OneStream vs. SAP Analytics Cloud

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

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>> Using SAC predictive analytics capabilities for inventory management in a Production line setup has helped generate Purchase Requisitions and Purchase Orders for raw or semi-finished goods without much head-banging into Demand management rules. It does it beautifully with seamless integration with HANA core MM and PP modules, along with BI integration. It has resulted in 30% greater warehouse storage capacity, thereby saving revenue from piled-up inventory and associated manpower costs. >> SAC sometimes shows latency in working out a large data set, thus giving a poor user experience compared to its competition. Also, it may occasionally show misinterpretations when embedding data from 3rd-party systems into the HANA core dataset.

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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

• It makes it easier yo analyse order and related records easily.
• We can easily maintain and track the performance of employees in organisation.
• Can easily track various aspects for the growth of an organisation thus allowing real time analysis and tracking of organisation's growth and performance.

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• 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

• Complexity in Data Modeling
• SAC supports various data sources, but improvements in the ease of connecting to and integrating with certain data repositories, especially non-SAP databases, would enhance the platform's versatility and integration capabilities.
• An offline mode for SAC could be valuable for users who need to access and analyze data without an internet connection. Additionally, optimizing performance for large datasets and complex visualizations would contribute to a smoother user experience.

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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.

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We are planning to review the licensing as we have issues with SAC dealing with huge datasets. Analytics area is good for import models but when we have live connections in place that's when we have issue with SAC dealing with huge datasets in live be it BW or be it HANA models in the backend.

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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.

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I landed on a 7 out of 10 for a few key reasons. The tool is flexible in the sense that we are using very very very (very) little off the shelf solutions and customizing to our needs. Users enjoy having the customized data actions, key variance calculations, and easy to use headcount/salary planning in the same tool. One downside is that users are hard to please when they are used to excel. SAP Analytics Cloud simply is not excel, and the flexibility of excel in a crunch is not there.

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I would rate SAP Analytics Cloud an 8 out of 10 for scalability. It offers a flexible, cloud-based architecture that supports expansion across departments and geographies. The platform adapts well to growing data volumes and user needs, making it a strong choice for organizations looking to scale analytics capabilities efficiently.

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I would rate SAP Analytics Cloud’s performance an 8 out of 10. Pages generally load quickly, and reports run within a reasonable time frame, even with complex datasets. Integration with other systems is smooth and doesn’t noticeably affect performance. Overall, it’s a responsive and efficient tool for business analytics. But

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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.

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Since the implementation stage, the support team has been very helpful and assisting. Even in the later stages, the tech team had quite a rapid response. In general, SAP has provided us with great customer support, let it be for a specific product of SAP or for integration of different modules.

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Good videos and reference material available in SAP Portal.

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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.

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In hindsight, it would have been easier to have someone there in person. Questions were answered, but with 11 participants, it got a bit chaotic online

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SAC is a simple solution ad it works fine when connecting it to other SAP tools. On the other hand, connecting it to third party solutions brings difficulties when there's no previous design and the objetives are not clear. It is really important to integrate Business users from the start to provide with valuable business insights

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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.

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SAP Analytics Cloud and Power BI are both tools that help businesses understand their data, but they have some differences. SAC, made by SAP, works well if your company already uses other SAP products. It's in the cloud, easy to use, and has features for analyzing data, getting insights, and planning for the future. Power BI, made by Microsoft, can be used in the cloud or on your own computers. It fits well with Microsoft tools, is easy to use, and can do advanced data analysis. SAC has built-in planning tools, while Power BI needs extra tools for detailed planning

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unit pricing

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Is good for use across multiple locations. It allows users to access data and reports from anywhere, regardless of their location. Can consolidate data from various sources, including different SAP systems and external sources, which facilitates cross-location analysis. SAC enables access to data and models from SAP Datasphere to create new stories. Detailed permissions can be defined for cross-departmental use.

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very simple

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• 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.

• Many manual data manipulations and exports in Excel have been replaced by the tool, providing management with improved insight into the amount of time spent at each stage of an invoice's lifetime, allowing bottlenecks to be discovered.
• We now have more insight into the data, and people with little technical experience can easily build stories.

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Invited by the Vendor

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info