Microsoft BI- Multiple sources, One solution
October 24, 2016

Microsoft BI- Multiple sources, One solution

Jasmeet S Babra | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with Microsoft BI

Microsoft BI is used in our organization for data analysis and reporting. I used it as a part of marketing live dashboard implementation. It is really a great tool for visualization and customization of views. It's useful in making decisions based on live data and we connect Google Analytics data.
  • I like how the dashboard is customizable to your own preference.
  • Its a Microsoft tool so it works perfectly with Excel.
  • It's an easy to learn and use tool with minimal training required.
  • The mobile app works perfectly with the dashboard view of your data.
  • More training resources for new users.
  • Better integration with SRSS.
  • I feel it still has a long way to go as far as Tableau is considered.
  • I would say making work easier for internal marketing reports is a great time saving activity in which Microsoft BI excels. Instead of downloading data manually from various sources, it integrates live data from applications.
Microsoft BI is very well suited to implement reporting and visualization within departments. Choosing Microsoft BI over tools like Tableau is the variety of third party apps it extracts data from. This functionality is limited in Tableau as it digests data from large data sources like SQL etc.
Especially for marketing departments where data is coming from social media campaigns, email campaigns, and other campaigns, BI handles it all very well.
Microsoft BI can digest data from a variety of sources like Google Analytics, mailchimp, Facebook, salesforce etc., which is great from a marketing point of view. Data is changing every minute and for a big organization, getting these updates live is a great feature.

Microsoft BI (MSBI) Feature Ratings

Pixel Perfect reports
9
Customizable dashboards
10
Report Formatting Templates
10
Drill-down analysis
9
Formatting capabilities
10
Integration with R or other statistical packages
9
Report sharing and collaboration
9
Publish to Web
9
Publish to PDF
10
Report Versioning
9
Report Delivery Scheduling
9
Pre-built visualization formats (heatmaps, scatter plots etc.)
9
Location Analytics / Geographic Visualization
10
Predictive Analytics
8
Multi-User Support (named login)
9
Role-Based Security Model
9
Multiple Access Permission Levels (Create, Read, Delete)
9
Responsive Design for Web Access
10
Mobile Application
10
Dashboard / Report / Visualization Interactivity on Mobile
9