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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Quantrix
Score 7.4 out of 10
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Quantrix is designed to allow users to address the limitations and risks inherent to spreadsheets when developing business-critical models. According to the vendor, this solution offers unmatched capability for forecasting, planning, budgeting, risk modeling and visual analytics, and also allows users to develop ‘what if’ scenarios and model the financial and operational impact of business decisions. Additionally, the vendor says sharing insight is made easier through the creation of interactive…
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Quantrix
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Quantrix Modeler is licensed on a per user subscription basis.
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.
Overall, I was not part of the ultimate decision to purchase Quantrix. I terms of user-friendliess and robust reporting capabilities I do think Tableau has Quantrix outclassed. That being said, Quantrix does provide more in-depth analyses for our relevant data and provides …
Microsoft Excel, Infor, Tagetik, Palantir Quantrix is not ready to use budgeting and planning tool, it is basically data modeling tool. That makes Quantrix different. You yourself or with help of consultant create model according to your specific business needs. You will get …
In our setting the typical alternative to Quantrix is represented by traditional bi-dimensional spreadsheet applications. We have no experience with business performance management and business analytics solutions aimed at the corporate market that can be considered another …
These are traditional spreadsheet-based software packages. Any trouble you have with Excel you have with these, but that is eliminated with Quantrix. Quantrix is an Excel/Access like application, but so much better because of the things I've previously described in this review.
R and a RDBS is less interactive. Time handling can be difficult. More for statistical purposes.
We use Access and SQL-Server for Data-Handling. RDBS is not multidimensional. Multidimensional databases have a limited function set. Quantrix has both.
Excel..think I beat this one to death already. Great for smaller datasets and simple analytical tasks, but difficult to compare to Quantrix when it comes to complex data modeling efficiently.
Tableau - Have only dabbled with it, and it has a great interface and produces some …
Quantrix handles financial forecasting far better than Excel because of it's object-oriented nature. It allows you to build very complex formulas without making cell range mistakes.
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.
Quantrix Modeler is one of the most appropriate software tools for developing dynamic financial planning models in small teams composed by skilled power users. There is an also Enterprise version supporting larger user bases and stronger integration with company backend systems. It's not advisable to put Quantrix desktop application in the hands of non-skilled staff since the learning curve is much steeper than what's the typical experience with spreadsheets. Adding a table with ad hoc simple calculations can be done by anyone in a spreadsheet, but requires knowledgeable design in a Quantrix model. On the positive side, experience with students in our classes shows that with focused training an user can be become productive in a relatively short time. There is a web version of Quantrix Modeler, Qloud, that is aimed to end users that only modify input data and consume model results, without the possibility of changing the model logic (structure and formulas)
Quantrix gathers info from numerous sources in a single click. Thereby making structure to process sustainable and scale-able. Once the logic is written the data refreshes and you are good to go with furture analysis and planning. There is no need for rework, copying down formulas, etc. In our latest product wheel build process we reduced our time from 3 weeks of time to 2 days to build out product wheels. There was a sharp contrast between Excel ( previous method) and Quantrix.
Quantrix links perfectly to SQL Server which allows us to get actual data quickly, push out forecasts or other data for other systems to consume.
Quantrix range based formula writing and common term formulas are a HUGE time saver. Debugging formulas is a breeze in Quantrix using what is called the dependency inspector. There is no need to copy down formulas; make sure cell ranges are locked etc. It is one formula controlling a multitude of cells that scales as the data set shrinks or grows. Also if there is an error in the formula you have 1 formula to fix not hundreds or even thousands. Common terms in your formulas helps immensely and reduces the amount of headache of debugging your formulas.
Quantrix Scales with ease. Adding additional data or shrinking the data does not require (manual) structure updates to Quantrix. It accordions according to the data imported. Pivoting data and looking at it as well as filtering it and then building off of those filters and pivots is a joy to do in Quantrix!
Complexity - Excel does not have it! Where the vlookup ends in Excel the Quantrix Select statement is just warming up. Functions like: Select, Selects, SelectList, SelectGreaterThan, SelectBetween, SelectLessThan, and one of my new favorites SelectLike in addition to CASE and Switch Logic make Quantrix a dominating force when it comes to writing complex logic in your business model. Quantrix does is beautifully.
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.
Quantrix was able to free the definition of calculation rules from cells. It would be interesting to be able to separate the default template structure from changes when importing data.
Just to be clear to prevent the import (example from a CSV or DB) the creation of new items in addition to those already existing.
An import navigation by level would be interesting. Or to obtain a split of the number on a tree structure (I bring as an example that of Corporate Planning (https://www.corporate-planning.com/de/).
As a further enhancement of the above, it would be interesting to be able to define reports like an explosion of a tree structure.
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.
Microsoft Excel, Infor, Tagetik, Palantir Quantrix is not ready to use budgeting and planning tool, it is basically data modeling tool. That makes Quantrix different. You yourself or with help of consultant create model according to your specific business needs. You will get cost-effective, tailored solution. It is a modeling tool that allows the easy and quick creation of multiple scenarios, conducting “what-if” analysis to accommodate uncertainty associated with forecasts.
Quantrix has boosted profitability and has proven its worth time and again. The platform has put us on the radar doing things even our biggest competitors could only dream of. We are still early in the development and deployment of our Quantrix Qloud based system to clients, but we already have early adopters coming over from competitor systems that cost exponentially more and do significantly less than what we provide. We feel it is only a matter of time for our Qloud driven analytics to become more mainstream in our space.