Mode Analytics
December 23, 2021

Mode Analytics

Devindra Sooklall | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User

Software Version

Enterprise

Overall Satisfaction with Mode Analytics

Mode is a great BI tool for creating reports to pull, analyze, and visualize data. It was very helpful in identifying sore spots in our operations and pointing out where action needed to be taken. It is a reliable tool that is fast, user-friendly, and easily accessible by those who are less tech-forward as well.

Pros

  • Stability
  • Ease of Use
  • Ease of sharing reports

Cons

  • More color schemes
  • More training videos
  • Lower cost!
  • Data Visualizations
  • Data Analytics
  • Data Democratization
  • Identified operational shortfalls
  • Allows stakeholders to take action individually
  • Visual representations of how long each process takes helps improve turnaround
I've used other BI tools such as Spotfire and Mode is by far the better solution. It is far more stable, less susceptible to errors/needs to reload/re-format reports, and overall more user-friendly. Spotfire might have some deeper functionality for absolute power users, but for the majority of folks who need to understand data flows/processing times, Mode is the superior software.

Do you think Mode Analytics delivers good value for the price?

Not sure

Are you happy with Mode Analytics's feature set?

Yes

Did Mode Analytics live up to sales and marketing promises?

Yes

Did implementation of Mode Analytics go as expected?

Yes

Would you buy Mode Analytics again?

Yes

Mode is well suited for creating reports that need to be viewed with relative frequency or reports that are difficult to run manually. I believe it has a place in any organization that needs to analyze/visualize/democratize data across stakeholders due to its accessibility and overall ease of use/navigation.

Mode Feature Ratings

Pixel Perfect reports
9
Customizable dashboards
9
Report Formatting Templates
9
Drill-down analysis
6
Formatting capabilities
7
Integration with R or other statistical packages
7
Report sharing and collaboration
9
Publish to Web
9
Publish to PDF
6
Report Versioning
9
Report Delivery Scheduling
9
Delivery to Remote Servers
9
Pre-built visualization formats (heatmaps, scatter plots etc.)
9
Location Analytics / Geographic Visualization
5
Predictive Analytics
Not Rated

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