Microsoft is one of the best tools for Data Analysis
Updated September 13, 2019

Microsoft is one of the best tools for Data Analysis

Anonymous | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User

Overall Satisfaction with Microsoft Power BI

A lot of Packages are available to represent the data. Predictive and Visualization representations are very useful. A lot of users are implementing new packages and share the same with other users which helps to find a quick solution to our requirements. The open Source community provides help in case of any issues or solutions needed. Such as issues with finding a central repository to find out the implementation of packages. More searches are needed for finding the details of any package, for example, any package needs to search a lot to find out the details. Recommendations to others considering the product are much needed in the understanding of our language to proceed with the tool. Data Representation, Analysis, Visualization, Detailing, Training purpose as well.
  • Lot of Packages available to represent the data
  • Predictive and Visualization representation are very useful
  • Lot of users are implementing new packages and share the same with users which helps in find quick solution to our requirements
  • Open Source community as well provides help in case of any issues or solution needed
  • Issues with finding a central repository to find out the implementation of packages
  • Search more needed for finding the details of any package, for example, any package need to search a lot to find out the details
  • Tutorials for beginners to explain the navigation and details
Organization tool is the same
Dashboard Sharing and Auto refresh data in shared environments. Sharing of a report based on the target audience Customize the reports to filter what should be shown in the report.

Microsoft Power BI Feature Ratings

Pixel Perfect reports
9
Customizable dashboards
10
Report Formatting Templates
9
Drill-down analysis
8
Formatting capabilities
9
Integration with R or other statistical packages
10
Report sharing and collaboration
10
Publish to Web
10
Publish to PDF
10
Report Versioning
9
Report Delivery Scheduling
10
Delivery to Remote Servers
9
Pre-built visualization formats (heatmaps, scatter plots etc.)
7
Location Analytics / Geographic Visualization
8
Predictive Analytics
10
Multi-User Support (named login)
10
Role-Based Security Model
10
Multiple Access Permission Levels (Create, Read, Delete)
10
Single Sign-On (SSO)
10
Responsive Design for Web Access
10
Mobile Application
8
Dashboard / Report / Visualization Interactivity on Mobile
7
REST API
8
Javascript API
7
iFrames
7
Java API
7
Themeable User Interface (UI)
8
Customizable Platform (Open Source)
6