Tableau102 of 1401Not in the top three
Looker63 of 1401Not in the top three
ChartMogul42 of 14021Not in the top three
Databox39 of 1406Not in the top three
Baremetrics39 of 1405Not in the top three
Looker Studio35 of 14014Not in the top three
ProfitWell Metrics32 of 1407Not in the top three
Metabase27 of 1401Not in the top three
Domo25 of 1400Not in the top three
Mixpanel25 of 1400Not in the top three
A head-to-head page exists where both products are in a category's top three. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named Microsoft Power BI. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 105 of the 140 answers that named Microsoft Power BI and are not a share of its labels.

Domains cited

worldmetrics.org44
databox.com39
getfairview.com36
designrevision.com32
zipdo.co29
baremetrics.com19
improvado.io17
kanerika.com17
fanruan.com16
reddit.com15

264 of the 264 domain citations in answers naming Microsoft Power BI came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Names read as Microsoft Power BI

What the judge wrote, as written, with how often. The vendor table decides that these count as Microsoft Power BI; a claim can dispute any of them.
Power BI 23Microsoft Power BI + SharePoint 1Power BI (Desktop) 1Power BI Custom Dashboards 1Power BI Report Server 1
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Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Microsoft Power BI's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Microsoft Power BI, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at microsoftpowerbi.com is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.

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