Overall, I would rate the solution a nine out of ten. My recommendation: Check for a solution that is similar to your needs because it's not easy to understand how it works sometimes. If you see a similar solution, you can easily compare. Every year, there's a big conference where customer solutions are shown to other customers. So it's really important to have resources who have knowledge of the product.
IBM Planning Analytics is used for cross-departmental planning and forecasting by our customers. Different versions of the planning can be used, such as budgets and projections based on monthly results. The system keeps all historical data and tracks the development from projected numbers. IBM Planning Analytics supports compliance and risk management within financial operations. It enables the calculation of impacts, such as increased interest rates, across various business areas. The effectiveness of risk management depends on the system setup and how risks are defined by the company. In financial planning, IBM Planning Analytics aligns with current trends, including the use of AI and leveraging unstructured data. It is capable of handling large amounts of diverse data types. While it is unclear if IBM fully incorporates AI, it likely follows the trend as many companies do. Before using Planning Analytics by IBM, consider your planning process and how it can be simplified. Understand that the system won't solve all issues on its own. Overall, I would rate IBM Planning Analytics as a nine out of ten.
The product has improved our company's forecasting accuracy since it serves as a very useful tool for our sales and controller teams as they easily get to enter the inputs using views in TM1, which gets loaded into our main database. If there are sales team members in different parts of the world, like in Hong Kong and Singapore, they may prefer to use IBM Planning Analytics, which is easy to use when compared to the Excel tool. Speaking about planning analytics and data analysis, I would say that our company used to use IBM Cognos Analytics for reporting, where we used to use Cognos Dynamic Cubes so that users can easily use its drag and drop features while getting to see the data for which the users had to wait for two to three minutes prior to its use. In our company, tons of data are loaded into the memory, and users can use Cognos Dynamic Cubes to analyze data and understand it. The AI capabilities of IBM have benefited our planning strategy as they are very useful for business. The tool allows the easy creation of dashboard reports using AI capabilities. No technical knowledge is required for business use cases. It is possible to integrate the product in scenarios where some new integrations are available. I remember that my company used Azure Data Factory to connect Azure, Oracle, and IBM WebSphere Application Server. When it comes to IBM Planning Analytics, it is complex to integrate it with LDAP and or any other authentication tool offered by Microsoft. In our company, some users like to integrate IBM Planning Analytics with the common LDAP or Microsoft AD, which we currently use for all our applications. The authentication part is difficult to configure with IBM Planning Analytics. The maintenance of the product is easy. My company has scheduled maintenance on the product every week, especially during forecast times, so that memories automatically lapse and users can freely access their servers. The use of the tool has had an impact on collaboration within our company's planning team since everyone knows how to easily access the data and publish the results. I recommend the product to those who plan to use it. I rate the tool a nine out of ten.
Senior BI Consultant at T.C.C. Technology Company Limited
Consultant
Top 20
2023-06-09T07:38:00Z
Jun 9, 2023
We have enterprise customers for the solution. You can use the solution if you are looking for a flexible product. It's flexible to adapt to any business model or industry.
It is a great tool. It is quite advanced. There is not really any other equivalent on the market right now. To implement this type of tool, you need to be surrounded by a good partner to make sure that you can benefit from it. Implementing TM1 is not just about financials. It is also about understanding the data structure and making sure that you have a good design in the backend to take full advantage of TM1. I've been in this industry for about 30 years, and I really like Planning Analytics. I would rate it a 10 out of 10. It is absolutely one of the best.
Expert EPM (TM1 Cognos BI) at a tech services company with 201-500 employees
Real User
2021-01-25T03:15:22Z
Jan 25, 2021
Basic level users cannot develop the application. However, you might manage to develop it, but you make a big risk that you will develop not following best practice. The cube population might be voluminous, and the calculation could be too slow if you do not respect some best practices. I rate IBM Planning Analytics a seven out of ten.
FP&A Manager at a leisure / travel company with 501-1,000 employees
Real User
2020-07-12T11:48:43Z
Jul 12, 2020
My advice is that if you are going to be using IBM Planning Analytics, make sure that you get your data structure correct ahead of time. You will need to add a separate reporting tool. In the next release, I would like to see reporting joined in with the tool. I would rate this solution a four out of ten.
IBM Planning Analytics is an integrated planning solution that uses AI to automate planning, budgeting, and forecasting and drive more intelligent workflows.
Built on TM1, IBM’s powerful calculation engine, this enterprise performance management tool allows you to transcend the limits of manual planning and become the Analytics Hero your business needs. Quickly and easily drive faster, more accurate plans for FP&A, sales, supply chain and beyond.
Overall, I would rate the solution a nine out of ten. My recommendation: Check for a solution that is similar to your needs because it's not easy to understand how it works sometimes. If you see a similar solution, you can easily compare. Every year, there's a big conference where customer solutions are shown to other customers. So it's really important to have resources who have knowledge of the product.
IBM Planning Analytics is used for cross-departmental planning and forecasting by our customers. Different versions of the planning can be used, such as budgets and projections based on monthly results. The system keeps all historical data and tracks the development from projected numbers. IBM Planning Analytics supports compliance and risk management within financial operations. It enables the calculation of impacts, such as increased interest rates, across various business areas. The effectiveness of risk management depends on the system setup and how risks are defined by the company. In financial planning, IBM Planning Analytics aligns with current trends, including the use of AI and leveraging unstructured data. It is capable of handling large amounts of diverse data types. While it is unclear if IBM fully incorporates AI, it likely follows the trend as many companies do. Before using Planning Analytics by IBM, consider your planning process and how it can be simplified. Understand that the system won't solve all issues on its own. Overall, I would rate IBM Planning Analytics as a nine out of ten.
The product has improved our company's forecasting accuracy since it serves as a very useful tool for our sales and controller teams as they easily get to enter the inputs using views in TM1, which gets loaded into our main database. If there are sales team members in different parts of the world, like in Hong Kong and Singapore, they may prefer to use IBM Planning Analytics, which is easy to use when compared to the Excel tool. Speaking about planning analytics and data analysis, I would say that our company used to use IBM Cognos Analytics for reporting, where we used to use Cognos Dynamic Cubes so that users can easily use its drag and drop features while getting to see the data for which the users had to wait for two to three minutes prior to its use. In our company, tons of data are loaded into the memory, and users can use Cognos Dynamic Cubes to analyze data and understand it. The AI capabilities of IBM have benefited our planning strategy as they are very useful for business. The tool allows the easy creation of dashboard reports using AI capabilities. No technical knowledge is required for business use cases. It is possible to integrate the product in scenarios where some new integrations are available. I remember that my company used Azure Data Factory to connect Azure, Oracle, and IBM WebSphere Application Server. When it comes to IBM Planning Analytics, it is complex to integrate it with LDAP and or any other authentication tool offered by Microsoft. In our company, some users like to integrate IBM Planning Analytics with the common LDAP or Microsoft AD, which we currently use for all our applications. The authentication part is difficult to configure with IBM Planning Analytics. The maintenance of the product is easy. My company has scheduled maintenance on the product every week, especially during forecast times, so that memories automatically lapse and users can freely access their servers. The use of the tool has had an impact on collaboration within our company's planning team since everyone knows how to easily access the data and publish the results. I recommend the product to those who plan to use it. I rate the tool a nine out of ten.
I rate the solution a ten out of ten.
We have enterprise customers for the solution. You can use the solution if you are looking for a flexible product. It's flexible to adapt to any business model or industry.
I recommend IBM Planning Analytics and rate it at nine out of ten. It's a great tool.
I would recommend Planning Analytics to other users as it's user-friendly, accessible, and flexible. I'd give it a rating of nine out of ten.
It is a great tool. It is quite advanced. There is not really any other equivalent on the market right now. To implement this type of tool, you need to be surrounded by a good partner to make sure that you can benefit from it. Implementing TM1 is not just about financials. It is also about understanding the data structure and making sure that you have a good design in the backend to take full advantage of TM1. I've been in this industry for about 30 years, and I really like Planning Analytics. I would rate it a 10 out of 10. It is absolutely one of the best.
I rate IBM Planning Analytics a nine out of ten.
I rate IBM Planning Analytics eight out of 10.
Basic level users cannot develop the application. However, you might manage to develop it, but you make a big risk that you will develop not following best practice. The cube population might be voluminous, and the calculation could be too slow if you do not respect some best practices. I rate IBM Planning Analytics a seven out of ten.
I would rate this solution an eight out of 10.
My advice is that if you are going to be using IBM Planning Analytics, make sure that you get your data structure correct ahead of time. You will need to add a separate reporting tool. In the next release, I would like to see reporting joined in with the tool. I would rate this solution a four out of ten.