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SAS Visual Analytics OverviewUNIXBusinessApplication

SAS Visual Analytics is #6 ranked solution in top Data Visualization tools and #9 ranked solution in top Business Intelligence Tools. PeerSpot users give SAS Visual Analytics an average rating of 8 out of 10. SAS Visual Analytics is most commonly compared to Tableau: SAS Visual Analytics vs Tableau. The top industry researching this solution are professionals from a computer software company, accounting for 25% of all views.
What is SAS Visual Analytics?

SAS Business Intelligence package offers business owners an all-in-one tool for data analysis. It is mainly comprised of analytics software that can handle all of the statistical analysis that a company requires. Functions include mining and managing to fetching important information from a variety of sources and even adapting that information, all for the purpose of analyzing the data for future use.

The SAS Business Intelligence software allows users to handle, understand, and analyze their data in both past and present fields, as well as influence vital factors for future changes. Users can also create and publish reports based on their findings so that others in their field can share the information and input suggestions. The graphic presentation is another benefit that many businesses find useful when presenting their findings to others.

SAS Visual Analytics was previously known as SAS BI.

Buyer's Guide

Download the Business Intelligence (BI) Tools Buyer's Guide including reviews and more. Updated: January 2022

SAS Visual Analytics Customers

Staples, Ausgrid, Scotiabank, the Australian Institute of Health and Welfare, the Blue Cross and Blue Shield of North Carolina, Oklahoma Gas & Electric, Xcel Energy, and Triad Analytics Solutions.

SAS Visual Analytics Video

SAS Visual Analytics Pricing Advice

What users are saying about SAS Visual Analytics pricing:
  • "Visual Analytics is expensive for a small company like mine. You also need to deploy it on a server or cloud, so you pay for the license as well as the cost of the cloud or the server that you will deploy on."
  • "$10,000 per annum for an enterprise license."
  • "The cost of the solution can be expensive. There is an additional cost for users."
  • SAS Visual Analytics Reviews

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    Senior Manager at a consultancy with 201-500 employees
    Real User
    Top 5Leaderboard
    Easy to learn and use with good scalability potential
    Pros and Cons
    • "It's quite easy to learn and to progress with SAS from an end-user perspective."
    • "The installation process can be a bit complex."

    What is our primary use case?

    We usually use SAS more from an ETL perspective.

    We implement projects with these technologies, however, at the end of the day, the client is purchasing those technologies. We do not purchase these technologies, we just use them in projects.

    We are all always end-users. Although we are not using it, we are implementing it for the end-users. We are using the tools.

    Essentially we use the product a lot for ETL, for extracting, transforming, and loading data from one data structure to the others. We also use it a lot for reporting purposes.

    What is most valuable?

    The solution is very stable.

    The scalability is good.

    The usability is quite good. It's quite easy to learn and to progress with SAS from an end-user perspective. 

    What needs improvement?

    Regarding performance, they have some issues. They have always had some issues there. They are better, however, still, there are some issues around performance.

    The installation process can be a bit complex. 

    For how long have I used the solution?

    I've been using the solution for more than ten years at this point. It's been over a decade. We've used it for a while. 

    What do I think about the stability of the solution?

    The solution is very stable. However, the performance is something that needs to be looked at.

    SAS is the kind of platform that if you are a power user and you know how to use, it's good and most probably you'll just bypass these performance issues. However, as SAS is used quite a lot by business users, at the end of the day, they don't do it as it should be done from a technical perspective, and then they just have some performance issues there. 

    I would say most probably the problem is more about the end-user who is using the platform, however, at the end of the day, there are bottlenecks.

    What do I think about the scalability of the solution?

    The scalability of the product is very good.

    In our organization, we have at least ten to 20 consultants that have some knowledge of SAS. We have more than ten customers that use SAS.

    How are customer service and support?

    The technical support is good enough. I don't think it's excellent, however, it is good enough. 

    Which solution did I use previously and why did I switch?

    SAS has a lot of clients here in Portugal. Oracle does as well. Those are two good platforms here.

    How was the initial setup?

    In terms of deployment, it is not quite a straightforward installation. It's still a little bit complex to install SAS.

    That said, from a support perspective, at least, we don't have complaints. They are there and they support us throughout the process if we need assistance.  

    I'm not so technical that I could comment in detail about the deployment itself. It depends on the solution that you are using from SAS. If you are just installing, for instance, the SAS Enterprise Guide or Data Integration Studio, it does not take more than one week and you are good to go. If you are installing other packages, more complex packages like Data Management and so on, it could be longer. SAS is quite a big landscape. It's difficult to comment on SAS as they are quite a generic provider. They have everything from data to campaign management. We used them a lot in the past. It's quite a big portfolio that you can install from this platform. Therefore, to properly calculate deployment times you need to find out which package you are trying to use from SAS and if there are different challenges within those implementations based on your business.

    How big of a team you need for deployment also depends on the project, as we always look at it from, if we are a service provider once again, the size of the project. In a very big utility company, we need a lot of technical team members. If we are implementing SAS just for doing some ETL stuff in a small insurance company, we just need one guy, probably. It's difficult to calculate without parameters o base an estimate on.

    What's my experience with pricing, setup cost, and licensing?

    Customers do have to pay for a license, as well as for Enterprise Guide, Data Integrations Studio, and so on. I do not recall any project without paying for some sort of SAS solution unless you are just implementing a small POC. That can happen. Once the POC is over and the company goes into the production environment, they need to pay. 

    What other advice do I have?

    Usually, we use the on-premises deployment, however, it can also be deployed in the cloud as far as I know.

    I would recommend the solution to others. It's a platform that I really enjoy. We, from a company perspective, always recommend SAS. It has quite an interesting portfolio.

    I'd rate the solution at an eight out of ten.

    Which deployment model are you using for this solution?

    On-premises
    Disclosure: I am a real user, and this review is based on my own experience and opinions.
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    AndreaD'Orio
    Chief Technical Officer at Value Partners
    Real User
    Top 20
    Reliable and offers an ecosystem of tools but can get expensive
    Pros and Cons
    • "We've found the product to be stable and reliable."
    • "The licensing ends up being more expensive than other options."

    What is our primary use case?

    We primarily use the solution data warehousing and business intelligence.

    What is most valuable?

    The best feature is that SAS is not a single BI tool. Rather, it is part of an ecosystem of tools, such as tools that help a user to develop artificial intelligence, algorithms, and so on. SAS is an ecosystem. It's an ecosystem of products.

    We've found the product to be stable and reliable.

    The scalability is good.

    What needs improvement?

    The web part could be better in terms of the interface. If we compare SAS with Power BI, Power BI is a long step far from SAS on the web tool, web interface. It's easier to develop a dashboard with Power BI for the web, than SAS for the web. It's some steps behind Power BI, from this point of view.

    The preliminary setup is complex. 

    The licensing ends up being more expensive than other options.

    From a technical point of view, they should improve the list of data stores supported. A lot of new data stores, new, innovative data stores, such as Hive, HBase, Druid, and so on, are not directly supported by SAS.

    For how long have I used the solution?

    We've used SAS in not more than three projects so far. It's difficult for us as we don't use it for low tier. We'll use it for a project, then, perhaps one year later, for another project, and so on. 

    It would be quite impossible for me to answer how long we use it as it's sporadic, according to projects. We respond to our customers with the tool that they use, not that we use. If they use SAS, we use SAS.

    What do I think about the stability of the solution?

    The stability is quite good. There are no bugs or glitches. It's reliable. It doesn't suddenly crash or freeze. 

    What do I think about the scalability of the solution?

    Scalability isn't an issue. If a company needs to expand it, it can do so.

    How are customer service and support?

    We've never used technical support. I can't speak to how helpful or responsive they are.

    Which solution did I use previously and why did I switch?

    We developed a lot of projects about business intelligence on Power BI for our customers. Power BI is easier to use on the web and it's easier to develop dashboards with it.

    Microsoft BI, from a licensing point of view, is easier. It's a per-user license. Power BI is the right tool for companies that want a small time to market, a shorter time to market approach to business intelligence.

    How was the initial setup?

    The initial setup could be improved. It's complex to use, it's not an easy-to-approach tool.

    What's my experience with pricing, setup cost, and licensing?

    The product is expensive. From our point of view, from a consultant's point of view, it's quite expensive due to the fact that, compared to other products, such as Power BI, it's a more complex license model and it's more expensive in the end.

    What other advice do I have?

    We are a consultant company and therefore we use many tools for our customers in order to achieve the final project result, however, we do not use this kind of software internally. We always have professional services on, for example, Microsoft Power BI and so on.

    While we have a partnership relationship with Microsoft, we don't have any relation with SAS.

    I'd rate the solution at a seven out of ten overall.

    Which deployment model are you using for this solution?

    On-premises
    Disclosure: I am a real user, and this review is based on my own experience and opinions.
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    Find out what your peers are saying about SAS, Tableau, Microsoft and others in Business Intelligence (BI) Tools. Updated: January 2022.
    564,143 professionals have used our research since 2012.
    Dr. Salah Alnajem
    Founder and CEO at Information Age Consulting
    Real User
    Top 5
    It's easy to create infographics and dashboards, but total cost of ownership is high compared to other solutions
    Pros and Cons
    • "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 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."

    What is our primary use case?

    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.

    What is most valuable?

    Visual Analytics is very easy to use. 

    What needs improvement?

    Visual Analytics doesn't allow machine learning and predictive analysis. You have to license another product from SAS for this. This was an issue because I had to pay extra to buy other products to get these capabilities. It can mainly be used for data analysis and visualization, but I can't do machine learning and creative analysis without buying an additional product.

    I would like it if SAS could provide Visual Analytics as a SaaS, so  I don't need to install it and I could use it as a service on their servers, like Salesforce or Tableau.

    For how long have I used the solution?

    We started using Visual Analytics about a year ago. 

    What do I think about the stability of the solution?

    Visual Analytics is stable if you deploy it correctly, but it's completely unstable if there is an error in deployment.

    How are customer service and support?

    SAS technical support is magnificent.

    How was the initial setup?

    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.

    I deployed Visual Analytics twice. The first time I used SaasNow. That was too expensive, so I deployed it myself on Amazon Web Services. I used some instructions about a container that I can use to deploy it on Amazon Web Services. SAS provided the container, making life easier for me when I deployed it on Amazon Web Services. That made it easier to implement instead of implementing myself from scratch.

    What was our ROI?

    I don't think the return on investment is high when I factor in the cost of additional components like text mining and machine learning. I can get similar benefits in other products like Tableau or Zoho Analytic. It's mainly used for data visualization and data analytics, so I can use Tableau in this case for a fraction of the price or Zoho Analytics. 

    What's my experience with pricing, setup cost, and licensing?

    Visual Analytics is expensive for a small company like mine. You also need to deploy it on a server or cloud, so you pay for the license as well as the cost of the cloud or the server that you will deploy on. 

    Moreover, it doesn't include all capabilities out of the box. You have to buy other plugins or components to use some features. For example, you have to buy SAS Visual Text Analytics if you want to use text mining, and you have to purchase another component if you want to use predictive mining with machine learning.

    What other advice do I have?

    I would rate SAS Visual Analytics seven out of 10. I have to be careful when I rate. If I'm rating purely based on features, I would give it a nine. However, if I'm factoring in cost and return on investment, I have to lower this to seven overall.

    Which deployment model are you using for this solution?

    Public Cloud

    If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

    Amazon Web Services (AWS)
    Disclosure: I am a real user, and this review is based on my own experience and opinions.
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    Director of Data Services at a educational organization with 201-500 employees
    Real User
    Top 20
    Very powerful, relatively simple to create basic dashboards and reports
    Pros and Cons
    • "It's relatively simple to create basic dashboards and reports."
    • "There is a need for coding when it comes to digital reporting which can be intimidating."

    What is our primary use case?

    We are a non-profit educational organization and the primary use case is for building dashboards and reports to display basic post-secondary data that we either collect for ourselves or that is publicly available. In-house data is in a database and the publicly available data is on spreadsheets with dashboards based on those spreadsheets. We are customers of SAS and I'm the director of data services. 

    What is most valuable?

    It's an easy to use solution, it's relatively simple to create basic dashboards and reports. It's also a very powerful solution, although I haven't accessed all the features. With regard to dashboards, it's pretty easy to pick up and use the basic functioning. We built a database and we wanted to be able to use the dashboards for that, and it worked very smoothly. This solution looks like other visual analytics software and from what I've seen, it looks and feels very similar to Power BI or Tableau. If you're transferring from one software application to another, it should be fairly easy.

    What needs improvement?

    The powerful nature of SAS can sometimes work to its detriment, because there is a need for coding when it comes to digital reporting and that's a little overwhelming or intimidating for some of my coworkers. They're features that not all solutions have. Our biggest frustration with the solution is not being able to easily embed things on our website. That's become more important for us and we're trying to work with SAS support to be able to do that. There's a lot of back and forth, but they're willing to help. Adoption of the software has been difficult because people automatically assume that it's going to be more difficult than it is. People want to be able to create dashboards very quickly and get them on the website as fast as possible so they'll do it with Tableau, and SAS doesn't work that way. SAS deals more with those wanting to create dashboards based on a database. 

    For how long have I used the solution?

    We've been using this solution in our organization for the past six years. 

    How are customer service and technical support?

    The technical support is good. 

    How was the initial setup?

    I wasn't around for the initial setup but we recently went through an upgrade. I expressed our need to do this quickly and efficiently, and that we had no time to waste because we were trying to get something out, and SAS assigned us a team to move things forward quickly. 

    What's my experience with pricing, setup cost, and licensing?

    We pay a little over $10,000 for an annual enterprise license. It gives us an unlimited number of users but we're questioning whether it's worth the cost if we can't get users on board. There is some tech support included in that, but it's minimal. If we require upgrading or we're having some specific troubleshooting issues like embedding the analytics, we get charged for it. 

    Which other solutions did I evaluate?

    We've done some cost comparisons and informally gathering information with regard to SAS Viya, Power BI and Tableau. They would all cost us around $100,000. With Tableau we would probably need the server, which means we would have to buy servers so it's quite a big price difference. 

    What other advice do I have?

    If it suits your needs, I would recommend taking a look at SAS, particularly if you're working with sensitive data. We've developed some dashboards and reports, but we haven't used SAS to its fullest potential.

    I rate this solution eight out of 10. 

    Disclosure: I am a real user, and this review is based on my own experience and opinions.
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    Chief Manager at a insurance company with 5,001-10,000 employees
    Real User
    Top 20
    Effective data handling, flexible, and overall operates well
    Pros and Cons
    • "Data handling is one of the best features of SAS Visual Analytics."
    • "The visualization should be better in SAS Visual Analytics. It is easy to use but when compared to other solutions it is lacking and the support is not very good."

    What is our primary use case?

    We are using an on-premise version of SAS Visual Analytics and we soon are moving to the cloud.

    I'm in the insurance sector, and there are lots of use cases for SAS Visual Analytics. The reporting tool can be used for multiple use cases. We are using it extensively.

    How has it helped my organization?

    If you are monitoring the sales in a daily manner, by using SAS Visual Analytics it would have improved. It's a reporting tool, and the tool will give you insights into where you are going wrong and where you are right. It gives you the information to where you can improve. It is very good for the reporting process.

    What is most valuable?

    Data handling is one of the best features of SAS Visual Analytics.

    You have the flexibility to design your data models and overall it is a good tool.

    What needs improvement?

    The visualization should be better in SAS Visual Analytics. It is easy to use but when compared to other solutions it is lacking and the support is not very good.

    The updates of the system take too much time and they charge a fee to upgrade.

    In terms of visualization, SAS Visual Analytics it's stronger than Tableau and Microsoft BI, but they should improve their objects, the custom graphs, and the support. They don't have any object create case support from the SAS Visual Analytics. If you work with Microsoft BI, they have different solutions, they have different teams for support on the object. If you want to see different objects, you can request them, they can create and they can send them to the library. It's a very good thing for the Microsoft BI, but not for the SAS Visual Analytics.

    For how long have I used the solution?

    I have used SAS Visual Analytics for approximately six years.

    What do I think about the stability of the solution?

    I have found the solution stable.

    What do I think about the scalability of the solution?

    SAS Visual Analytics is scalable for users. However, the cost is a little high to justify it.

    We have approximately 300 users using the solution. We have internal team members, sales members, and management using it.

    Which solution did I use previously and why did I switch?

    I have used Microsoft BI and Tableau.

    How was the initial setup?

    The implementation has many sections. The administrator section is very complex. The data management, it's very good, but the visualization is not good. The only complexity is the management. 

    The full process took approximately five days.

    What about the implementation team?

    We used a consultant that does the implementation of the solution. They were very good and had five years of experience.

    We have an internal team that manages this solution. I have a large team to design the reports. There are four to five people who are developing, two people for the requirement gathering, and two people for the deployment.

    What's my experience with pricing, setup cost, and licensing?

    The cost of the solution can be expensive. There is an additional cost for users.

    What other advice do I have?

    You will mainly focus on the data transformation layer in SAS Visual Analytics. You have to work a lot on the data transformation, during this activity you will learn a lot about the data itself. This was a very good thing for me that I learned with SAS Visual Analytics.

    I rate SAS Visual Analytics an eight out of ten.

    Which deployment model are you using for this solution?

    On-premises
    Disclosure: I am a real user, and this review is based on my own experience and opinions.
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