Birst is good, but could be better
March 09, 2018

Birst is good, but could be better

Anonymous | TrustRadius Reviewer
Score 7 out of 10
Vetted Review
Verified User

Overall Satisfaction with Birst

Across the enterprise. It addresses many reporting needs across the company for different business lines.

Pros

  • Quick visualizations and data insights
  • Quick import of excel or csv files for ad hoc or discovery
  • When data model correct, ability to connect data to other data
  • Dynamic dashboards

Cons

  • No source control for change control policies
  • Does not follow normal Dev, QA, Production deployments meaning you have to copy spaces to promote collections/reports and in other cases have to recreate Custom Attributes, Filters etc from space to space instead of normal deployment procedures.
  • Quirky things that happen with no visibility into what happened, missing security settings while swapping spaces, things working sometimes and broken other times
  • Better security and roles, Admin functions or search capabilities, more windows style navigation to easily move things around as needed in collections/dashboards.
  • Better metadata Admin functions for tracking production level collections and reports, security groups and users within those groups, and easily producing lists of all Measures, Attributes, variables, custom attributes, custom measures, and ways to manage and cross reference these items within reports or dashboards
Well suited to enterprise reporting when data model valid, one version of the truth if used by all areas for data that is processed consistently for up to date information. Not well suited for dynamic changes within the org where either data changes are required or new reporting is needed as users are used to Excel and doing their own reports faster. It is too technical and complicated for average business user, especially if data model is not simple and easy to follow.

Infor Birst Feature Ratings

Pixel Perfect reports
7
Customizable dashboards
7
Report Formatting Templates
4
Drill-down analysis
8
Formatting capabilities
3
Integration with R or other statistical packages
5
Report sharing and collaboration
6
Publish to Web
8
Publish to PDF
8
Report Delivery Scheduling
7
Pre-built visualization formats (heatmaps, scatter plots etc.)
7
Location Analytics / Geographic Visualization
7
Predictive Analytics
7
Multi-User Support (named login)
7
Role-Based Security Model
6
Multiple Access Permission Levels (Create, Read, Delete)
6
Responsive Design for Web Access
7
Mobile Application
7
Dashboard / Report / Visualization Interactivity on Mobile
7

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