TrustRadius: an HG Insights company

IBM Planning Analytics

Score8.4 out of 10

292 Reviews and Ratings

What is IBM Planning Analytics?

IBM Planning Analytics, powered by IBM TM1®, is an integrated planning solution designed to promote collaboration across the organization and help keep pace with the speed of modern business. With its calculation engine, this enterprise performance management solution is designed to help users move beyond the limits of spreadsheets, automating the planning process to drive faster, more accurate results. Use it to unify data sources into one single repository, enabling users to build sophisticated, multidimensional models that drive forecasts.

Media

Screenshot of Workflow management
Screenshot of Income statement
Screenshot of Margin analysis
Screenshot of Metrics management
Screenshot of Income statement
Screenshot of Expense analysis

1 / 6

Screenshot of Workflow management

Top Performing Features

  • Excel-based Reporting

    Ad hoc or formatted reports using MS Excel.

    Category average: 8.2

  • Forecasting

    Combining actuals and budgets, rolling forecasts, driver-based models.

    Category average: 8.4

  • Financial data consolidation

    Consolidating data from several entities into a single statement using US GAAP, IFRS or other standards.

    Category average: 8.1

Areas for Improvement

  • XBRL support for regulatory filing

    Support for the XBRL standard reporting format for exchanging financial data.

    Category average: 7.1

  • Mobile Application

    A dedicated app for iOS and/or Android.

    Category average: 6.7

  • Dashboard / Report / Visualization Interactivity on Mobile

    In-app dashboard reports and data visualization.

    Category average: 6.7

Best Analytics tool

Use Cases and Deployment Scope

we use IBM Planning Analytics to connect our ERP data with our web interface. this helps us to eliminate manual data ingestion and provides real time data which acts as source of truth for our systems.
it provides clear visibility of data that helps us to drive cost and unknown charges.

Pros

  • sales & operation demand planning
  • cash flow calculation

Cons

  • steep learning curve
  • Improve interfaces in a single rather than fragments

Return on Investment

  • saves time from manual data processing

IBM Planning Analytics Review.

Use Cases and Deployment Scope

I am an IT consultant and have been working with Planning Analytics/ TM1 for 15 years. It is probably the most robust planning and forecasting solution in the market.

Pros

  • Budgeting
  • Forecasting
  • "What If Scenario".

Cons

  • Not Sure, Maybe Industry use cases.

Return on Investment

  • It is very positive. It helps open up new clients.
  • It provides insights to data that most cannot.
  • IBM's new interface is a huge time saver.

Alternatives Considered

Microsoft Excel and Oracle Hyperion

Other Software Used

IBM Cognos Analytics

IBM Planning Analytics Review

Use Cases and Deployment Scope

We use IBM Planning Analytics for our budget planning ,budget forecasting real time analysis and reporting of data across organization.

The Pax Excel add in helps us to directly interact with the data in the excel without the need of switching different tools.

We also use the TM1 for resources allocation planning and asset management to align with our IT spending and future forecasts.

Pros

  • Budget planning and budget forecasting
  • Resource planning for a team with Budget allocations and Asset lifecycle management
  • Manual reconciliation efforts are not needed

Cons

  • Requires a lot of time to learn and master it
  • Advance features are a little complex to understand
  • If the data set is very big it takes a lot of time to process it hence the performance is slower
  • Initial upfront cost is high including the license cost
  • When compared with Power BI the IBM analytics lags behind

Return on Investment

  • Positive Impact as we are able to forecast the budget for the entire year with significant time saving
  • All the complex data is can be easily processed and with Excel add in functionality its easier to have all the data in one place which can be used to create Pivot or data visualization.
  • The date protection protocols are well set up

Other Software Used

BeyondTrust Remote Support, BitTitan MigrationWiz

IBM Planning Analytics Tool On Top of the Game and unlimited Potential

Use Cases and Deployment Scope

Planning is an integral part of manufacturing business. Planning derives other processes like buying raw material, production acitivities, finishing processes and budgeting. With help of proper planning tool, the activies can be planned and cost involved can be predicted near to accuracy. The tool also helps to analyse the data and represent the information in form of dashboard.

Pros

  • Budgeting
  • Anaylsis
  • Supply chain planning
  • Forecasting

Cons

  • Workflow management
  • Sandboxing
  • Ease of understand and use Modeling

Return on Investment

  • Improved Decision Making
  • Attain operational Efficiency
  • Cost Effective
  • Resource Allocation Streamlined

Alternatives Considered

SAP Analytics Cloud, OneStream and Oracle Fusion Cloud ERP

Other Software Used

SAP HANA Cloud, SAP Sales Cloud, SAP S/4HANA Cloud, SAP Business Warehouse

Planning Analytics Makes Forecasting Easy and Fast

Use Cases and Deployment Scope

I use IBM Planning Analytics mostly for financial planning, forecasting, and reporting and it's been super useful across different departments, especially when we need real-time insights, we also plugged in timeseries forecasting with Watson Studio which helps with better predictions.

Pros

  • it’s easy to use even if you’re not technical and implementation with the cloud version is quick
  • i really like the Excel integration—it keeps things familiar and adds more power
  • it can handle massive datasets in memory and still stay fast, which is a big deal

Cons

  • it doesn’t work offline, making it difficult for me to work or gather required data when I don’t have internet connection
  • the learning curve is quite steep

Return on Investment

  • we cut down on manual budgeting and forecasting work, which saved us a ton of time
  • our decision-making improved a lot because of the real-time data and automation
  • it only took us about three months to create custom models that really fit our needs

Other Software Used

Miro, AdLogic Software, Microsoft Access