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    IBM Planning Analytics for IBM Cloud Pak for Data

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    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

    Delivery method

    Deployed on AWS
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    Pricing

    IBM Planning Analytics for IBM Cloud Pak for Data

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    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.

    12-month contract (1)

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    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

    AI Insights

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    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
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    Usage information

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    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.

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    Customer reviews

    Ratings and reviews

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    4.4
    256 ratings
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    256 external reviews
    External reviews are from G2 .
    Judiciary

    Centralizes Data for Accurate Planning, Steep Learning Curve

    Reviewed on Aug 24, 2026
    Review provided by G2
    What do you like best about the product?
    I like how IBM Planning Analytics centralizes data, making budgeting, forecasting, and what-if analysis faster and more accurate. I also find its Excel integration really helpful, as it makes working with the system easier. Once IT set it up, the system was relatively easy to use and maintain.
    What do you dislike about the product?
    I find the learning curve steep as advanced features can require technical expertise. I also think the interface could be more intuitive and modern.
    What problems is the product solving and how is that benefiting you?
    IBM Planning Analytics centralizes our budgets, forecasting, and planning, replacing fragmented spreadsheets, manual calculations, and inconsistent data. It automates planning processes, enhances accuracy and speed for budgeting, and offers seamless Excel integration.
    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.
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