Microsoft Power BI is a visualization and data discovery tool from Microsoft. It allows users to convert data into visuals and graphics, visually explore and analyze data, collaborate on interactive dashboards and reports, and scale across their organization with built-in governance and security.
$168
per year per user
SAP Analytics Cloud
Score 8.1 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.
$36
per month per user
Workday Adaptive Planning
Score 7.7 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
Microsoft Power BI
SAP Analytics Cloud
Workday Adaptive Planning
Editions & Modules
Power BI Pro
$14
per month (billed annually) per user
Power BI Premium
$24
per month (billed annually) per user
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
Microsoft Power BI
SAP Analytics Cloud
Workday Adaptive Planning
Free Trial
Yes
Yes
Yes
Free/Freemium Version
Yes
No
No
Premium Consulting/Integration Services
No
No
Yes
Entry-level Setup Fee
No setup fee
No setup fee
Optional
Additional Details
Power BI Desktop is the data exploration and report authoring experience for Power BI, and is available as a free download.
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.
Power BI stacks up robustly on a visuals standpoint. It has great slicer tools and visuals that are stunning. Content is fresh, easy to transmit and the design of a new dashboard is easy. Power BI is useful in identifying outliers in your data (even data integrity issues). …
Microsoft BI tool does a better job than most of the other software. The reason is excellent visualizations and its capability to connect with various other software and data sources. Tableau does a better job when it comes to tutorials and being more user-friendly. Also …
Better yet, here is a blog explaining how this solution far surpasses iCharts:
https://www.tacticalconnect.com/single-post/2017/03/24/How-Tactical-Connect-far-surpasses-iCharts-for-NetSuite-in-every-possible-way
Like i mentioned earlier, SAP Analytics Cloud is the tool where SAP brought everything together at the right time starting with AI and planning capabilities. With evaluation of different tools for dashboard, this is where SAP made the right decision and this is the tool that is …
SAP Analytics Cloud blends data much better than Mircosoft Power BI because it uses one large dataset in its model instead of the entity-relationship model in Power BI. Everything in Power BI has to be done in the model, which diminishes its capabilities. SAC also has data …
Anaplan is a tool for planning, but with very less reporting options. Integration of Anaplan with SAP source is always a problem and has very less connection possibilities. Even though Anaplan provides very powerful planning features, we have to use multiple tools in the …
I would rate Tableau as number one choice due to intuitive, drag and drop and advanced visualizations. We can build highly customizable reports. Whereas SAP Analytics Cloud(SAC) got less customizable reports but excellent with SAP systems, strong in planning and budgeting tools.
Integration with SAP is the key feature to go for SAC with perks of SAP IQ etc offered from SAP. Usability is quite eased in SAC - makes it easy for users to use and develop their own dashboarding. Cloud is one more feature which enables to the cloud world from SAP and probable …
we have to explicitly publish our data in the form of odata service from SAP system, this require a good amount of work for API development and requirement of SAP Developer skill set. With SAP Analytics Cloud (SAC) this is not needed and the adoption of SAC becomes very easy
All three above examples are market leaders, being an sap consultant and as SAP Analytics Cloud is having tight integration with sap and offers fairly all the important features i use it.
Since we have S4/Hana cloud so accessing data from backend system is seamlessly done in SAP Analytics Cloud with the help of SAP Analytics Cloud cloud connector. We have BI/BW system. Data is loaded into this systems and fetch on SAP Analytics Cloud.
SAC lacks some of the prominent features found in other tools. But a fully functional tool. The way live connections work with SAC and better integration with SAP back-end products makes SAC a preferred choice.
SAC is an extension of our decision to use Datasphere as our Data Warehouse / Data Fabric Solution, which is really an extension of our decision to use SAP as our ERP.
Because the connectivity is natural and is easy to work and develop everything behind the same brand. Also is easy to have all the data under control on this software and easily consume in SAP Analytics Cloud Review. As I said, great advantage of using sap that means all are …
In my opinion, Spreadsheet Server is not even in the same game as Workday Adaptive Planning. While it is flexible in Excel, it still requires a lot of back and forth for analysis.
Our previous platform was patchwork tools and unintegrated. We were clunky and poorly organized. The system was slow and
difficult to use, and it was either overhaul it or start over. We evaluated our
options holistically and went with Workday. It works better and faster, and …
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 …
Has significantly improved collation of data and visualisation especially with business across Europe. Has given me the ability to see the Site availability at the click of a button to see which Site is in the "money" and seize opportunities based on Market data
>> 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.
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.
Options for data source connections are immense. Not just which sources, but your options for *how* the data is brought in.
Constant updates (this is both good and bad at times).
User friendliness. I can get the data connections set up and draft some quick visuals, then release to the target audience and let them expand on it how they want to.
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.
Microsoft Power BI is an excellent and scalable tool. It has a learning curve, but once you get past that, the sky is the limit and you can build from the most simple to the most complex dashboards. I have built everything from simple reports with only a few data points to complex reports with many pages and advanced filtering.
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.
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.
Automating reporting has reduced manual data processing by 50-70%, freeing up analysts for higher-value tasks. A finance team that previously spent 20+ hours per week on Excel-based reports now does it in minutes with Microsoft Power BI's automated Real-time dashboards have shortened decision cycles by 30-40%, enabling leadership to react quickly to sales trends, operational bottlenecks, and customer behavior.
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.
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.
It is a fantastic tool, you can do almost everything related with data and reports, it is a perfect substitutive of Power Point and Excel with a high evolution and flexibility, and also it is very friendly and easy to share. I think all companies should have Power BI (or other BI tool) in their software package and if they are in the MS Suite, for sure Power BI should be the one due to all the benefits of the MS ecosystem.
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.
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
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.
Microsoft Power BI is free. If I didn't want to create a custom platform (i.e. my organization insisted on an existing platform that I *had* to use), I'd use Microsoft Power BI. For any start-up or SMB, I'd just use Claude & Grok to build it quickly, also for free. Would not pay for Tableau or Sigma anymore. Not worth it at all.
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
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.
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.
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.