IBM Planning Analytics, powered by IBM TM1®, is an integrated planning solution designed to promote collaboration across the organization and help keep pace with the speed of modern business. With its calculation engine, this enterprise performance management solution is designed to help users move beyond the limits of spreadsheets, automating the planning process to drive faster, more accurate results. Use it to unify data sources into one single repository, enabling users to build…
While for freelancers/small business owners we still recommend LivePlan given higher subscription cost of IBM Planning Analytics. But for a large business, nothing compares to IBM Planning Analytics.
Why IBM Planning Analytics when compared to Oracle Hyperion: Better excel integration Less data movement and duplication Better cloud offering More aforeable licensing
IBM Planning Analytics with Watson will be up and running more quickly and be easier to maintain if modeling flexibility, scale, and the ability to plan at greater levels of detail are important requirements.
Compare to its competition it has good visual and graphical interface that helps to customized according to user needs. It helps to apply the best possible algorithm according to different model scenario that provides the best possible results. Predictive forecasting and AI …
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Analyst
Chose IBM Planning Analytics
I am personally trying to explore the features of SAP Analytics Cloud in order to find if it's possible to integrate other sources of data and api based integrations, but I'm still on it while using the IBM planning analytics for my project currently. But looking at the intial …
I worked with Hyperion a long time ago. It was not a Oracle product yet. One great feature of this solution that was really great at the time, was the modeling process of ir, with a very robust engine for sparse cubes. the performance was excellent at the time. But today I can …
IBM Planning Analytics with Watson is much more flexible and scalable in comparison. IBM PAW is the clear winner for our organization's successful planning and analysis needs.
Anaplan does not handle sparsity; this is very problematic for large volume data sets (many 0's). There also are limitations to the number of dimensions that can be used in a module. If more dimensions are required, then separate modules need to be built and intertwined. IBM PA …
Because of its ability in planning, budgeting and forecasting or work progress.it has made it easy in driving sales hence profitability and lowering costs,also with ability to forecast the decision making has never been made this easier. The reasons for selecting are on its …
I compare this software with the previous one i have used i.e. SAP, IBM have the greater speed and hence is fast in implementing plans and conducting other calculations. In comparison to past experience, an allocation that almost takes 10-12 hours in another tool was created in …
IBM allows to build flexible models from the scratch. IBM Planning Analytics with Watson does not include non-planning features in one package, so you don't pay for something you may not need.
Other tools include Essbase, Outlooksoft, and BPC. When comparing the length of the implementation and the speed of the engine, IBM is the fastest on the market. I have not yet found a calculation or planning approach that cannot be done with IBM PA. In one situation, an …
During our process of buying a planning and forecasting tool, we found IBM planning analytics was offering an affordable price compared to others software in the market offering the same services. also, there were many positive reviews on the internet that convinced us that we …
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Consultant
Chose IBM Planning Analytics
IBM Planning Analytics with Watson does quite well in comparison to industry giants although it does have room for improvement. Many of our clients are also well accustomed to Oracle for instance. So it's user-friendliness that helps some tools get ahead of others. The more you …
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Employee
Chose IBM Planning Analytics
I think the IBM Planning Analytics is quite easy compared to others even though it will be a bit difficult for us to use in beginning but once we learn how to use it, it is piece of cake and also provides many advanced features. The customer support is also very good
I would be likely to recommend IBM Planning Analytics, particularly in scenarios where comprehensive financial and operational planning is essential. For instance, in our construction company, it is awesome for optimizing resource allocation across multiple projects, creating detailed project budgets, and conducting risk analysis to mitigate project uncertainties.
IBM Planning Analytics was an upgrade from an older version of TM1 that is experiencing some growing pains, some functionality is harder to reach than it has been in the past
It is easy to learn as a surface user with created reports, but it does require some technical skills to make advanced calculations and reports if there is no reliable consultant available, much like Excel
Since IBM Cognos Express is suitable only for medium data warehouse environment, we are not sure if this tool solves the long term need as the business keeps growing rapidly. So its a 50/50 ratio to renew Express license. But having said that, the components of IBM Cognos Express are also available in other Cognos BI suites like Cognos 10.x version. So we will probably upgrade our environment to IBM Cognos 10.x which comes with more new features.
For developers, admins and end users looking for flexibility, IBM Planning Analytics would rate very highly on usability. For example, a developer has access to a highly performant built-in ETL (Extract Translate Load) tool and scripting language called Turbo Integrator that can (among other things) bring in data via flat file or direct connection from many data sources, move data around Planning Analytics, perform batch calculations, export to files or other data stores. In the rare situation where limitations are encountered there is a well documented REST API. Admins and end users benefit from the intuitive PAW (Workspace) interface as well as the rich Excel integration through Planning Analytics for Excel (PAfE). Since flexibility inherently comes with a little more complexity, so an organization with simple and "cookie-cutter" requirements may rate Planning Analytics a little lower.
Although I find the IBM Planning analytics documentation quite time consuming, their support with email and call is something i can term as very considerate and patient, I have had few calls about the features and how i would want to implement them within my projects, and the teams have been super helpful to resolve my issues
Anaplan does not handle sparsity; this is very problematic for large volume data sets (many 0's). There also are limitations to the number of dimensions that can be used in a module. If more dimensions are required, then separate modules need to be built and intertwined. IBM PA does not have these limitations.