User experience on Microsoft Power BI
February 25, 2025

User experience on Microsoft Power BI

rajender singh | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User

Software Version

Power BI Pro

Overall Satisfaction with Microsoft Power BI

We use to manage gear technical data for on going production and for forecasting production stock. Managing and forecasting become easy for whole team and also for understanding future requirements. It is also going to help in future for maintaining large data in a single place by which any user from different factory location can access and view the requirement which helps us in expanding our business goals.

Pros

  • Analysis
  • Sorting and manipulation
  • Data visualization

Cons

  • Training
  • More visualization feature
  • Performance
  • Forecasting becomes easy
  • Target reaching is easy
  • Productivity
It is easy to use software for experienced personal. Extra visualization features made it extraordinary software. Large dataset can be handled by it very easily and can be accessed by any place. Manipulation and sorting of data is very easy. Servis provide by then is also quick, whenever we get performance issue, it will get resolved very fast.

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?

Yes

Did implementation of Microsoft Power BI go as expected?

Yes

Would you buy Microsoft Power BI again?

Yes

Microsoft Power BI is mostly helpful while managing large dataset. Managing large dataset is very easy in Microsoft Power BI. Visualization of manipulated dataset is very easy but still some less visualization options available.

Microsoft Power BI Feature Ratings

BI Platform ()
Not Rated
Supported Data Sources ()
Not Rated
9.3
Pixel Perfect reports
9
Customizable dashboards
9
Report Formatting Templates
10
8.8
Drill-down analysis
8
Formatting capabilities
10
Integration with R or other statistical packages
7
Report sharing and collaboration
10
9.2
Publish to Web
9
Publish to PDF
9
Report Versioning
9
Report Delivery Scheduling
9
Delivery to Remote Servers
10
10.0
Pre-built visualization formats (heatmaps, scatter plots etc.)
10
Location Analytics / Geographic Visualization
10
Predictive Analytics
10
Pattern Recognition and Data Mining
10
9.8
Multi-User Support (named login)
10
Role-Based Security Model
10
Multiple Access Permission Levels (Create, Read, Delete)
9
Report-Level Access Control
10
Single Sign-On (SSO)
10
9.7
Responsive Design for Web Access
10
Mobile Application
9
Dashboard / Report / Visualization Interactivity on Mobile
10
Application Program Interfaces (APIs) / Embedding ()
Not Rated

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