IBM Planning Analytics has been recognized by TrustRadius in its 2025 Top Rated Awards, earning distinctions in multiple categories including:
- Workforce Analytics
- Corporate Performance Management (CPM)
- Budgeting & Forecasting
- Financial Planning & Analysis (FP&A)
These awards reflect strong user feedback across a range of use cases and industry needs.
Why TrustRadius Matters
The TrustRadius Top Rated Awards are based entirely on user reviews. To qualify, products must meet three criteria:
- 1. Have at least 10 new verified reviews in the past year
- 2. Have a TrustRadius score of 7.5 or higher (out of 10)
- 3. Have a minimum level of category traffic on TrustRadius
This makes the recognition particularly meaningful for software buyers looking for real-world perspectives from fellow user
What Users Are Saying
Reviews on TrustRadius point to IBM Planning Analytics’ strengths in planning, reporting, and financial close processes. The platform earned high marks across several key areas:
- Budgeting, Planning & Forecasting: 9.0 rating
- Analytics & Reporting: 9.1 rating
These ratings place Planning Analytics above the category average in each area.
Reviewers noted its flexibility, ability to handle large datasets, and strong integration with AI technologies like IBM Watson.
How This Fits in the Market
Planning Analytics is often evaluated alongside tools in analyst reports from Gartner, Forrester, and others. The TrustRadius recognition provides an additional lens—one that highlights how the platform performs in day-to-day use by real finance teams.
IBM Planning Analytics has more than 250 verified reviews on TrustRadius and consistently earn ratings about 9.0 in key areas. It stands out as a strong choice for organizations seeking to modernize their planning and performance management capabilities.
A Data-Driven Distinction
The TrustRadius Top Rated Awards are based on transparent, criteria-driven methodology. The awards reflect consistent satisfaction from a diverse group of users across industries and company sizes.