SAP Analytics Cloud Review
Dee M
SAP Analytics Cloud indepth review
SAP Analytics Cloud (SAC) is a cloud-based analytics platform that offers a range of capabilities for data visualization, reporting, planning, and predictive analytics. It is designed to be user-friendly and easy to use, with a drag-and-drop interface and intuitive navigation.
One of the key features of SAC is its integration with other SAP systems, such as SAP S/4HANA, SAP Ariba, and SAP SuccessFactors. This allows users to easily access and analyze data from multiple SAP sources within a single platform.
In terms of data visualization, SAC offers a range of chart types and the ability to customize and format charts to meet specific needs. It also includes pre-built templates for common use cases, such as sales performance and financial planning.
SAC also offers planning and budgeting capabilities, including the ability to create and manage budgets, forecast future performance, and simulate scenarios. This can be useful for businesses looking to make informed decisions about resources and investments.
In terms of predictive analytics, SAC includes machine learning algorithms that can analyze historical data and make predictions about future outcomes. It also offers the ability to build custom models using SAP Predictive Analytics software.
Overall, SAC is a comprehensive analytics platform that offers a range of capabilities for data visualization, reporting, planning, and predictive analytics. It is particularly well-suited for businesses that use SAP systems and are looking to gain insight into their data in a single, integrated platform.
Dee M
SAP Analytics Cloud customer review
SAP Analytics Cloud (SAC) has generally received positive reviews from customers. Many users appreciate its integration with other SAP systems and its ability to access and analyze data from multiple sources within a single platform.
Customers also praise the platform's user-friendly interface and easy-to-use drag-and-drop functionality. Its pre-built templates and customizable charts are also frequently mentioned as useful features.
Some customers have noted that the platform can be slow to load at times, particularly when working with large datasets. There have also been some complaints about the cost of the software, as it is a subscription-based service that can be expensive for large organizations.
Overall, SAC appears to be well-regarded by its users, with many praising its capabilities and ease of use. It is important to keep in mind, however, that every organization has different needs and priorities, and it may not be the best fit for all businesses. It is always a good idea to thoroughly evaluate any software before making a purchase to ensure it meets your specific needs and requirements.
Dee M
Sample customer review for SAP Analytics Cloud
Here is a sample customer review for SAP Analytics Cloud:
"We've been using SAP Analytics Cloud for about a year now, and it's been a great tool for our organization. One of the things we appreciate most is the integration with our other SAP systems, which makes it easy for us to access and analyze data from multiple sources in a single platform. The interface is also very user-friendly, and the drag-and-drop functionality makes it easy for non-technical users to create reports and charts. We've also found the planning and budgeting capabilities to be very useful, as it allows us to forecast future performance and make informed decisions about resources and investments. Overall, we've been very happy with SAP Analytics Cloud and would recommend it to other organizations."
Dee M
examples of things that SAP Analytics Cloud does particularly well
SAP Analytics Cloud (SAC) does a number of things particularly well:
Integration with other SAP systems: SAC is designed to seamlessly integrate with other SAP systems, such as SAP S/4HANA, SAP Ariba, and SAP SuccessFactors. This makes it easy for users to access and analyze data from multiple SAP sources within a single platform.
User-friendly interface: Many users appreciate the intuitive, user-friendly interface of SAC, which makes it easy to navigate and use even for those who are new to the platform.
Data visualization: SAC offers a range of chart types and the ability to customize and format charts to meet specific needs. It also includes pre-built templates for common use cases, such as sales performance and financial planning.
Planning and budgeting: SAC includes planning and budgeting capabilities, including the ability to create and manage budgets, forecast future performance, and simulate scenarios. This can be useful for businesses looking to make informed decisions about resources and investments.
Predictive analytics: SAC includes machine learning algorithms that can analyze historical data and make predictions about future outcomes. It also offers the ability to build custom models using SAP Predictive Analytics software.
Dee M
some detailed examples of areas where SAP Analytics Cloud has room for improvement.
There are a few areas where SAP Analytics Cloud (SAC) could potentially have room for improvement:
Performance: Some users have reported that the platform can be slow to load, particularly when working with large datasets. Improving performance, especially when working with large amounts of data, could be an area of focus for the development team.
Cost: SAC is a subscription-based service that can be expensive for large organizations. While the platform does offer a range of capabilities, the cost may be a barrier for some businesses.
Customization: While SAC does offer a range of customization options, some users have reported that it can be difficult to fully customize certain aspects of the platform to meet their specific needs. Improving customization options could be an area for improvement.
Integration with non-SAP systems: While SAC integrates well with other SAP systems, some users have reported challenges when trying to integrate it with non-SAP systems. Expanding integration capabilities to include a wider range of systems could be an area for improvement.
It's important to note that these are just a few potential areas for improvement and may not be applicable to all users. Every organization has different needs and priorities, and SAC may be a good fit for some businesses but not for others.
Dee M
Please describe some specific scenarios based on your experience where SAP Analytics Cloud is well suited, and/or scenarios where it is less appropriate.
SAP Analytics Cloud (SAC) is generally well-suited for businesses that use SAP systems and are looking to gain insight into their data in a single, integrated platform. It is particularly useful for organizations that need to access and analyze data from multiple SAP sources and want an easy-to-use platform for doing so.
SAC is also a good fit for businesses that need to create and manage budgets, forecast future performance, and simulate scenarios. Its planning and budgeting capabilities can be useful for making informed decisions about resources and investments.
In terms of scenarios where SAC may be less appropriate, it may not be the best fit for businesses that do not use SAP systems and do not have a need to integrate with them. In addition, the subscription-based pricing model may not be suitable for all organizations, particularly smaller businesses with limited budgets.
