Anaplan is a scenario planning and analysis platform designed to optimize decision-making in complex business environments so that enterprises can outpace their competition and the market. By building connections and collaboration across organizational silos, the Anaplan platform surfaces key insights.
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Cube
Score 8.9 out of 10
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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.
Anaplan vs Oracle Hyperion - Anaplan is far better calculation engine and way more modern. However, Anaplan still struggles to provide reporting, especially adhoc reporting in excel based off a data model.
Anaplan vs Pigment - Anaplan is a more proven product, however, Pigment …
Anaplan is easier to implement, easier to use, easier to maintain than these tools. It scales easily with the business. Workflows are easy to implement. It is easy to drill down and understand how the tool obtained a specific result, giving confidence in its calculations. …
Easy of use is Anaplan's main advantage. As Anaplan is code-less configuration, and the logic for model building is by far the simplest, it would make the learning curve less steep. This is very important when we are showing our clients that, their complicated planning scenario …
Anaplan is one of the only tools flexible to handle bespoke commission calculations. In addition to Sales Performance Management, Anaplan can be used to support other business functions, such as workforce planning or financial planning & analysis. Anaplan provides the …
Anaplan is a proven tool for scalable applications and is flexible to support multiple use cases. Its support is established and the user community is strong. Resources to support the product are readily available.
Anaplan is more powerful than Pigment considering that it is an Enterprise class system and is able to manage bigger data sets. Anaplan allows for advanced scenario modeling and formula capabilities along with custom reporting functionalities. Anaplan has proven its …
Anaplan and these other tools are very similar. I cannot say that I selected Anaplan over them as I have worked with and been involved with setting up a number of tools for clients. They all have their advantages and Anaplan is a very strong tool in the cloud planning space.
can be implemented across multiple use cases- also Anaplan is an enterprise solution. Had good reviews in market and also used by other competitors in industry
Both platforms are excellent but come with some challenges. They are often complex to configure and offer limited customization options. Their user interfaces are not very intuitive, and their reporting capabilities are somewhat restricted. The total cost of ownership is …
In my professional experience, I've exclusively worked with Anaplan. The tool's impressive features made learning it an ongoing, engaging process. Its continuous updates and capabilities kept me consistently learning and adapting, so I never felt the need to switch to a …
The tools generally fill different niches, Anaplan is the best for corporate and enterprise planning, OneStream's strengths are in Consolidations and working with large data sets by IT, and Pigment is a strong contender for finance teams at small organizations with less-defined …
Compared to OneStream and Venna Anaplan offers a more modern look and feel of the platform. It is better situated and maintained in regards of platform updates as it's a full SaaS software there are never any issues with the system version as it's always automatically up to …
Anaplan is using hyper block, so calculation is faster. The implementation of Anaplan is also very straightforward, so COE team can quickly catchup on the solution. If additional functions are required after go-live, COE can also support the implementation by themselves. …
Managing spreadsheets in Excel or Google Sheets becomes too time consuming as the business and team grows so transitioning to a tool like Anaplan is a natural evolution. I have used Power BI as a complement to Anaplan in the past in order to make the data that was consolidated …
Anaplan is cloud based which automatically removes the pain and risk that comes along with emailing around different versions of spreadsheets. Concurrent users can interact with different parts of the model at the same time greatly improving time spent adding inputs to the …
We selected Anaplan because of the breadth of their vision and their approach to tackle "planning" of all kinds and integrate planning processes into a true Connected Planning ecosystem. We found that their flexibility and ease of use ultimately provided a better avenue to …
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.
Anaplan is best suited for strategic planning initiatives in industries like CPG, Manufacturing, FS, Pharma. It can handle multiple use cases for each function in the company like Supply chain, Finance, Sales and more. It is one of the best tools I have seen in scenario modelling. It is not suitable for very detailed level planning, essentially execution level eg. Production scheduling.
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.
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.
Anaplan is already an established market leader in enterprise planning area. Its flexibility to build multi-dimensional models, real time scenario plannings are proven to be the best features and successfully implemented by global organizations. Anaplan's ambitious product team is ensuring to roll out new features regularly based on customer/ partner feedback. e.g their new improved polaris environment has strong potential to build very large models without worrying about sparsity. The integration with other tools/technologies is being easier (e.g. cloudworks). Hence, considering Anaplan as a platform that has proved to be successful tool in enterprise level planning, its focus on regular feature enhancements and future release roadmaps I believe this platform has potential to evolve further along with our business processes and requirements
Anaplan is interesting because it is at the same time easy to use and difficult to use. An end user can navigate a well-constructed app, being pointed in the right direction every time they feel a slight bit of confusion, and find everything they need in what feels like a straight line. Similarly, a model builder (developer of sorts) can have the exact same experience, but the journey is longer and more complicated. End users have great experiences with Anaplan, but sometimes model builders have a frustrating one. That is not to say model building is hard (because it truly is not), but things change, and when things change in complex systems, the effort required simply to investigate where a model builder needs to make an adjustment may frustrate them but also frustrate their non-technical bosses. However, the reality is that with complicated businesses, complicated business problems, come complicated solutions. It is actually a testament to Anaplan's capabilities that it has taken on the biggest problems at the biggest companies. It may be daunting to adjust it in those environments, but at least you know it did meet the needs there, which is more than most tools can say.
There are very few outages. Maintenance is scheduled on two or three Saturdays per month, so as not to affect businesses. When there is an outage, users are kept informed of progress to restore the platform and typically this takes no more than an hour. Anaplan customer support is very responsive if we ever have questions about platform issues
Generally, pages load quickly and reports complete within a reasonable timeframe. However, when working with large or complex datasets or during times of multiple active users, performance can sometimes be impacted. That said, much of the performance depends on how the model is built and whether best practices have been followed. Optimized models tend to perform much better, so the experience can be somewhat subjective based on the setup.
Support quality has dropped since Thoma Bravo has taken over. I think some serious re-focus needs to happen here -- part of the beauty of being in the Anaplan community was how involved you felt in it before. Before I didn't dread sending a support ticket, now I am starting to.
In my opinion, in-person training is always the best if you have the option to do so. This allows real-time interactions with the instructions, whereas the online training I took required me to write-down questions, email them, and wait for responses. This slows down the process, as you can imagine. That said, in-person training is an extra cost and it likely isn't needed for everyone. I would suggest selecting a small number of people to take in-person training and then having them act as mentors to the rest of your team. That way, as the rest of the team takes the online training, they have a resource to help them in real time.
Learning made easy . One of the best trainings i have attended. Training was very detailed training by the trainer, which helped me understand the basics of the model building. Level 1 training was easy and instructor was most helpful here. Level 2 training was challenging but was able to go thru due to understanding of the basics.
Agile methodology and breaking the work down into sprints was very helpful. Implementation required a deeper dive into our data than expected for the consultants to be able to construct the data model. But once it was in place, the focus on knowledge transfer enabled us to be able to use the product effectively after the team rolled off.
Anaplan is one of the only tools flexible to handle bespoke commission calculations. In addition to Sales Performance Management, Anaplan can be used to support other business functions, such as workforce planning or financial planning & analysis. Anaplan provides the scalability needed for an enterprise-level solution. While taking longer to implement, it also can provide a greater ROI.
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.
We have managed to leverage Anaplan for financial planning and forecasting across the business. It is now used by almost every department, with more than 50 users (but I know of companies that have hundreds of users) and still the platform is quick and reliable. It is easy to make changes to divisions and departments or add users and apply different user settings - the core part of the model is not affected and end users can continue their work without any disruption
Reduction in time spent by sales ops team in processing compensation by almost 20 %
Ability to drill down into each compensation calculation to understand the details of how the comp is calculated. This has provided more transparency / traceability to end users
we are able to release updates to the system faster as it is easier to maintain and sync
