IBM Planning Analytics for IBM Cloud Pak for Data
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Exceptional Speed, Flexibility, and Integration for Enterprise Planning
What do you like best about the product?
The TM1 engine delivers exceptionally fast in-memory data processing and supports complex calculations in real time. This capability makes it particularly well-suited for financial planning, forecasting, and budgeting, where both speed and accuracy are essential.
One of its standout features is flexibility—models can be tailored to reflect specific business logic or organizational structures, making it highly adaptable. It supports planning needs across both financial and operational domains, spanning multiple departments.
With Planning Analytics for Excel (PAX), users can continue working within Excel while benefiting from a centralized, governed data model. This integration bridges the familiarity of Excel for finance teams with the power of enterprise-level analytics.
The platform unifies planning, budgeting, and forecasting processes—including financial, workforce, and sales planning—within a single environment. This ensures consistency and alignment across all business units.
Data governance and security are robust, featuring role-based access controls and centralized management to maintain data integrity. The solution is trusted by large enterprises with complex structures.
Integration with IBM Cognos and other business intelligence tools enables seamless reporting and visualization. It can also connect with various analytics platforms and databases.
Scalability is another strength, as the system efficiently manages large data volumes for both mid-sized organizations and large enterprises without sacrificing performance.
Finally, the integration of IBM’s AI capabilities brings predictive forecasting and scenario modeling, supporting proactive rather than reactive decision-making.
One of its standout features is flexibility—models can be tailored to reflect specific business logic or organizational structures, making it highly adaptable. It supports planning needs across both financial and operational domains, spanning multiple departments.
With Planning Analytics for Excel (PAX), users can continue working within Excel while benefiting from a centralized, governed data model. This integration bridges the familiarity of Excel for finance teams with the power of enterprise-level analytics.
The platform unifies planning, budgeting, and forecasting processes—including financial, workforce, and sales planning—within a single environment. This ensures consistency and alignment across all business units.
Data governance and security are robust, featuring role-based access controls and centralized management to maintain data integrity. The solution is trusted by large enterprises with complex structures.
Integration with IBM Cognos and other business intelligence tools enables seamless reporting and visualization. It can also connect with various analytics platforms and databases.
Scalability is another strength, as the system efficiently manages large data volumes for both mid-sized organizations and large enterprises without sacrificing performance.
Finally, the integration of IBM’s AI capabilities brings predictive forecasting and scenario modeling, supporting proactive rather than reactive decision-making.
What do you dislike about the product?
-The ramp-up period for business-user adoption was considerable, largely because of the complexity involved in the model and rule logic. In Sales and Supply Chain, business rules, demand patterns, and SKUs change frequently.
-Users often find that updating TM1 models, dimensions, and rules for these changes can be time-consuming and technically complex, especially without strong developer support.
-Some end-user experiences, such as dashboarding and self-service visualizations, fell short of stakeholder expectations, especially when compared to more modern tools. Performance sometimes suffered as models increased in size and complexity, and ongoing maintenance—including documentation and managing rules and feeders—demanded dedicated resources.
-For smaller deployments, it is important to carefully consider the licensing and implementation costs and the effort required. Additionally, upgrades and ensuring compatibility between components like Excel add-ins, TM1 Web, and various security modes necessitate thorough planning and testing.
-Although one of the strengths is fast in-memory calculations, customers note that if models become very large/complex (many cubes, many feeders, very sparse combinations) performance can degrade
-Users often find that updating TM1 models, dimensions, and rules for these changes can be time-consuming and technically complex, especially without strong developer support.
-Some end-user experiences, such as dashboarding and self-service visualizations, fell short of stakeholder expectations, especially when compared to more modern tools. Performance sometimes suffered as models increased in size and complexity, and ongoing maintenance—including documentation and managing rules and feeders—demanded dedicated resources.
-For smaller deployments, it is important to carefully consider the licensing and implementation costs and the effort required. Additionally, upgrades and ensuring compatibility between components like Excel add-ins, TM1 Web, and various security modes necessitate thorough planning and testing.
-Although one of the strengths is fast in-memory calculations, customers note that if models become very large/complex (many cubes, many feeders, very sparse combinations) performance can degrade
What problems is the product solving and how is that benefiting you?
-IBM Planning Analytics addresses complex and time-sensitive planning and forecasting needs in real time.
particularly within sales and supply chain operations. With its real-time calculations, planning cycles are significantly shortened, reducing the process from days or weeks to just a few hours. The platform’s centralized and consistent modeling improves the reliability of both sales and demand forecasts, leading to greater forecast accuracy. Organizations benefit from increased agility, allowing them to respond swiftly to market changes, supply chain disruptions, or sudden shifts in demand. Additionally, it helps optimize production and inventory levels, which in turn lowers carrying costs and improves resource utilization. The use of shared models and dashboards also fosters stronger collaboration and transparency among different departments.
particularly within sales and supply chain operations. With its real-time calculations, planning cycles are significantly shortened, reducing the process from days or weeks to just a few hours. The platform’s centralized and consistent modeling improves the reliability of both sales and demand forecasts, leading to greater forecast accuracy. Organizations benefit from increased agility, allowing them to respond swiftly to market changes, supply chain disruptions, or sudden shifts in demand. Additionally, it helps optimize production and inventory levels, which in turn lowers carrying costs and improves resource utilization. The use of shared models and dashboards also fosters stronger collaboration and transparency among different departments.
Innovative Data Integration, Needs Goal-Based Analysis Features
What do you like best about the product?
It aims to reduce processing time and incorporate variables that current business models do not take into account, while also improving how data is prepared and integrated into the models.
What do you dislike about the product?
At the moment, I don’t program the tool myself; I focus on reviewing various model outputs and comparing them against our existing manual models. A potential improvement would be to enable goal-based analysis and present results at defined intervals, along with an assessment of their stationarity.
What problems is the product solving and how is that benefiting you?
It reduces the time needed to model various outcomes and enables the inclusion of variables that are challenging to incorporate through manual modeling processes.
IBM Planning Analytics: Driving Efficiency and Accuracy in Business Planning
What do you like best about the product?
IBM Planning Analytics stands out for its impressive blend of flexibility and performance. The integration of TM1 with a user-friendly interface enables real-time data analysis and supports quicker decision-making. I also value how easily I can create dynamic dashboards and carry out multidimensional modeling. Its automation features greatly minimize manual work, which enhances both efficiency and accuracy across planning, forecasting, and reporting tasks.
What do you dislike about the product?
One aspect where IBM Planning Analytics could see improvement is in its user interface and the complexity of the initial setup. Although the tool offers robust capabilities, newcomers may struggle to navigate and set up models effectively without sufficient training. Furthermore, performance can occasionally lag when working with particularly large datasets. Improving the platform’s user-friendliness, as well as its documentation and troubleshooting resources, would help create a smoother and more efficient experience for all users.
What problems is the product solving and how is that benefiting you?
IBM Planning Analytics is helping us solve several critical challenges related to budgeting, forecasting, and data consolidation. It eliminates the need for manual spreadsheet work, ensuring accuracy and consistency across departments. The platform’s real-time data integration and automation capabilities enable faster analysis and more informed decision-making. As a result, we’ve experienced improved collaboration, reduced turnaround times, and greater visibility into financial and operational performance across the organization.
TM1 Review
What do you like best about the product?
Flexibility out of the box to develop and design whatever I need for our customers. multiple ways for users to interact with data
What do you dislike about the product?
Having trouble scaling complex calculations, especially with the inability to have a native "Average" function. Hard to keep up with new functionality being rolled out to customers.
What problems is the product solving and how is that benefiting you?
We have been able to bring multiple siloed teams and processes together to have 1 integrated solution for our Business Management team. Allowed consistent forecasting and faster insights into collected data.
infuse more AI capabilities into to streamline processes
What do you like best about the product?
Mostly forecasting and budgeting, it is quite seamless and has quite a user friendly and easy to navigate user interface
What do you dislike about the product?
It is quite a powerful tool but could be even better with full AI infusion
What problems is the product solving and how is that benefiting you?
It eliminates the use of multiple sources such as excel in different locations where you could use excel in one location (PAFE). This makes it easier to retrieve data and present it seamlessly without taking much time
Powerful Platform
What do you like best about the product?
The powerful engine and its efficiency in financial planning and forecasting
What do you dislike about the product?
It can be challenging to learn at times.
What problems is the product solving and how is that benefiting you?
It simplifies budgeting and reporting to help with decision making.
IBM Planning Analytics - The Most Flexible Solution
What do you like best about the product?
IBM Planning Analytics serves as a versatile toolbox, allowing you to tailor your implementation to fit your specific business needs and use cases.
What do you dislike about the product?
Due to its versatility and customization capabilities, IBM Planning Analytics does require a certain amount of effort to design and build a solution that fits your business well.
What problems is the product solving and how is that benefiting you?
IBM Planning Analytics serves as our main platform for planning, reporting, and analyzing our business operations.
Planning analytics
What do you like best about the product?
It's kinda good with reporting and dashboarding stuff.. The graphics are better than among other software.
What do you dislike about the product?
If your team is bigger than it could be the issue.. Because it's only for non technical team members mostly.
What problems is the product solving and how is that benefiting you?
I didn't use it for company purpose.
Easy Data Analysis with Simple Software Tools
What do you like best about the product?
I really like how IBM Planning Analytics streamlines budgeting and forecasting. It automatically updates plans, so you don't have to manually adjust everything. Plus, the real-time data analysis helps make quicker, more accurate decisions.
What do you dislike about the product?
I haven’t really encountered any issues with IBM Planning Analytics. In fact, I think it’s one of the best tools available in the market for planning and analysis.
What problems is the product solving and how is that benefiting you?
IBM Planning Analytics solves the problem of manual, error-prone budgeting and forecasting. By automating these tasks and providing real-time data analysis, it saves time, reduces mistakes, and helps make smarter decisions faster.
Great and ease product
What do you like best about the product?
The platform’s flexibility is impressive — changing assumptions instantly updates financial simulations. It saves time, cuts costs, and turns complex data into clear, actionable insights. Its multidimensional view helps make quick, well-informed decisions.
What do you dislike about the product?
New users may struggle at first due to the complexity of cubes and rules, limiting wider adoption. Performance tends to slow during peak periods like month-end, which can delay processes. More consistency is needed under heavy usage.
What problems is the product solving and how is that benefiting you?
The tool replaces scattered spreadsheets and manual work with a centralized, automated system. It ensures data consistency, traceability, and real-time updates—reducing effort and boosting confidence in analysis and governance.
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