IBM Planning Analytics Review
February 07, 2020

IBM Planning Analytics Review

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

Overall Satisfaction with IBM Planning Analytics

IBM Planning Analytics is being used by our organization for planning, budgeting, and forecasting. We are currently using it across the entire organization. It helps us with budgeting and finance planning.

Pros

  • Budgeting
  • Forecasting

Cons

  • Deployment options
  • Visualization tools
  • Increase in sales
  • Revenue increase
IBM Planning Analytics is by far a much better product than Anaplan. The user interface is much easier to use.
IBM Planning Analytics support is great. They are very responsive to emails and calls to get issues resolved very fast.

Do you think IBM Planning Analytics delivers good value for the price?

Yes

Are you happy with IBM Planning Analytics's feature set?

Yes

Did IBM Planning Analytics live up to sales and marketing promises?

Yes

Did implementation of IBM Planning Analytics go as expected?

No

Would you buy IBM Planning Analytics again?

Yes

IBM Planning Analytics is very well suited for company budgeting and forecasting.

IBM Planning Analytics Feature Ratings

8.2
Long-term financial planning
8
Financial budgeting
9
Forecasting
10
Scenario modeling
5
Management reporting
9
8.4
Financial data consolidation
8
Journal entries and reports
6
Multi-currency management
9
Intercompany Eliminations
9
Minority Ownership
10
Local and consolidated reporting
8
Detailed Audit Trails
9
8.8
Financial Statement Reporting
9
Management Reporting
9
Excel-based Reporting
8
Automated board and financial reporting
9
XBRL support for regulatory filing
9
8.7
Personalized dashboards
9
Color-coded scorecards
8
KPIs
7
Cost and profitability analysis
9
Key Performance Indicator setting
9
Benchmarking with external data
10
9.3
Flat file integration
10
Excel data integration
8
Direct links to 3rd-party data sources
10
6.0
Pixel Perfect reports
9
Customizable dashboards
6
Report Formatting Templates
3
8.8
Drill-down analysis
9
Formatting capabilities
8
Integration with R or other statistical packages
9
Report sharing and collaboration
9
8.3
Publish to Web
8
Publish to PDF
8
Report Versioning
8
Report Delivery Scheduling
9
9.0
Pre-built visualization formats (heatmaps, scatter plots etc.)
9
Location Analytics / Geographic Visualization
9
Predictive Analytics
9
8.8
Multi-User Support (named login)
9
Role-Based Security Model
10
Multiple Access Permission Levels (Create, Read, Delete)
6
Single Sign-On (SSO)
10
9.7
Responsive Design for Web Access
10
Mobile Application
9
Dashboard / Report / Visualization Interactivity on Mobile
10

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