Sold by: IBM Software
Deployed on AWS
IBM Planning Analytics is an AI-infused planning solution that enables quick Iteration, accelerated decision making and higher performance. By utilizing NLP, automated model creation, predictive forecasting, scenario sandboxing and more, Planning Analytics allows you to be ready for anything.
4.4
Overview
Plan for anything, be ready for everything.
IBM Planning Analytics is an AI infused integrated planning solution that transcends the limits of manual planning by enabling quick Iteration, accelerated decision making and higher performance, all at the speed of modern business in one platform.
Predictive forecasting capabilities put the power of algorithmic forecasting in the hands of users, even those without data science skills, for more accurate, consistent, and timely forecasts.
This AI powered planning solution allows businesses to augment human intelligence so that their employees can spend less time manually aggregating data, and more time on analysis and higher value work.
Highlights
- Built on the powerful IBM TM1 database and calculation engine to enable multidimensional analysis of large, historical and future-oriented data.
- Use forecasting to discover and model trend, seasonality, and time dependence in data. Extract key forecasting measures to better understand the forecasts being applied.
- Integrate seamlessly with any of the leading ERPs/GLs, any database that is Open Database Connectivity compliant, and any API.
Details
Sold by
Delivery method
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Planning Analytics Cloud Pak for Data on AWS | Planning Analytics Cloud Pak for Data on AWS, 1 AU | $3,804.00 |
Dimensions summary
This listing uses a contract pricing model with one dimension, billed by the AU (Authorized Unit). You buy the quantity of AUs your deployment needs, so the total scales with how many units you provision. This is a planning and forecasting platform that runs within Cloud Pak for Data on AWS. Because there is a single dimension, there are no separate tiers or instance sizes to choose from. You control cost by adjusting the number of AUs on your contract.
Top-of-mind questions for buyers
An AU is the licensing unit for this platform. You buy the number of AUs your deployment requires, and your total contract scales with that quantity. The unit reflects your provisioned capacity within Cloud Pak for Data on AWS. Contact IBM to confirm how AUs map to your specific workload and user needs.
Cost scales with the number of AUs on your contract. Adding capacity means adding AUs, which increases the total. There is one dimension, so there are no separate tiers or instance sizes triggering automatic changes. You adjust the AU quantity to match your deployment size.
This is a planning and forecasting platform running within Cloud Pak for Data on AWS. It supports financial planning, supply chain, sales, workforce, and other planning workloads. You can work through a web interface or a spreadsheet add-in, and it connects to common enterprise data sources.
www.ibm.com
Helpful?
Vendor refund policy
Please contact your rep for any questions.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Support
Vendor support
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Similar products
IBM Cloud Pak® for Data is a unified data and AI platform that runs on any cloud. Utilize a data fabric to automatically break down data siloes, improve data quality and enhance data privacy and security. Build and infuse trustworthy AI across your business to drive digital transformation.
IBM DataStage on Cloud Pak for Data is a modern, cloud native, secure data integration solution that enables you to collect, transform, enrich, and deliver data at any scale and complexity. Bring IBM DataStage best in breed parallel engine to run data integration tasks in your AWS account.
Gain business agility while breaking down departmental silos with better, more predictive planning forecasts with IBM Planning Analytics as a Service.
IBM Cloud Pak® for Data is a unified data and AI platform running on AWS ROSA managed Openshift. Utilize a data fabric to break down data siloes, improve data quality and enhance data privacy and security. Build and infuse comprehensive AI across your business to drive digital transformation.
Customer reviews
向东 .
Fast TM1 Engine and Native Excel Integration for Real-Time Planning at Scale
Reviewed on Aug 22, 2026
Review provided by G2
What do you like best about the product?
What I like best about IBM Planning Analytics is its fast, powerful TM1 engine paired with native Excel integration. It lets finance teams run real-time consolidations and unlimited what-if scenario planning on complex multidimensional models, cutting manual spreadsheet work dramatically. It provides a single trusted source of truth for budgeting, forecasting and planning,supports collaboration, and scales well for large enterprise datasets.
What do you dislike about the product?
What I dislike most about IBM Planning Analytics is its steep technical learning curve. Creating and updating TM1 models and rules demands specialist knowledge, meaning less technical business users often need support from developers to make ad-hoc changes. This can create minor delays and raise ongoing model maintenance overhead.
What problems is the product solving and how is that benefiting you?
IBM Planning Analytics solves common FP&A pain points such as disjointed spreadsheets, slow manual consolidations, inconsistent data versions, and time-consuming scenario testing. By centralising planning data in a multidimensional TM1 model, it delivers real-time calculations and a single source of truth. This benefits me by reducing manual data entry and reconciliation work, enabling fast what-if analysis, streamlining budgeting and forecasting cycles, and supporting quicker, more reliable business decisions.
Amandeep S.
Accurate Predictive Forecasting That Delivers
Reviewed on Aug 21, 2026
Review provided by G2
What do you like best about the product?
The predictive nature of the tool for forecasting
What do you dislike about the product?
It is a bit expensive when you have to onboard the big datasets
What problems is the product solving and how is that benefiting you?
In my business, it enables us to make data-driven decisions quickly and saves money in the downstream products generation
Alejandro G.
Powerful analysis and collaboration, but with a steep learning curve and high cost
Reviewed on Aug 18, 2026
Review provided by G2
What do you like best about the product?
It allows working with large volumes of data quickly, creating scenarios and simulations in real time, and reducing the reliance on scattered Excel sheets. Its integration with Excel facilitates adoption by users accustomed to this tool, maintaining a centralized and controlled data model. Additionally, it allows different departments to collaborate on a single source of information, improves traceability of changes, and reduces manual errors. It is especially powerful for performing multidimensional analyses and easily comparing actual data, budgets, and forecasts.
What do you dislike about the product?
Its main disadvantage is complexity: it requires technical knowledge, has a steep learning curve, and its implementation and maintenance can be costly compared to simpler solutions.
What problems is the product solving and how is that benefiting you?
Resolve manual and fragmented planning processes by centralizing data and automating forecasts. This saves time, reduces errors, and improves decision-making.
Pavan B.
Powerful Scenario Planning Backed by a Detailed Execution Plan
Reviewed on Aug 18, 2026
Review provided by G2
What do you like best about the product?
It helps me create multiple scenarios to evaluate the impact of changes, supported by a detailed execution plan.
What do you dislike about the product?
We usually run into performance issues, and it often requires some development effort to address them.
What problems is the product solving and how is that benefiting you?
I’m currently using it on a profitability analysis platform across different use cases.
Jeanpierre L.
Robust, Efficient Yet Complex for New Users
Reviewed on May 13, 2026
Review provided by G2
What do you like best about the product?
I appreciate IBM Planning Analytics most for its powerful scenario modeling and unified data framework. It allows me to run flexible what-if analyses and adjust rolling forecasts efficiently, all based on one reliable source of truth to avoid duplicated or conflicting data. It integrates smoothly with our internal platforms and supports automated data consolidation, cutting down heavy manual workload and letting me focus more on strategic business insights instead of repetitive spreadsheet work. It also connects seamlessly with SAP ERP and our BI tools, simplifying data synchronization and supporting clear, actionable business dashboards.
What do you dislike about the product?
The biggest downside is its steep learning curve, especially for non-technical team members. Advanced modeling and custom configuration require professional training, slowing down team onboarding. The interface feels outdated compared to modern cloud tools, with rigid navigation and limited self-service reporting functions, leaving many routine tasks dependent on the central analytics team. Besides, system integration with our telecom infrastructure is quite complicated to deploy and maintain, relying on continuous IT support.
What problems is the product solving and how is that benefiting you?
IBM Planning Analytics unifies scattered spreadsheet data into one centralized platform, greatly reducing manual errors and version confusion. It automates repetitive planning tasks, standardizes cross-departmental data alignment, and delivers consistent forecasting results. This saves substantial working hours, improves overall data accuracy, and supports faster, more reliable business decision-making.