SAP Analytics Cloud vs. Workday Adaptive Planning

>> 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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It's well suited to any business where you have defined inputs, a layer of structured calculations and a defined output. In other words, any business situation! We use it in a law firm setting where it enables us to import staff plans, assign targets to each individual, thereby generating a revenue forecast linked to business capacity. From there, global assumptions determine staff and direct costs, with the user overlaying discretionary costs to arrive at a final P&L forecast. This is then summarised using the reporting and dashboarding layer to provide outputs to senior leaders for sign off.

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• 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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• 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

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• 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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• Budgeting either isn't included or an extra fee.
• Expense reporting aspects are repetitive and hard to fully optimize.
• Finance tracking is limited to basic reports with multiple levels or drill-down...hard to fully grasp without exporting data and massaging in something else (like Excel).

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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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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.

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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It is an easy transition for Excel users, with more built-in analytical tools and no need to build formulas. It also has built-in reporting and integration with Microsoft Office products such as Excel and PowerPoint. For non-Finance users, there's an initial learning curve to get used to the tool.

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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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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

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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.

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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.

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Good videos and reference material available in SAP Portal.

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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.

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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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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.

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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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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.

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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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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.

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unit pricing

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Good read only seat access

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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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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

very simple

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This is now available in house at Workday which is convenient.

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• 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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• 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.

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