We performed a comparison between SAP Analytics Cloud and SAS Visual Analytics based on real PeerSpot user reviews.
Find out in this report how the two BI (Business Intelligence) Tools solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The Smart Predict, Smart Insights, and Smart Discovery predictive analysis features are quite good."
"Technical support is helpful."
"The ease of use of the solution is its most valuable feature. We haven't tried all of the features yet. The graphing and the ease of using the analytics tools have been great. It's all drag and drop; you don't need to code anything."
"There is a seamless integration with SAP S4HANA which is really valuable to our organization and its functions. Since the data is stored in the same ecosystem, it creates a simple process of building dashboards, without making the process cumbersome The Analytics Cloud provides standardized templates and storage options, making it easy to plug into existing structures. We're utilizing custom stories that have already been developed, streamlining the development process. It serves as a convenient starting point and contributes to the overall ease of development. Another advantage is that it doesn't provide the same level of calculation power as Power BI and Tableau. SAP Analytics Cloud emphasizes pushing analytics back into the database, recommending data manipulation and preparation outside of the platform. This approach is seen as an advantage, as it allows for more robust data handling."
"The most valuable feature of SAP Analytics Cloud is its integration with SAP."
"We mainly use Analytics Cloud because it integrates with other SAP solutions. Our ERP is an SAP product, and our back-end is SAP Business Warehouse, so integration is an essential factor."
"I have found that the feature to drag and drop widgets based on the data source, and import them into stories to be valuable. This way it helps the end user to create stories themselves."
"It offers good backup capabilities."
"Data handling is one of the best features of SAS Visual Analytics."
"I believe that the possibilities for exploring data and formulating visual results are quite good because it allows the business analyst to have different perspectives on the data."
"The flexibility of the configuration is valuable to me."
"What I really love about the software is that I have never struggled in implementing it for complex business requirements. It is good for highly sophisticated and specialized statistics in the areas that some people tend to call artificial intelligence. It is used for everything that involves visual presentation and analysis of highly sophisticated statistics for forecasting and other purposes."
"It integrates well with SAS, making it simple and quick for developers."
"I use Visual Analytics for enterprise reporting."
"Visual Analytics is very easy to use. I use Visual Analytics for all the typical use cases except text mining. I used it to analyze data and monitor statistics, not text mining. I also use it for data visualization as well as creating interactive dashboards and infographics."
"It provided the capability to visualize a bunch of data in an organized way."
"Figuring out how to navigate all of the products around Data Warehouse Cloud and SAP Analytics Cloud and BW for HANA is quite difficult."
"The general management of this solution could be improved. The graphics or icons could also be improved to allow them to integrate with other environments on the web."
"What should be improved in SAP Analytics Cloud is the speed of importing information and data, e.g. from SAP S/4HANA. Gathering the data from the main database takes a bit of time."
"SAP Analytics cloud needs better exporting options."
"It should have the flexibility for scoping the story and models. When you use it in a three-layer architecture, you struggle with the fact that you usually have just one SAP Analytics Cloud tenant, and you have to switch the connections, which might be an issue for bigger developments. For the development role, there should be an option to switch between development and production scenarios."
"I am not happy with the predictive analytics features and smart features offered by the product, making them areas where improvements are required."
"SAP could add some more visualization features to Analytics Cloud, like charts and analytics. I would also like to see some more data cleaning and ad hoc functions added to this solution."
"Could be more user-friendly; somewhat complicated to use."
"SAS Visual Analytics could be more user-friendly."
"Colours used on report objects"
"There is a need for coding when it comes to digital reporting which can be intimidating."
"The solution is a little weak at the front end."
"The product is expensive and needs the integration of more languages."
"The licensing ends up being more expensive than other options."
"There are a few little things that are predefined and can be done out of the box immediately. There is no business intelligence application that is predefined, which is something some customers or prospects would love to have. Small and mid-sized companies would struggle with it because they prefer something standard that has been predefined by somebody else."
"There is room for improvement in anti-money laundering prevention and operation monitoring, as well as operation monitoring surveillance."
SAP Analytics Cloud is ranked 5th in BI (Business Intelligence) Tools with 60 reviews while SAS Visual Analytics is ranked 8th in Data Visualization with 35 reviews. SAP Analytics Cloud is rated 8.0, while SAS Visual Analytics is rated 8.0. The top reviewer of SAP Analytics Cloud writes "Good for reporting but needs to improve its predictive analytics features". On the other hand, the top reviewer of SAS Visual Analytics writes "Single environment for multiple phases saves us time, and has good visualizations". SAP Analytics Cloud is most compared with SAP BusinessObjects Business Intelligence Platform, Tableau, IBM Planning Analytics, Microsoft Power BI and Anaplan, whereas SAS Visual Analytics is most compared with Tableau, Microsoft Power BI, Databricks, Microsoft Azure Machine Learning Studio and Dataiku. See our SAP Analytics Cloud vs. SAS Visual Analytics report.
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