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.
N/A
Quantrix
Score 7.4 out of 10
N/A
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…
N/A
Pricing
Cube
Quantrix
Editions & Modules
Enterprise
Contact us
No answers on this topic
Offerings
Pricing Offerings
Cube
Quantrix
Free Trial
No
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
Required
No setup fee
Additional Details
—
Quantrix Modeler is licensed on a per user subscription basis.
More Pricing Information
Community Pulse
Cube
Quantrix
Features
Cube
Quantrix
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Cube
7.5
Ratings
2% below category average
Quantrix
-
Ratings
Pixel Perfect reports
8.90 Ratings
00 Ratings
Customizable dashboards
6.40 Ratings
00 Ratings
Report Formatting Templates
7.30 Ratings
00 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Cube
8.9
Ratings
9% above category average
Quantrix
-
Ratings
Drill-down analysis
9.60 Ratings
00 Ratings
Formatting capabilities
8.40 Ratings
00 Ratings
Integration with R or other statistical packages
8.00 Ratings
00 Ratings
Report sharing and collaboration
9.80 Ratings
00 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Cube
8.4
Ratings
2% above category average
Quantrix
-
Ratings
Publish to Web
8.20 Ratings
00 Ratings
Publish to PDF
8.50 Ratings
00 Ratings
Report Versioning
8.50 Ratings
00 Ratings
Report Delivery Scheduling
8.40 Ratings
00 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
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.