IBM Planning Analytics, powered by IBM TM1®, is an integrated planning solution designed to promote collaboration across the organization and help keep pace with the speed of modern business. With its calculation engine, this enterprise performance management solution is designed to help users move beyond the limits of spreadsheets, automating the planning process to drive faster, more accurate results. Use it to unify data sources into one single repository, enabling users to build…
$825
per month 5 users
Microsoft Power BI
Score 8.5 out of 10
N/A
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 8.2 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.
$36
per month per user
Pricing
IBM Planning Analytics
Microsoft Power BI
SAP Analytics Cloud
Editions & Modules
Essentials
$825
per month 5 users
Standard
$1,650
per month 10 users
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
Offerings
Pricing Offerings
IBM Planning Analytics
Microsoft Power BI
SAP Analytics Cloud
Free Trial
Yes
Yes
Yes
Free/Freemium Version
Yes
Yes
No
Premium Consulting/Integration Services
Yes
No
No
Entry-level Setup Fee
Optional
No setup fee
No setup fee
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.
SAP Business Objects for dashboards development Microsoft Power BI Both above have possibility to connect to the MS SQL and present SQL data collection
I am personally trying to explore the features of SAP Analytics Cloud in order to find if it's possible to integrate other sources of data and api based integrations, but I'm still on it while using the IBM planning analytics for my project currently. But looking at the intial …
Prior to making the decision to go with IBM Planning Analytics, we had considered such options as Anaplan, Oracle Hyperion, and SAP Analytics Cloud. Despite the collaborative solutions offered by Anaplan and the good connection with other systems by SAP, the superb set of tool …
Other options, namely Anaplan, Oracle ePm Cloud, and SAP Analytics Cloud, were also considered. Anaplan's interface lacked analytical depth. For product design metrics, flexibility was not as good in Oracle ePm Cloud. The final choice was moved by the fact that it was driven …
In this case, Vena and Planful are considered as other products that can be compared with IBM Planning Analytics, but among them, IBM Planning Analytics is more optimal in terms of user interface and integration. Its preconfigure risk assessment model and its format and …
Why IBM Planning Analytics when compared to Oracle Hyperion: Better excel integration Less data movement and duplication Better cloud offering More aforeable licensing
I worked with Hyperion a long time ago. It was not a Oracle product yet. One great feature of this solution that was really great at the time, was the modeling process of ir, with a very robust engine for sparse cubes. the performance was excellent at the time. But today I can …
Anaplan does not handle sparsity; this is very problematic for large volume data sets (many 0's). There also are limitations to the number of dimensions that can be used in a module. If more dimensions are required, then separate modules need to be built and intertwined. IBM PA …
Because of its ability in planning, budgeting and forecasting or work progress.it has made it easy in driving sales hence profitability and lowering costs,also with ability to forecast the decision making has never been made this easier. The reasons for selecting are on its …
IBM allows to build flexible models from the scratch. IBM Planning Analytics with Watson does not include non-planning features in one package, so you don't pay for something you may not need.
IBM Planning Analytics was by far the most robust tool we evaluated among several top competitors. It stood out for its place in the industry to provide detailed, integrated, and aggregate integration for data governance. I was impressed with the approach from the sales team to …
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 …
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 …
Very powerful modeling capabilities. It has a really good OLAP engine memory. Strong scenario planning for what if analysis. Flexibility of integration with ERPs or WM systems for both cloud and on premises. Centralized planning and alignment of governance is also a plus. Having one single system for many different functions.
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.
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.
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.
Since IBM Cognos Express is suitable only for medium data warehouse environment, we are not sure if this tool solves the long term need as the business keeps growing rapidly. So its a 50/50 ratio to renew Express license. But having said that, the components of IBM Cognos Express are also available in other Cognos BI suites like Cognos 10.x version. So we will probably upgrade our environment to IBM Cognos 10.x which comes with more new features.
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.
IBM Planning Analytics is generally good in terms of functionalities. It can be used reduce time for budget planning, resource planning, demand forecasting, etc. The performance of IBM Planning Analytics is acceptable, but user interface can be improved. It would be good to see new features that allow users to customise the dashboard.
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.
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
IBM support has been very quick to respond and handle the very few issues we've had. We've had a third-party who partners with IBM to be our consulting team which has helped greatly reduce the need for us to contact IBM directly. I highly recommend researching and selecting a well-respected partner to help with an implementation as well as ongoing support as needed.
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.
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
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
As it is related to MS Excel, IBM Planning Analytics is a much more robust and complete solution for the CFO or COO in mind. Oracle Hyperion stacks up nicely against IBM Planning Analytics. However, IBM's investment in AI allows Planning Analytics users more options and speed.
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
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.
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.