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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.

    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

    Vendor refund policy

    Please contact your rep for any questions.

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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.

    Support

    Vendor support

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    Ratings and reviews

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    226 external reviews
    Star ratings include only reviews from verified AWS customers. External reviews can also include a star rating, but star ratings from external reviews are not averaged in with the AWS customer star ratings.
    YAGO D.

    IBM's planning changed my life

    Reviewed on Jul 15, 2025
    Review provided by G2
    What do you like best about the product?
    I joined CTI and met Tm1; with the arrival of Planning, all the changes we can offer to clients have changed my perspective on business.
    What do you dislike about the product?
    Some tools that are easy and practical to use in Excel are still not available in planning, and their limitation for creating Dashboards.
    What problems is the product solving and how is that benefiting you?
    It has increased the possibilities of solutions that we can help work on for the client.
    Sandra R.

    Help with the monthly closing

    Reviewed on Jul 02, 2025
    Review provided by G2
    What do you like best about the product?
    What I like most is the agility it brings to the monthly closing. The automation of allocation rules, reassignments, and consolidation allows us to close the numbers more quickly and securely. Additionally, we can validate the information in real-time, which reduces rework.
    What do you dislike about the product?
    During the closing, any slowdown in the environment can impact the schedule, especially with many users accessing simultaneously. The performance could be more stable during peak times, such as in the last business days of the month.
    What problems is the product solving and how is that benefiting you?
    It solves the problem of lack of standardization and delays in information gathering for closing. Before, we relied on spreadsheets sent by email and a lot of manual reconciliation. Now, everything is done directly in the tool, with traceability, consistency, and much less operational effort.
    Edson M.

    Different angles of analysis and with agility

    Reviewed on Jul 02, 2025
    Review provided by G2
    What do you like best about the product?
    What pleases me the most is the ability to transform complex data into clear and actionable insights. The multidimensional structure allows for exploring information from different angles with agility, which is essential for quick and well-founded decisions.
    What do you dislike about the product?
    Despite its robustness, sometimes the PAW interface could be more intuitive, especially for non-technical users. Some functions are hidden or require too many clicks, which delays the user experience in simple tasks.
    What problems is the product solving and how is that benefiting you?
    Resolve the slowness in data consolidation and eliminates the insecurity caused by mismatched spreadsheet versions. Now we have a single source of truth, which strengthens the consistency of analyses and improves alignment between areas.
    Carlos G.

    Challenge to start using, then it's great

    Reviewed on Jul 02, 2025
    Review provided by G2
    What do you like best about the product?
    I like the ability to create custom and interactive dashboards in PAW, which greatly facilitates the communication of results with other areas of the company. The automation of processes also helps to reduce errors and gain efficiency.
    What do you dislike about the product?
    The initial learning curve is relatively steep, especially for users who are not familiar with the concept of cubes or with the logic of rules and feeders. This can hinder adoption by areas outside of controlling.
    What problems is the product solving and how is that benefiting you?
    The tool solves the problem of decentralization of information and the difficulty of maintaining consistent versions. Now we have a single environment with always updated data, which brings more confidence to the analyses and greatly facilitates corporate performance governance.
    Andreia B.

    Ease in deliveries and analysis

    Reviewed on Jul 02, 2025
    Review provided by G2
    What do you like best about the product?
    I like the flexibility that the tool offers to build custom models, tailored to the specific needs of the business. The integration with Excel via PAfE greatly facilitates data analysis and contributes to the autonomy of the controlling team in their daily activities. The performance for real-time calculations and simulations is also a strong point.
    What do you dislike about the product?
    Memory management and server resource consumption can be a challenge, especially in environments with large volumes of data. Additionally, the startup process of the SDATA service is not very transparent — the logs do not clearly indicate when there is reprocessing of feeders or how long the service will take to be fully available again.
    What problems is the product solving and how is that benefiting you?
    IBM Planning Analytics addresses the challenge of consolidating data from multiple areas into a single, integrated environment, allowing for fast, secure, and standardized analyses. This significantly reduces the time spent on manual spreadsheets and increases the reliability of the information used in performance management. Additionally, the ability to simulate scenarios and make projections quickly supports the company's strategic decision-making.
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