IBM Planning Analytics - all you need for proper analysis and planning.
July 17, 2023

IBM Planning Analytics - all you need for proper analysis and planning.

Anonymous | TrustRadius Reviewer
Score 10 out of 10
Vetted Review

Overall Satisfaction with IBM Planning Analytics

IBM Planning Analytics is the most versatile, performant, scalable and flexible multi-dimensional OLAP engine on the market that allows the building of analytical business applications for reprorting, planning and modelling. With its highly flexible engine it allows to build solutions that are well suited for all sorts of business sizes. Having implemented IBM Planning Analytics solutions with hundreds of customers around the globe, we have seen the power of the engine on how it solves real business problems, without having to compromise on complexity due to technical limitations. In combination with a business partner that knows the tool well, clients will be able to do driver-based planning, what-if scenario modelling, AI-infused planning and analytics, self-service analytics and so much more. Wheter in Finance or in Operations, IBM Planning Analytics is well catered to support the analytical requirements of each department at any scale and size.
  • Handle very large data volumes.
  • Scale to a large number of users.
  • Not having to compromise on business complexity.
  • It can be run by business users.
  • Availability of highly qualified consultants to support businesses.
  • REST API allows for an open eco system and a variety of solutions to extend the product.
  • Vast integration possibilities.
  • AI-infused engine with IBM Watson.
  • Developer User Interface.
  • Tools to monitor, maintain and run applications.
  • Time saved on planning was reduced by more than 30%.
  • Forecast accuracy increased materially.
  • Collaboration between departments improved.
  • Planning at granularity is required.
Both scenario planning or what-if analysis are key to proper FP&A or xP&A. IBM Planning Analytics provides the right tool set to do all required modelling for integrated financial planning using drivers, KPIs and not having to compromise on complexity. The flexibility of IBM Planning Analytics allows to create versioning and sandboxing to driver scenario and what-if modelling, managed by the end user without involvment of IT.
  • Jedox, Board and SAP BPC (Business Planning and Consolidation)

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?

Yes

Would you buy IBM Planning Analytics again?

Yes

Experience.
It does work as required and does the job we expect it to do.
It can be used for the following use cases Integrated financial planning and reporting for P&L, Balance Sheet and Cashflow Operational planning such as Expense, Capex, T&E, Marketing or IT planning Driver-based modeling KPI calculations S&OP applications Dashboarding, Reporting, and Analytics Self-service analytics Predictive planning (AI-infused) well suited for FP&A and xP&A.

IBM Planning Analytics Feature Ratings

Long-term financial planning
8
Financial budgeting
10
Forecasting
10
Scenario modeling
10
Management reporting
7
Financial Statement Reporting
9
Management Reporting
10
Excel-based Reporting
9
Automated board and financial reporting
8
Personalized dashboards
9
Color-coded scorecards
7
KPIs
10
Cost and profitability analysis
10
Key Performance Indicator setting
10
Benchmarking with external data
8
Flat file integration
10
Excel data integration
10
Direct links to 3rd-party data sources
9
Pixel Perfect reports
4
Customizable dashboards
8
Report Formatting Templates
6
Drill-down analysis
9
Formatting capabilities
9
Integration with R or other statistical packages
10
Report sharing and collaboration
6
Publish to Web
8
Publish to PDF
6
Pre-built visualization formats (heatmaps, scatter plots etc.)
7
Location Analytics / Geographic Visualization
7
Predictive Analytics
9
Pattern Recognition and Data Mining
7
Multi-User Support (named login)
10
Role-Based Security Model
10
Multiple Access Permission Levels (Create, Read, Delete)
10
Report-Level Access Control
10
Single Sign-On (SSO)
10
Responsive Design for Web Access
3
Dashboard / Report / Visualization Interactivity on Mobile
3