A powerful visualization tool
August 26, 2025

A powerful visualization tool

Edson Pinheiro | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Software Version

Power BI Pro

Overall Satisfaction with Microsoft Power BI

I use Microsoft Power BI to measure metrics and, with this information, to make decisions about the medical field. We use it a lot to monitor our teams' performance. I need to update the information at least weekly so management can make decisions. I use different types of visualizations and consume various databases.

Pros

  • Very easy layout
  • Powerquery is very instinctive
  • AI helps create measures

Cons

  • Editing views is very messy
  • Some tools do not have a manual explaining each field
  • Positive Impact: We always accelerate our performance thanks to these reports. Because we have a detailed view of each person, we already know exactly where to target for improvement.
  • Negative: Due to update errors, which often make no sense, this delays the delivery of the report.
I've used several tools, Microsoft Power BI was the only one that even if I had no prior knowledge, I could use without having to do much research.

Do you think Microsoft Power BI delivers good value for the price?

Yes

Are you happy with Microsoft Power BI's feature set?

Yes

Did Microsoft Power BI live up to sales and marketing promises?

I wasn't involved with the selection/purchase process

Did implementation of Microsoft Power BI go as expected?

Yes

Would you buy Microsoft Power BI again?

Yes

Create quick visualizations. Because it's quite instinctive, if I need to do something quickly, I can do it using Microsoft Power BI. However, if I need to do a more robust ETL, it's not worth doing it with Microsoft Power BI because it's cumbersome.

Microsoft Power BI Feature Ratings

BI Platform ()
Not Rated
Supported Data Sources ()
Not Rated
8.0
Pixel Perfect reports
8
Customizable dashboards
8
Report Formatting Templates
8
8.8
Drill-down analysis
9
Formatting capabilities
9
Integration with R or other statistical packages
8
Report sharing and collaboration
9
9.2
Publish to Web
9
Publish to PDF
9
Report Versioning
9
Report Delivery Scheduling
10
Delivery to Remote Servers
9
8.5
Pre-built visualization formats (heatmaps, scatter plots etc.)
9
Location Analytics / Geographic Visualization
8
Predictive Analytics
8
Pattern Recognition and Data Mining
9
9.2
Multi-User Support (named login)
9
Role-Based Security Model
9
Multiple Access Permission Levels (Create, Read, Delete)
10
Report-Level Access Control
9
Single Sign-On (SSO)
9
8.0
Responsive Design for Web Access
8
Mobile Application
8
Dashboard / Report / Visualization Interactivity on Mobile
8
9.0
REST API
9
Javascript API
9
Java API
9
Themeable User Interface (UI)
9

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