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.
$36
per month per user
Workday Adaptive Planning
Score 7.8 out of 10
Mid-Size Companies (51-1,000 employees)
Workday Adaptive Planning streamlines planning workflows, using AI and real-time data integration to improve collaboration and provide predictive forecasts for better strategic analysis.
N/A
Pricing
SAP Analytics Cloud
Workday Adaptive Planning
Editions & Modules
SAP Analytics Cloud for Business Intelligence
$36.00
per month per user
SAP Analytics Cloud for Planning
Price upon request
per month per user
No answers on this topic
Offerings
Pricing Offerings
SAP Analytics Cloud
Workday Adaptive Planning
Free Trial
Yes
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
Yes
Entry-level Setup Fee
No setup fee
Optional
Additional Details
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.
SAP Analytics Cloud enables non-technical users to do analysis intuitively with the drag-and-drop functions. We loved also the convenience of accessing SAP Analytics Cloud dashboards on the go via mobile, allowing us to ask and answer questions during meetings. With more …
It doesn't have the same standard fulfillment modeling as the true workforce planning products, it equals the other core HCM systems and beats them on ease of use.
Adaptive has a much better interface and usability compared to all these systems. It is also less complex, easy to configure and install, and easy to teach. Adaptive is more affordable, both short and long term.
Adaptive Suite gave us what we needed and fit our use case perfectly. We did short list Host Analytics and they were neck and neck with Adaptive and it was a win/win for us and we would have been successful with either tool. My familiarity with Adaptive, the simplicity of …
We evaluated Host along with Adaptive, and chose Adaptive. We felt Adaptive was a better solution for our needs, which was primarily forecasting, and we thought Adaptive better handled our significant dimensionality all while maintaining a more user friendly interface. Our …
Adaptive was more flexible, able to be maintained without heavy IT involvement, cost effective, had no additional hardware requirements, and since it is a cloud platform, updates are automatic.
Large Stack Vendors Compared with financial planning and reporting offerings from IBM Cognos TM1, SAP BPM and Oracle BPM Suite / Hyperion, the Adaptive Suite offers most of the capability but deploys in around 10-30% of the time and provides total cost of ownership savings of …
Verified User
Manager
Chose Workday Adaptive Planning
I've implemented Host Analytics at a previous company. We performed an extensive vendor selection process and Adaptive Insights came out on top. Adaptive Insights allowing us to use a demo helped prove the functionality of the software. Since we've started implementation there …
SAP Analytics Cloud is great for big companies that want advanced data analysis and planning, especially when they need to work together in real-time or when people need to access data on their phones. It's like a super tool for predicting future trends in industries like retail or finance. SAC also works well for companies that use different types of computer systems because it can easily connect them. But, for small businesses that only need basic reports or don't have a lot of technical resources, a simpler tool might be better. If a company doesn't always have a good internet connection or if they're just starting with analytics, there might be other tools that work better.
We're a mid-size organization working with a shoestring budget and an IT skeleton crew...not much room to dedicate resources to a platform like this fully. Having it SaaS based is helpful for system management through their Helpdesk system, and a single platform also helps streamline the knowledge needed by our developers when integrating other business aspects to Workday.
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.
It helps create dynamic plans for finances, operations and various functional units in an organization all under one platform
It helps in scenario modeling to help analyze various business events and report by any number of business dimensions including channel, customer or product
It can be integrated with any system including ERP, BI or CRM
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.
Dashboards are not the best for graphs/charts. However, I have heard of companies using the dashboards for forecasting/budgeting. I would like to see Workday Adaptive Planning demonstrate this part of the feature.
Better security or locks to prevent deleting Actuals data - you are literally one click away from doing this.
On the web-based reports, better functionality when needing to reverse the sign in calculations - right now it is only available for revenue vs. expenses.
The platform has played a major role in reporting and planning. Integration with SAP S/4HANA, user-friendly dashboards, and collaborative planning capabilities that have significantly improved decision-making process. The ease of integration with non-SAP systems has been advantage overall, SAC delivers strong ROI and scope of a bit improvement is required when data is huge.
For one we're in way too deep to not move forward with Adaptive. We're integrated with Workday, we do a ton of reporting with Adaptive, and it's working very well for planning and forecasting. No reason to look back or change course.
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.
It is overwhelming at first, but once you really get to know it, you realize it is fairly simple and customizable, and then it has a lot more limitations than you first thought. Realizing those limitations and finding workarounds is when you know you've mastered the software.
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.
There haven't been any lately. The only one issue I can think of is when there was an update in Adaptive that altered our reports. Before I realized there was an issue, Adaptive reached out to let me know, so that it could be fixed.
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
All aspects of Adaptive Insights perform well. One area that I wish was quicker was integration. When importing data from Intacct our accounting ERP platform, it can sometimes take 4 hours for the import to process. The earlier imports are done, the quicker they complete. My estimate for a quick upload is about two hours.
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.
Whenever we have had any questions, issues, or concerns, the support has been quick and thorough. [This] allow[s] us to be able to fully resolve any issues, or be connected with the right group quickly to attain the result we were after; be it from simple formatting to adding new detailed reporting.
This was extremely helpful so that they could walk you through the model and teach you more about the complexity of various areas. It is most helpful when it is specific to your organization's model. The larger in-person trainings were helpful but they tended to be more generic and entry level. The trainings that are more tailored to your specific needs are the most helpful.
They often times tended to be way too generic or entry level. They would also become sales pitches to upgrade or get new Adaptive Planning products. The questions in the training would be very niche and specific to other organizations. They were rarely helpful to the group at large.
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
Trust the expertise of very strong 3rd party implementers. Having deployed Adaptive at a separate company before, I thought I knew it all (hubris, I know). Fortunately, I began to (very quickly) trust the judgment of our Carlson implementation team, and they provided invaluable insights and best-in-class processes that have benefitted me and my team greatly.
SAP Analytics Cloud vs. Microsoft Power BI:Cost: Power BI is often perceived as a cost-effective solution, especially for organizations already using Microsoft products. SAP Analytics Cloud might be seen as a higher-cost option.Integration: SAP Analytics Cloud may have an edge in integration with SAP systems, while Power BI is known for its broad integration capabilities, including seamless integration with other Microsoft tools.Usability: Power BI is often praised for its user-friendly interface and quick adoption, while SAP Analytics Cloud may be seen as offering more advanced features.
Workday became our choice because it is fully web-based and easily integrates with other systems. The learning curve for Workday was shorter than that of Dynamics. The reporting tools in Workday are more user-friendly than that of Dynamics. However Workday did not have Check Printing tools which are available in Dynamics. The organization started a project to digitize all financial transactions so it was not a priority feature. When it comes to scaling up the functionalities of Workday it was much easier than Dynamics.
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.
We went from 2 users to 70+ users over a 2 year period of time. The application scaled wonderfully. 65 of those users were non-finance users so they were able to quickly learn the software and prepare budgets quickly and efficiently. That is the power of Adaptive and its ability to scale
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.
It's facilitated a better financial literacy and management by the non-financial managers in the company, giving them a much better ability to see what they're spending, control it, and plan better in the future.
It's hard to quantify the ease of model and version management, but we could never do what we're doing now with our current staff. It would take a small army to replicate anything close to what Adaptive pulls off using Excel, if it's even possible.
