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…
$825
per month 5 users
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
IBM Planning Analytics
Quantrix
Editions & Modules
Essentials
$825
per month 5 users
Standard
$1,650
per month 10 users
No answers on this topic
Offerings
Pricing Offerings
IBM Planning Analytics
Quantrix
Free Trial
Yes
Yes
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
Optional
No setup fee
Additional Details
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Quantrix Modeler is licensed on a per user subscription basis.
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 …
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.
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".
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.
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.
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
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.
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.