We performed a comparison between Microsoft Power BI 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."It is good for us for onboarding the data. We can connect to multiple data sources, do transformations to make the data usable, and then model it within the transformation. Someone who has come from a Microsoft Excel environment will easily be able to use this solution. Power query and report modeling are easy to understand in this solution. Their technical support is very good. They are extremely responsive, helpful, and hands-on."
"The Microsoft Power BI app is very good. It's also very flexible."
"The data can be accessed from anywhere."
"The feature I find most valuable is the ability to publish Power Bi reports, using an embedded link, directly onto a website."
"The fact that you can visualize items is great."
"Power BI, once made available, can connect to various data sources, irrespective of the application, whether it be HR or business applications. The bank has many applications, but all eventually need to generate reports for tracking, distribution, or problem-finding based on analysis. Power BI was made available as part of the productivity suite to all businesses, which can connect to their applications and provide the reports and analysis they require."
"We like the drag and drop interactability visualization. We really like that. It's user-friendly."
"The best feature of this solution is the way you can plan, communicate, and visualize all the knowledge you extract from the data for the customers. I like the way you can show or visualize the information a client needs to answer a business question."
"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."
"The most solution's notable aspect, in my view, is the ability to integrate various data sources and harness advanced technologies such as machine learning and artificial intelligence. This helps with quality assurance processes."
"It integrates well with SAS, making it simple and quick for developers."
"Data handling is one of the best features of SAS Visual Analytics."
"Simplifies report designs and quickly displays tables and graphs."
"We've found the product to be stable and reliable."
"The product is stable, reliable, and scalable."
"I use Visual Analytics for enterprise reporting."
"My main complaint is that the error messages need to be made more clear. Currently, they are either too generic or outright misleading, and finding the real problem is like searching for a needle in a haystack."
"The graphic interface could be better."
"The default parameters of the prompt could be improved by including a dynamic option."
"The dashboard could be simplified."
"I cannot comment on the stability as we haven't yet used it for a big project."
"I would like to see more AI capabilities in future releases. There's a strong interest in AI, including technologies like GPT, which facilitate real-time interactions."
"Actionable insights could be better."
"Adding paginated reports to this tool could be of great help for users who want to move away from SSRS."
"The reason we haven't rolled it out across the board is due to the fact that the licensing is so expensive."
"The charts and tables could use better sorting, primarily using other variables than the ones on the figure. If they could implement views like in the older version (previous to Viya), it would be very nice."
"The installation process can be a bit complex."
"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."
"A bit more flexibility in the temperatization will be helpful."
"There is room for improvement in anti-money laundering prevention and operation monitoring, as well as operation monitoring surveillance."
"I haven't come across any missing features."
"There are scalability issues. It depends on the data volume and number of end-users. VA requires a lot of hardware resources to move volumes of data."
Microsoft Power BI is ranked 1st in BI (Business Intelligence) Tools with 297 reviews while SAS Visual Analytics is ranked 8th in Data Visualization with 35 reviews. Microsoft Power BI is rated 8.0, while SAS Visual Analytics is rated 8.0. The top reviewer of Microsoft Power BI writes "A complete ecosystem with an builtin ETL tool, good integrations with python and R, and support of DAX and Power Query (M languages)". On the other hand, the top reviewer of SAS Visual Analytics writes "Single environment for multiple phases saves us time, and has good visualizations". Microsoft Power BI is most compared with Tableau, Amazon QuickSight, KNIME, Domo and IBM Cognos, whereas SAS Visual Analytics is most compared with Tableau, Databricks, Microsoft Azure Machine Learning Studio, Dataiku and SAS Enterprise Miner. See our Microsoft Power BI vs. SAS Visual Analytics report.
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