SAS Visual Analytics Reviews

My main use case for SAS Visual Analytics is making visual reports such as graphs, gauge plots, outlier plots, geomaps, and presenting my clinical data into a report or an interactive dashboard which I share with my stakeholders.

Recently, I created a project-specific dashboard with SAS Visual Analytics that shows demographic details, adverse event details, concomitant medication details, and vital signs detail. I also created a graph that shows the missing data percentage and statistics about it, which helps me track my real data and allows my stakeholders to take action on it.

We are creating vital sign, demographic, adverse event, and laboratory parameter reports with SAS Visual Analytics so our clients can access real-time data and make decisions very quickly instead of waiting for manual reporting. The dashboards and interactive reports are useful because stakeholders and company employees can react quickly.

The best features of SAS Visual Analytics include performing data manipulation. I would characterize this as making data ready, transforming data, and making new variables through code while utilizing low-code and no-code facilities.

In my experience, low-code features in SAS Visual Analytics help when I need to create a new variable. For instance, I can extract a date through the data roll step, and with no-code features, I can perform report creation by simply using drag and drop functionality.

After implementing SAS Visual Analytics, we have generated a new way to generate revenue by providing live data visuals to our clients and making our team aware of data in real time, which has had a significant positive impact.

SAS Visual Analytics offers many options, and new users unfamiliar with SAS might face some difficulties. Training on SAS Visual Analytics is required to help overcome these issues.

I have been working in my current field for more than four years.

SAS Visual Analytics is very stable and good to use.

SAS Visual Analytics scalability is very good and positive. We have tried performing activities with a few employees, and it is highly scalable.

SAS Visual Analytics customer support is very good. They assist us when we encounter issues and provide help while we complete tasks, and they also train us in areas where we need guidance.

I have seen a return on investment with SAS Visual Analytics, as it includes AI capabilities and automatic functions with scheduling, allowing reports to be made from live data, which contributes to a new vertical for revenue generation.

My experience with pricing, setup costs, and licensing was positive, and I am happy with it.

If you are doing manual SAS reporting or manual data visualization through coding or other methods, you should switch to SAS Visual Analytics as it is far more advanced and very user-friendly. I would rate this review as a 9 out of 10.

Positive

When I was working in the corporate world, I didn't know why my company retired my position when I had hit my peak in terms of software. They wouldn't get the contract to continue working. I then had to resort to some means to use some products in my new position. What I did was I found the free software, which I then downloaded onto my PC and, you know, kind of registered. It all went very well. I still use SAS Visual Analytics and write some programs in SAS for the firm I work at present.

There are certain shortcomings in the tool's support services, making it an area where improvements are required.

I used the product for a very long time. I was very happy using it because I always achieved the objective and got the kind of analysis that was requested. I used it to budget for the entire country. The tool's big plus is that it runs on different platforms. In order for me to do the budgeting, I had to post this to every little branch in the country here, which I could do via local information on a PC. Once I get back the budget figures, I post them on the mainframe. The tool runs on all platforms, and it is one big advantage.

The tool integrates very easily with Microsoft Excel. Google has got its own version of the software. The tool should offer integration features with Google.

I have been using SAS Visual Analytics for more than ten to fifteen years.

It is a very stable solution. Stability-wise, I rate the solution a ten out of ten. For data analysis, it is a very stable product.

In the corporate world, it is critical that you can't have information. Your information has to be instantly available, and only through certain products can you have the information instantly available for further analysis. Someone will come up and want a report, and so, as an SAS programmer, we have to give him the report. It was integrated mainly with Microsoft Excel and Word. The integrations were strong, which is what the clients require. It was quite easily obtainable because you could manipulate the information in Excel.

The technical support for the solution depends on the company that you are working for, but we get good support services. I rate the technical support a seven out of ten.

Neutral

The solution is deployed on the cloud, the mainframe, and a package that was loaded on our server.

Even now, after leaving the corporate world and while working in a smaller company, I could manage the tool's expenses, and I could give the owner of the business a good report on where his money is going.

I work with the tool's free version.

The tool has helped us very well in all our purposes. The tool is very expensive for corporations that are adjusting the software that they use. I worked for a company called Old Mutual. When my country became independent, a lot of the big companies were a bit scared because they thought that because of the new government, South Africa was separate, and there was a very bad system where it was only for whites. When the country changed, a lot of these companies were scared because they obviously had been practicing this kind of apartheid, and so had to relocate. Old Mutual was a British company, and lots of British companies relocated to the UK. Subsequently, I see they have come back to South Africa. I worked at Old Mutual for a long period of ten years. Now I work for a small company that is related to the farming area.

The tool's corporate version is very expensive and requires a monthly hire. I don't know what the payment arrangements are, but I mean, it's pretty it's the product. You can buy it out like you buy other software, and then the tool belongs to you. You have to hire it. You are tied in as long as you use the product. So, I think that may be one of the reasons why these big corporations are all trying to save money. They would go where they can get similar value for money, or in terms of the computer or processing needs, but where the money is much less.

Everything is expensive today, and it all depends on the exchange rates. At one point, my country had an exchange rate of the dollar or the pound, which was very much equal. I think that in one space, they wanted to keep it that way, but subsequently, I don't know if it was because of oil sales or something, they resorted again to exchange rates where factors like imports and exports, your country's balance of payment or so. The exchange rate between currencies was completely dependent on what you bought and what you sold. Suddenly, from two ZAR for a GBP, there were changes, and it went to twenty ZAR for a pound, so you can imagine what it does to poor countries.

If ten is the best price and one is very expensive or not affordable, I rate the tool a five out of ten. I think it's an overpriced tool. The tool is losing out on its client base because people are looking for cheaper alternatives.

It is a very good product. We used it for a very long time in the company. It was just now with all the innovations in software that price is becoming a factor. If I could buy the same product at a quarter of the price, I would do that.

Speaking about how the tool offered enhanced advanced analytics capabilities, I would say that my kind of work was more data analysis. The tool had lots of integration with data analysis and with analytics itself. I am a bit inexperienced in the analytics-related area.

I didn't do much with the tool's new features. I think AI is something that came after my retirement from the corporate world, but it seems like it is becoming a very big thing. I have just been playing a little bit with it and reading up on it, but there is a lot of hype about it at the moment.

I have used it for so many years. I never had any problems in the corporate world where I worked. They were always very happy with whatever it was, and whatever was requested in terms of data analysis, I could provide.

I worked in various departments. We used a different software. I could integrate it with other tools. I would give the data into Excel. If other products couldn't access SAS directly, I had to do it through Excel. It was a corporate decision to use the tool.

I rate the tool a ten out of ten.

We use the solution for primarily reporting and dashboarding in the organization.

The solution has definitely improved our decision-making process.

The visualization capabilities and the email functionality are most beneficial. The interactiveness of the reports is also valuable.

Some capabilities are missing compared to Power BI, especially when working with spreadsheet types. Furthermore, Excel is more customizable compared to SAS Visual Analytics, which can be quite rigid. There's room for improvement in data integration capabilities.

I have been using the solution for about four years.

I rate stability about a seven. We have encountered some glitches and bugs that we have reported to SAS for fixing.

I would say scalability is quite easy with the solution; I'd rate it about eight out of ten. However, they don't take the cost into consideration, which is a concern.

The initial setup is quite complex.

We used consultants to assist with the setup.

It's about an average of five. It's easy to scale, but it comes with cost.

Power BI and Qlik are the main competitors.

I'd rate the solution seven out of ten.

I work for the European Banking Authority, a European organization responsible for collecting data from all European banks. Our primary role involves setting up migration standards in the banking sector for the European market. We collect supervisory data from European banks, investment firms, and other financial institutions. Our use case involves sharing files, producing analytics, data capture, and generating back-end projections. We then visualize this information and insights, catering to both internal users and external stakeholders, whether public or national entities associated with our organization.

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.

The product is expensive and needs the integration of more languages. 

I have been using the product for 20 years. 

SAS Visual Analytics is stable. 

The solution is scalable. My company has around 20-70 users. 

I have never contacted the support team. 

SAS Visual Analytics' deployment is straightforward. 

We have seen ROI in terms of better analytics, efficiency, and quality. 

We plan to switch to Databricks due to the pricing. Migration to the cloud should be done jointly, considering other products and services in the organization. It is not an easy process and needs to be planned appropriately. I rate the product a seven out of ten. 

We use SAS Visual Analytics for an operation monitoring process to detect operations that do not feed into the required patterns.  Visual Analytics explores the results.

Previously, the analyst had to move the data from one solution to another because the previous solution lacked a visual interface for data exploration. 

With SAS Visual Analytics, they can now complete the entire process within the same environment, eliminating the need to spend time moving data from one solution to another.

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.

There is room for improvement in anti-money laundering prevention and operation monitoring, as well as operation monitoring surveillance.

At the moment, I'm not sure what additional features we would like included, perhaps in a year's time, we'll have more, or, in six months, we'll have more data to propose new features.

The stability could be improved.

I have been using SAS Visual Analytics for six months.

It's in the public cloud as an IAS implementation hosted by Amazon.

It takes a lot of effort to stabilize. We need to change some hardware and configurations to stabilize the solution. It is currently not as stable as we would like.

We have not yet tested the scalability of this solution. But I believe that because it is an IAS implementation, we can improve through hardware.

In my opinion, it is not as scalable as other solutions we have in our company.

We began deploying or using the platform in two lines of business, but we have three more to bring to the platform.

The technical support here in Brazil is not really that great. I would rate it a two out of five.

Neutral

We had that solution installed previously in another solution, Selvaya, but I don't think we used it at the time. We are now using SAS Detect Investigation as a complementary solution, in which we have part of the process, use a gene, SAS collects information and identifies some business situations, and the business guys use Visual Analytics to explore the results of the process.

We previously used the FICO platform, but we switched because FICO's pricing was not scalable. Bringing more data or workloads to the platform required a significant investment in order to scale. 

We needed to change because we have a lot of data to process every day. FICO was also a little more complicated than SAS Visual Analytics.

I would rate the initial setup a three because it is a little bit complex to implement, to stabilize the solution.

The deployment took almost nine months.

We have a team of three people to maintain this solution.

We used the professional services from SAS Visual Analytics.

It's challenging because it's an OPEX cost. It is an operational process, and it is difficult to quantify. We are trying to be more efficient, and once that is accomplished, we will have a clear picture of how we can reduce our operational costs in this activity.

We are currently renewing the subscription.

It's approximately $114,000 US dollars per year.

I would rate the pricing a three out of five.

We have the cloud price to maintain the solution, as well.

I believe they should explore their architecture further with SAS, specifically the architecture implementation. When we talk about servers, the distribution of the component through the servers, we sometimes needed to change that, and I believe SAS should have that more major to implement, it would demand less time from the client.

I would rate SAS Visual Analytics an eight out of ten.

I use the product primarily to visualize data in various fields such as government, education, and healthcare. It analyzes large datasets, detects anomalies and forecasts, and conducts scenario analytics.

The solution has greatly improved my organization by enabling more insightful data analysis. It allows users to ask and answer questions about the data they might not have considered otherwise. This capability surpasses traditional spreadsheets and coding methods by offering a more intuitive approach to data exploration.

The tool's most valuable features are its ease of use and advanced data visualization capabilities. Unlike spreadsheets or coding, it allows users to interact with the data and uncover previously hidden insights, providing a more comprehensive understanding of the data.

The integration aspects of the solution could be improved. While it can mask data, the process can be clunky and could benefit from a more streamlined approach.

I have been using SAS Visual Analytics for approximately ten years.

I rate the product stability an eight out of ten. 

The solution is highly scalable. It can handle thousands to millions of rows of data effectively.

My experience with customer service has been mixed. While I have encountered knowledgeable and helpful support staff, there have been instances where the support could have been more effective.

Neutral

I have used various data visualization tools such as Qlik, Power BI, Tableau, and Spotfire. I switched to this solution because it offers more powerful and intuitive data visualization capabilities, especially for large datasets and complex analyses.

The initial setup can be complex and depends on the specific environment and licensing. It typically requires some time and effort to configure properly.

It can be deployed as a SaaS solution or on-premises. It typically requires an installer and someone knowledgeable in business analytics and data management.

Generally, it does not require extensive maintenance, though occasional upkeep might be necessary.

The product is quite expensive. However, it can be worth the investment if you have the budget and require advanced data visualization and analysis.

I rate the pricing a nine. 

The solution adapts to evolving data environments by allowing for integration with various data sources and providing tools for data science and machine learning as needed.

It is a powerful tool, especially if you work with large datasets and need sophisticated analysis capabilities. However, its high cost and the complexity of its setup might be a consideration for some users.

I recommend it if the user has substantial data and the budget. Other tools like Tableau or Power BI might be sufficient for those with smaller datasets or budget constraints.

I rate it an eight out of ten.

I like SAS Visual Analytics for its ability to provide an initial understanding of data through exploration, even before deep analytics. It is adaptable and can handle large amounts of data. There are many good features, and similar features are available in other tools. For me, its strength is in providing a first view of the data.

SAS Visual Analytics could improve by making it more accessible for users outside the organization. Open-source tools have excelled in this area due to lower costs and better adaptability, especially for projects outside a work environment.

I have been working with SAS Visual Analytics for quite some time. My training was on SAS at the start of my career.

We haven't had any stability issues with the solution. I would rate its stability as a ten out of ten.

I would rate the scalability of the solution as a five out of ten. We use SAS Visual Analytics on a monthly basis at our company.

I would rate the technical support as a nine out of ten. It is great.

Positive

I have an IT background, so the setup of SAS Visual Analytics wasn't complex for me. I mainly worked on the application itself, and the internal support was helpful.

SAS Visual Analytics is quite expensive. 

The predictive analytics capability of SAS Visual Analytics is good and well-priced. The support provided is also a plus, which is why organizations continue to use it. It is a solid choice for predictive analytics.

I would recommend SAS Visual Analytics to others due to its quality, support, sustainability, reliability, and the strong brand behind it.

The most impactful trends in BI and analytics for SAS Visual Analytics users include working with large datasets and vendor codes, which the tool handles well. It is compatible and makes understanding data over time easier.

Overall, I would rate SAS Visual Analytics as a ten out of ten.

It's a powerful tool, and we are using it for statistics and dashboards.

The product has helped us take internal information sources like complaints, warrants, and criminal cases and integrate them into visual analytics to create dynamic reports based on dates, geographical spaces, states, and types of criminalization.

The flexibility of the configuration is valuable to me. We can integrate many objects.

The solution should improve its graphics. It uses more 3D graphics. It will be better if the solution adds more 2D graphics.

I have been using the solution for six months. We started using it in January.

I rate the solution’s stability a nine out of ten.

I rate the tool’s scalability an eight out of ten.

The deployment is kind of complex because we need to install many servers and establish a relationship between the servers and the database. The database part is standard, but the implementation is complex.

We are a government institution. We don't have a return on investment. Overall, I rate the product a nine out of ten.

We use the product for reporting. When we do reporting, we start with the data collection and also integrate that data into one source, the different packets of data. Then, we have one dashboard and have reports for different data sources.

We also do analysis. 

It doesn't require human intervention. When you were designing your databases, if you've designed them in a correct manner, everything is automated and you don't have to worry about anything.

Everything we want out of this solution we get in terms of the user requirements, and features. Everything is available to us. 

It's also user-friendly.

The product is stable, reliable, and scalable. 

Technical support is very quick to respond when we need their help.

If the cost could be a bit lower, we'd give it perfect marks. The reason we haven't rolled it out across the board is due to the fact that the licensing is so expensive.

We started using the solution in 2020, however, it was a pilot. The full use started in 2021.

The solution is very stable. There are no bugs or glitches and it doesn't crash or freeze. It's very reliable and the performance is good.

The solution can scale well. It's not an issue. 

We have less than 20 people licensing on the solution due to the licensing implications. They're a mix of IT and business people. 

Technical support is great. They are fast. This is due to the fact that we have a service level agreement with the SAS team.

Positive

We had a proof of concept and evaluated it against other solutions. This was the one that met our business requirements. That's why it was chosen.

The initial setup took us about six weeks. We had capacity issues. The people dealing with it had limited resources in terms of dealing with the setup. We only had so many people that were skilled. 

I'm not sure if the process was easy or difficult, however. I never asked my colleagues for their opinion. I wasn't part of the initial implementation process. 

While I don't have exact licensing details. I do understand that we pay an annual licensing fee. 

We are a customer and end-user. 

Our IT mostly handles the solution and therefore I'm not sure which version we're on. I assume it is the latest and is automatically updated. We're on an enterprise version. 

I'd advise potential new users to first pilot it and also ensure that you are clear about your business requirements before starting out. It will help make things go more smoothly.

I'd rate the solution nine out of ten due to its agility and also in terms of its effectiveness. It's not a complicated app to use.