Microsoft Power BI a tool for business intelligence
May 06, 2025

Microsoft Power BI a tool for business intelligence

Hitesh Gautam | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Software Version

Power BI Desktop

Overall Satisfaction with Microsoft Power BI

So in my organization i use Microsoft Power BI to create reports and dashboards that gives better business idea on how the products,services are behaving within the market for my client. Dashboards,scorecards and reports having visualizations with extensive calculation are created by me and my team that gives a clearer picture on how the business is behaving

Pros

  • Scorecards creation
  • Dashboards creation
  • Advanced calculations

Cons

  • AI integration
  • In Dataflows
  • Buffer management
  • Better decision making using visuals
  • Cost
  • Platform independent
I believe one of the best tools for business i telligence is Microsoft Power BI. Why because it is a Microsoft product which makes it best in innovation, security and updates. Easy to use and learn for newbies. Has tons of data integration capabilities to use from.last but not the least it is platform independent.

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

Describing scenario where i worked on Microsoft Power BI for a client where our client was a health partner that has number of clients within it in the US. We created scorecards for every client describing year wise, month wise and daywise updates on their business. We also created individual reports for every client and their use case such cases reports for cash transactions, denial of payments reports, charges reports, adjustments reports etc.

Microsoft Power BI Feature Ratings

Pixel Perfect reports
8
Customizable dashboards
9
Report Formatting Templates
9
Drill-down analysis
8
Formatting capabilities
9
Integration with R or other statistical packages
7
Report sharing and collaboration
8
Publish to Web
9
Publish to PDF
9
Report Versioning
8
Report Delivery Scheduling
9
Delivery to Remote Servers
8
Pre-built visualization formats (heatmaps, scatter plots etc.)
8
Location Analytics / Geographic Visualization
8
Predictive Analytics
8
Pattern Recognition and Data Mining
8
Multi-User Support (named login)
9
Role-Based Security Model
9
Multiple Access Permission Levels (Create, Read, Delete)
8
Report-Level Access Control
8
Single Sign-On (SSO)
9
Responsive Design for Web Access
7
Mobile Application
7
Dashboard / Report / Visualization Interactivity on Mobile
8
REST API
9
Javascript API
7
Java API
7
Themeable User Interface (UI)
8

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