OneStream vs. Quantrix

Financial Planning / Forecasting, People Planning, and Financial Close and Consolidation are well suite while we are still evaluating GL Account Reconciliations and other solutions available via the Solution Exchange. Overall, we believe OneStream is going to allow us to "get out of excel" and perform Global Consolidation in the system

Incentivized

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• Consolidation of Group Results across 600 Entities
• Flexibility of Reporting through Dashboard Reporting Suite and Excel Interface
• Ability to create Bespoke Models for specific requirements. (Ifrs15/16/BC/DC/Payroll, Covenance Reporting, etc.)
• Singular Cube for One source of the Truth
• Customisable Maintenance Platform to facilitate high growth strategy

• Building complex financial planning model availing of a multidimensional data structure coupled with a powerful formula language, with the immediacy and intuitiveness typical of spreadsheets
• Implement quickly model modifications (new products, new scenarios, new time periods) simply adding new "items" to "categories" (corresponding to dimensions in a multidimensional data model)
• Scale up models to very large datasets with very fast computation times
• Easily import data from text files, other Quantrix models and external databases via DataLink and DataNAV
• Save snapshots of tables computed in Quantrix to external databases via DataPush

Incentivized

• Journal copy feature would be good to have
• The Excel Add in is limited to only one application. Would be good to have the ability to pull from say Dev and Prod so side by side comparisons could be done
• Better interface to handle metadata changes

• Hard to be critical of the Quantrix team as I know they strive to produce the best product possible. I suppose the next thing on my wish list would be the application of the new Solver functionality to be available in the Qloud.
• A big help for new users would be a good book on transitioning from Excel or other environment into Quantrix. I know first hand it can be difficult to transition when having to learn the program through a help guide, forums and tech support. I had a lot of trial and error in my journey to producing the desired models. On one hand it was a valuable method as it taught me a lot of what not to do, but I will admit it was not the most efficient way to do things.
• Would also love to see local user groups being formed at some point in the future. Quantrix puts on a fantastic conference once a year in beautiful Maine, but it is a big journey for someone in Southern California (and limited to one or two days a year). I would like to see some local chapters formed in different areas of the country so local Quantrix users can get together more often and collaborate (maybe a quarterly or semi-annual meetup?). Our Quantrix community is still relatively small and may be a difficult task for some areas, but is also the very reason why this would be great idea.

Currently we are using OneStream with people 80 - 100 to load the PL, BS , Forecast budget and People Planning. OneStream give us more visibility on trend and way forward thinking. Thanks to OneStream for the tool which helps the business in growing way. Thinking of innovation OneStream is right path.

Incentivized

Overall usability as an end-user is very easy. There are more people in the system getting information now than the prior platform used. People are gathering their information quicker as well. From an administrator standpoint, there are fewer glitches and issues than the prior platform. This is very good.

Incentivized

For a newbie it can be difficult until you get the hang of the system. Quantrix is a very logical system, once you understand its underlying ideas.

OneStream support is focused on the infrastructure. Which means mainly when there issues with accessing to the system, they will be able to help. When the question is to much leaning towards functional it really becomes billable. The other issue is that the response time is not optimal. There is a lot of pingpong of messages and the time between the message can sometimes be long. Sometimes this result into a simple ticket to be taking days before it is closed.

Incentivized

onestream offers a range of training. I have attended a number of trainings. During the trainings a vast amount of information is discussed. The trainings also include exercises. The speed of the training is pretty high. When reviewing the training material afterwards, I found that the material is not complete as reference as it relies also very much on the verbal explanation and elaboration.

Incentivized

OneStream is the overall clear winner against HFM. There are a few things HFM does better (a couple things in Smart View), but it just doesn't have as much capability. The single, integrated platform that OneStream is provides a massive upgrade from HFM.

Incentivized

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 better modeling for our forecasts out of the box. The accuracy of the tools output is also much better

Incentivized

• Customers have moved from multiple EPM systems as well as multiple EPM applications to OneStream.
• Their ROI has been quite high as lesser admins are required, no need to move data back & forth, no need for an additional dashboarding / BI tool, once a user is on OneStream can leverage it for more than 50+ use cases at no additional license cost.
• Automation, direct integration, scheduling, complex calculation capabilities, all help to further improve ROI and free up the time for the team to do value-adding tasks.
• Last but not the least is the confidence on the numbers is much higher.

• Capacity forecasting used to take hours to calculate with a ton of manual modifications. Quantrix has automated that so a model can be updated at any time with a click of a button
• The accuracy of the models is incredible. It took some tweaking to add in data scubbers, but now it runs almost flawlessly
• The confidence the management teams have in the output of the model is amazing. Before, people would question the output, have you rebuild it, and then compare. Now the report comes out and the output has high confidence.

Incentivized