Cube is a financial planning & analysis (FP&A) platform that aims to enable finance teams to be more strategic and positively contribute to company growth activities by spending less time on manual, repetitive task, from Cube Planning headquartered in New York.
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IBM Planning Analytics
Score 8.8 out of 10
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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…
Cube lacks a lot of the forecasting and planning capabilities of other FP&A tools in the market, but it excels at providing flexibility in aggregating data from multiple places into a single source of truth and then building reports driven off of that data. Cube is very …
Cube has an easier implementation and functionality is appropriate, quick-to-learn and a perfect match for an organisation of our scale and growth. There is less flexibility in the reporting & formatting in-built in Cube, and it's a far way off the in-built modelling …
Cube was the most flexible while still doing everything we need it to do. Because it is a spreadsheet native platform we could quickly and easily integrate it into the processes we already had. While at the same time learning how Cube worked so that we could fully leverage its …
Cube support team is much more willing to help. Cube product team is adding new features at a faster pace. Cube is more functional within excel. Cube has better version control and general ledger organization. Cube customer service is incredibly helpful and their team is full …
Cube was chosen because of its price, customer support and ease to integrate and learn. my team learned it pretty fast and their customer support team consists of ex-fpa folks so they know the problems that the users deal with on a day to day. they gave us a good plan to …
Cube was just a lot easier to use than Vena. We took some time to look at Vena as well and while their product was impressive, our organization was not yet there. We needed something we could implement quickly, and in today's day and age I think that is a very important quality …
Cube is a much simpler and easier to use platform compared to its competitors. The setup was extremely easy, and required almost no help from IT. The big standout difference was the cube support team though. They were available from start to finish when implementing the …
Causal is a much more sophisticated product, but would require that we completely switch away from all of our current models and using google sheets. Cube allowed us to continue operating as is, but with a quicker data connection.
Workday Adaptive Planning was too cumbersome to implement. It was expected to take 6 months to implement it + teething issues. This would be after you know exactly what you want. With our business that is going through significant growth year on year and things rapidly changing, …
90% of what Hyperion offered Cube offers. Cube is missing the drill down feature which I believe is its biggest flaw. If you have revenue you cant double click on revenue and have it blow out all the revenue accounts at the lowest level. For companies that have hundreds …
I guess Oracle PBCS is more suitable for a larger organization. Thus with a small company lie us that require agile planning and reporting, it's not as good of a fit.
Cube is a much more cost-effective tool that is also much simpler for the business to manage. It does not require an in-house IT team and the admin functionalities are very straightforward.
We switched to Cube because of its ease of use. Adaptive had way too many moving parts and was too restrictive for what we were trying to achieve. With a small Finance team, it was hard to have multiple people be power users of Adaptive vs Cube which was extremely intuitive for …
Other products are more robust than Cube Planning (Anaplan, Vena) but the price tag is also way higher. Cube Planning provides us with flexibility, customer support, and overall great value for money
Planful was just a bit too advanced (and costly) for what we needed at this point of our company (much like Adaptive). With those types of platforms, you really do need a consultant to help create the needs specific to your personal business, which ends up adding costs. Causal …
Cube is more affordable than other finance products that are out there. I have also tried Plan Guru, but ran into issues as Plan Guru desktop version was only for PC's and cloud version did not have the same capabilities as the desktop version, so it was a catch-22.
It was the ease of implementation, the speed to be up and running, the competitive price, and the continued support that sold us on Cube compared to other software.
It includes Oracle Cloud EPM Planning, Anaplan, and Adaptive Insight before deciding to choose IBM Planning Analytics. We selected Planning Analytics because of its work with complicated and many area models, the capability to work with big amounts of data, and compatibility …
Other options, namely Anaplan, Oracle EPM Cloud, and SAP Analytics Cloud, were also considered. Anaplan's interface lacked analytical depth. For product design metrics, flexibility was not as good in Oracle EPM Cloud. The final choice was moved by the fact that it was driven …
Prior to making the decision to go with IBM Planning Analytics, we had considered such options as Anaplan, Oracle Hyperion, and SAP Analytics Cloud. Despite the collaborative solutions offered by Anaplan and the good connection with other systems by SAP, the superb set of tool …
In this case, Vena and Planful are considered as other products that can be compared with IBM Planning Analytics, but among them, IBM Planning Analytics is more optimal in terms of user interface and integration. Its preconfigure risk assessment model and its format and …
This was an older verions that was also very good, but the new IBM Planning Analytics is a far better tool that enables better scenario planning or what-if analysis.
Planning Analytics integrates seamlessly with Cognos Analytics to support all aspects of our Financial Reporting against both dimensional (TM1) and relational and ad hoc data sources
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.
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 …
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 …
1) The budget process. In QBO the budgeting capability is non-existant, unless you like manually typing in every scenario and not being able to budget by class. Cube houses my budget/forecast scenarios & lets me view and analyze by my company's preferred data points; department, GL account, vendor, & sales campaign. I'm able to run monthly budget variance reports and plan for the future with ease. 2) We've begun using Cube to help analyze profitablity by sales job. We've never had such easy access to this type of info in the past, so this is a benefit I can directly attribute to Cube. 3) We're beginning now to use an integration with our payroll software to work on headcount planning and payroll analysis.
For a CFO or a COO to do budgeting and planning, IBM Planning Analytics would be essential. It is a tool that can take in multiple data sources and showcase them in a multidimensional way. If you are looking just for a BI or reporting tool, Planning Analytics would be considered "overkill".
Limited to 8 top line dimensions. Although you can bring in as many attributes of data as you want, but I would really like Cube to increase top line dimensions to 10.
The ability for cross level interaction within multiples cube would be a major plus once implemented.
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.
IBM Planning Analytics is generally good in terms of functionalities. It can be used reduce time for budget planning, resource planning, demand forecasting, etc. The performance of IBM Planning Analytics is acceptable, but user interface can be improved. It would be good to see new features that allow users to customise the dashboard.
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
Cube was just a lot easier to use than Vena. We took some time to look at Vena as well and while their product was impressive, our organization was not yet there. We needed something we could implement quickly, and in today's day and age I think that is a very important quality to have. Start up and early stage companies do not have the luxury of implementation teams and massive IT resources so Cube was a huge help.
For strong technical teams and flexibility IBM Planning Analytics is the way to go. For quicker adoption and less technical teams Anaplan is the best option. If consolidation, financials, and moving from legacy tools are main focus than OneStream will be a really good choice. If deeply invested into SAP already than the SAP BPC will be the best fit to maintain the investment.