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."The uploading of information is very easy, as you just use an Excel sheet to start work right away and obtain the benefits of Power BI."
"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 initial setup is easy."
"The interface is very easy to use."
"I like how the Query Editor lets me manipulate the data, and the available visuals are good. You can do everything using the UI."
"PowerBi is used to import our production data and generate dashboards, then integrates other Excel sheets to provide managers dashboards. This helps them get insights to make better OEE improvement decisions, mainly where to focus resources. We became able to see indicators from any time frame (day, week, month, or year), then could make better decisions."
"The solution is not that difficult to install, although this will vary with the experience of the person responsible for its installation."
"It's user-friendly and provides data abstracting capabilities. We are also able to share reports with our colleagues very easily."
"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."
"We've found the product to be stable and reliable."
"It's relatively simple to create basic dashboards and reports."
"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 alert generation feature also helps in sending out ad hoc messages to the business users if business thresholds have been crossed."
"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."
"Great for handling complex data models."
"The product is stable, reliable, and scalable."
"The initial setup is a little bit technical."
"The product could have better analytics capabilities."
"From any improvement perspective, I want the product to be made available to users free of cost...The stability and scalability of the product can be better."
"The solution could benefit by allowing deeper data analytics."
"The solution is somewhat costly in comparison with MSBI tools."
"We did have some issues building the Microsoft blog."
"I cannot comment on the stability as we haven't yet used it for a big project."
"It should be more user-friendly. There are very small or tiny icons that you need to move very carefully. If you go a little bit up and down, some of the values change. Its user interface should be improved. It should be like Tableau. Its performance is also slow and should be improved. I definitely feel some sort of speed issues with Power BI. The integration of Excel with Power BI would also be good."
"The product is expensive and needs the integration of more languages."
"The licensing ends up being more expensive than other options."
"SAS Visual Analytics could be more user-friendly."
"The solution should improve its graphics."
"Better connectivity with other data origins, better visualization, and the ability to create KPIs directly would all help."
"There is room for improvement in anti-money laundering prevention and operation monitoring, as well as operation monitoring surveillance."
"The deployment isn't smooth. Deploying Visual Analytics on the cloud takes a lot of work, or you can use some providers that give you SAS as a service. For example, there is a provider called SaasNow. They host SAS Visual Analytics and the license. You can buy the license and deploy it there without the hassle of installation because deploying the software isn't easy."
"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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