

Microsoft Power BI and SAP Analytics Cloud compete in the business intelligence and analytics sector. Power BI seems to have the upper hand due to its affordability and ease of use, which makes it attractive for cost-conscious users.
Features: Microsoft Power BI is notable for its integration capabilities with third-party components, ease of access via a browser, and low licensing costs. It offers users a friendly experience, supports various data sources, and allows flexible report customization. SAP Analytics Cloud is recognized for its predictive capabilities, integration with SAP products, and comprehensive features including planning and AI.
Room for Improvement: Power BI faces limitations with real-time data processing and complex data manipulation. Users seek more visualization options, integrated AI, and a simplified interface. SAP Analytics Cloud could improve its integration with non-SAP systems, enhance user-friendliness, and have a more competitive pricing structure. Also, its predictive analytics and planning features need refining for seamless use across environments.
Ease of Deployment and Customer Service: Power BI is adaptable to various environments, including on-premises and cloud solutions. While community-driven support offers resources, direct technical support can be inadequate. SAP Analytics Cloud primarily operates in cloud-based environments with structured, comprehensive support, although users desire more intuitive onboarding and integration processes.
Pricing and ROI: Microsoft Power BI is praised for competitive, scalable pricing options. Its straightforward licensing offers rapid ROI through cost-effective features. SAP Analytics Cloud, though more expensive due to its advanced functionalities, offers significant ROI for enterprises integrated with SAP ecosystems. Each pricing model mirrors its feature set and target market, with Power BI appealing to budget-sensitive users and SAP catering to those needing integrated business processes.
In a world surrounded by data, tools that allow navigation of large data volumes ensure decisions are data-driven.
Power BI is easy to deploy within an hour, providing robust security against data leaks.
The significant drawback I notice is that Microsoft's size makes it hard to get specific change requests addressed unless they involve a bug.
We have a partnership with Microsoft, involving multiple weekly calls with dedicated personnel to ensure our satisfaction.
The support is good because there is also a community available.
The technical support is a very well-organized service, with a lot of tools for me as a consultant and for the end user on how to contact SAP support and get issues solved.
We are satisfied with the technical support from SAP because when we reached out, we were able to get very good support from SAP colleagues.
I am satisfied with SAP's technical support team; they provide very good support.
You expect only a small percentage of users concurrently, but beyond a thousand concurrent users, it becomes difficult to manage.
With increasing AI capabilities, architectural developments within Microsoft, and tools like Fabric, I expect Power BI to scale accordingly.
As more data is processed, performance issues may arise.
SAP Analytics Cloud can be used by a small company, and it can be used by a large corporate.
I would rate its scalability up to nine on a scale of one to ten.
In terms of stability, there's no data loss or leakage, and precautions are well-managed by Microsoft.
We typically do not have problems with end-user tools like Excel and Power BI.
It is very stable for small data, but with big data, there are performance challenges.
You have a chance to test it on your test tenant in small increments, so it should not break your productive reports and productive environment.
This makes Power BI difficult to manage as loading times can reach one or two minutes, which is problematic today.
Access was more logical in how it distinguished between data and its formatting.
Microsoft updates Power BI monthly based on user community feedback.
On the other hand, it is perfectly fitting to the SAP environment, with seamless integration to all SAP modules, not only ERP but also SuccessFactors and other tools from the SAP family.
Documentation-wise, we see some gaps when trying to connect different solutions.
I found the setup cost to be expensive
Power BI isn't very cheap, however, it is economical compared to other solutions available.
The pricing for Microsoft Power BI is low, which is a good selling point.
In today's data-driven environment, these tools are of substantial value, particularly for large enterprises with numerous processes that require extensive data analysis.
Within the organization, Microsoft Power BI is used to create dashboards and gain insights into data, enhancing data-driven decision-making.
To reduce the need for highly skilled personnel, we can engage someone who is just familiar and has a basic understanding of Microsoft Power BI, while AI can handle the major tasks through either agent AI or requirement analysis.
For SuccessFactors and S/4HANA Cloud, there are pre-built reports available which are commonly used by customers.
The capabilities of SAP Analytics Cloud that I consider the most valuable are that all three functionalities are in one tool.
| Product | Market Share (%) |
|---|---|
| Microsoft Power BI | 8.9% |
| SAP Analytics Cloud | 2.2% |
| Other | 88.9% |
| Company Size | Count |
|---|---|
| Small Business | 135 |
| Midsize Enterprise | 57 |
| Large Enterprise | 165 |
| Company Size | Count |
|---|---|
| Small Business | 24 |
| Midsize Enterprise | 13 |
| Large Enterprise | 39 |
Microsoft Power BI is a powerful tool for data analysis and visualization. This tool stands out for its ability to merge and analyze data from various sources. Widely adopted across different industries and departments, Power BI is instrumental in creating visually appealing dashboards and generating insightful business intelligence reports. Its intuitive interface, robust visualization capabilities, and seamless integration with other Microsoft applications empower users to easily create interactive reports and gain valuable insights.
SAP Analytics Cloud is an all-in-one Software-as-a-Service business intelligence tool that provides the key functionalities of an analytics tool to SAP business users. This tool is built on HANA Business Intelligence (BI) platform, providing analytics from data collected from multiple sources, such as ERP, Microsoft SQL, and Salesforce, among other solutions.
You can use SAP Analytics Cloud to compile data and perform ad-hoc reporting and analysis for predictive planning. SAP Analytics Cloud collects and analyzes the raw data from transactional systems into intelligent insights that allow you to make better decisions.
SAP Analytics Cloud uses machine learning to clean up data, identify errors, and issues, and suggest optimization or filtering options. You can use the modeling feature in Analytics Cloud to create hierarchies and get deeper data insights.
The three core functions of SAP Analytics Cloud consist of Planning, Predictive Analysis, and Business Intelligence as a holistic SaaS solution that offers real-time analysis to business leaders.
SAP Analytics Cloud Capabilities
SAP Analytics Cloud Key Features
SAP Analytics Cloud Benefits
Reviews from Real Users
Segun O., SAP HANA Developer at SOA PEOPLE, says that "The most valuable features are on the application side, where you can design applications into your analytics on the platform."
The Head of Finance Enterprise Application at a computer software company adds that "The visualization feature is the most valuable. SAP Analytics Cloud is also very easy to use."
"Its many features make it the best in the market," sums up a Consultor SAP Business Object, Sap Analytics Cloud at a tech services company.
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