Oracle Fusion Cloud Enterprise Performance Management (EPM) is a solution that helps users model and plan across finance, HR, supply chain, and sales, streamline the financial close process.
$250
per user/per month
SAP Analytics Cloud
Score 8.2 out of 10
N/A
The SAP Analytics Cloud solution brings together analytics and planning with integration to SAP applications and access to heterogenous data sources. As the analytics and planning solution within SAP Business Technology Platform, SAP Analytics Cloud supports trusted insights and integrated planning processes enterprise-wide to help make decisions without doubt.
Pricing per user varies by component within the Oracle EPM Cloud solution. Please see pricing information for the EPM Cloud components on cloud.oracle.com or contact Oracle Sales at +1.800.633.0738.
A 30-day trial with SAP Analytics Cloud is available, supporting analytics enterprise-wide. A trial can be extended up to 90 days on request.
It is a top 3 product in its class. Having used EPM the most I would rate it the highest. Also used PBCS very successfully. This was selected as the path of least resistance. The upgrade was from HFM to EPM Cloud using JDE as the GL.
It is well suited in a geographically distributed environment where you have various key participants in multiple time zones providing input and necessary explanations on performance and measured success It is less appropriate where you have a single office environment with a single finance department working together. It is also less suited when the GL is NOT an Oracle product and the interface between the GL and the reporting software needs to be implemented with utmost care and handling.
>> 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.
Account Reconciliation CLoud Services provides tight integration with Oracle R12 and 11i . Provides drillback capability. It is flexible and provides rich functionality to users.
We have implemented ARCS on cloud and migrated planning and budgeting from On premise to PBCS and EPBCS. Functionality is onpar with onpremise. Provides regular updates monthly
We don't need to upgrades every year and saved a lot on Hardware.
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.
The limitation of constrained out of the box dimensions that requires ripping the initial implementation to add the new dimensions is a major drawback.
Smartview interface is cumbersome for many.
The only financial adapter is available for integration for other modules we have to go with file-based uploads which is cumbersome and not real-time.
It is very costly in terms of licensing unlike other Oracle products.
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.
We have a pretty good userbase who are at the high level who gained value from this tool. Discontinuing this tool is prone to impact their day to day operations. Also the data in this tool cannot alter the source, which maintains the integrity of this tool. Smartview is a cool addition that gained lot of traction as well.
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.
It produces consolidated multi currency reports faster and more accurately whilst adding additional pivotal functionality. The Smartview reporting is a key for us and a flagstone of the application
On a scale of 1 to 10, I would rate 8 SAP Analytics Cloud's overall usability as a 7. SAC has a clean, modern user interface with drag-and-drop features. It is an integrated platform that combines reporting, planning, and predictive analytics in one tool. It has Real-time connectivity with SAP data sources like S/4HANA.
Self-service analytics capabilities allow non-technical users to build simple dashboards.
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.
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
Support from our implementation partner is a 10/10, but support from Oracle is awful. Case in point: recently over a 2-day period, there were a series of intermittent outages. Oracle actually asked US for the outage time-stamps. I would have thought that, since we were paying them, they should probably be able to tell us!
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.
I suggest doubling the time to implement from the initial quote you get from the Sales team. That's always been the case for me for multiple EPMs now. The out-of-the-box functionality of Oracle Planning and Budgeting Cloud is pretty robust so I appreciate that and it really helped us get the ball rolling quickly.
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
Oracle Planning and Budgeting Cloud fared very well against Adaptive, Anaplan, and Host Analytics. We ultimately decided on Oracle due to its reputation and strength of existing customers. We are happy with our decision.
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
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.
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.