Dundas BI: a real Swiss knife
May 12, 2017

Dundas BI: a real Swiss knife

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

Overall Satisfaction with Dundas BI

I am a reporting engineer for the sales and distribution department. I have been using dundas from the Dundas Dashboard. Last year we purchased the latest Dundas BI version. Currently, the solution is used in the distribution department. I use it to make dashboards and reports to highlight our sales force but also to keep track of our activities.
  • Dundas BI is truly awesome!
  • From the point of view of data processing, it is of unparalleled ease because it offers a wide range of useful tools in terms of data structure creation from any data source: Excel file, OLAP, non-OLAP). It is enough to establish the connection with the data source and to play with the utility to make the join if necessary.
  • For example if you have an Excel file, just drag and drop then you can show your data as you want and share it with colleagues or partners.
  • Sharing your work with many formats (Picture, CSV, a link)
  • Add the window management (I mean the CSS template or scripting) because sometimes the design of the dashboard is not obvious
  • Allow SMS sharing for outside team
  • Make the implementation part of the dashboard more intuitive, as is the management of data.
Dundas is the only tool I've had to use for report viewing. Before I used libraries to develop my own report.

Dundas BI is very well adapted for the structuring part of the data and making reports with an existing Excel file and sharing it. Moreover, for the dashboarding part of an implementaton point of view of the dashboard, improvements could be made to facilitate the creation of the template in the dashboard. Sometimes it is not obvious especially if you do not have a graphic designer to cut out the images.

Dundas BI Feature Ratings

Pixel Perfect reports
10
Customizable dashboards
7
Report Formatting Templates
8
Drill-down analysis
10
Formatting capabilities
7
Integration with R or other statistical packages
5
Report sharing and collaboration
10
Publish to Web
10
Publish to PDF
10
Report Delivery Scheduling
10
Pre-built visualization formats (heatmaps, scatter plots etc.)
9
Location Analytics / Geographic Visualization
Not Rated
Predictive Analytics
8
Multi-User Support (named login)
10
Role-Based Security Model
10
Multiple Access Permission Levels (Create, Read, Delete)
10
Responsive Design for Web Access
10
Dashboard / Report / Visualization Interactivity on Mobile
10