SAS Visual Analytics Reviews

This product is for dashboarding. We design dashboards for the higher management, for operations, and for the sales team. We facilitate the major components of the organization so that management can assess the profitability of the organization, and maintain financial health. We design dashboards for operations so they can optimize the entire process and another dashboard for our sales department. I'm the chief manager and we are customers of SAS. 

SAS VA is an amazing tool for handling complex data models. From our perspective, the main value is the ability to render bulky data. It also provides good flexibility to integrate with other applications.

The solution is a little weak at the front end.

I've been using this solution for seven years. 

The solution is scalable, we have around 300 users. 

SAS has a very supportive nature in India. We've used the local support as well as some support from the US. It's very good. 

Positive

The initial deployment took about four days and a couple of people were involved with that. We used a third-party vendor for implementation. Visual Analytics is a complex model. If I need to make changes, I have to hire a vendor or other external help. There's no internal team able to handle the level of complexity, so we have to spend more to maintain the configurations while maintaining the audit. We have two people who deal with maintenance.

I highly recommend this solution to those working in the finance sector. SAS has a huge data capacity which is not available in other tools. 

I rate the solution eight out of 10. 

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 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 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. 

It was helpful for creating KPI dashboards to report the status of the operations of the entire company to the management.

It provided the capability to visualize a bunch of data in an organized way.

In Brazil, there are few documents, courses, and other resources for studying and implementing the tool.

I used it for about two years at a previous company. 

It was very stable.

It is very scalable. We implemented it for many clients. We had about 200 clients.

In my experience, we didn't use technical support at any time.

We didn't use any other solution previously.

It seemed straightforward. Its implementation took about three to six months.

It was implemented by our consultants. We had about four to six people. After implementing it, the clients handled the operations and took care of its maintenance.

We didn't calculate ROI for implementations.

It was licensed for corporate use, and its licensing was on a yearly basis.

I would advise planning very well before implementing it. You should map the primary data very well.

I would rate this solution a nine out of ten.

Quick deployment to dashboards and analytics features (using SAS Visual Statistics and Enterprise Guide). Easy to create a simple forecast and discover business insights using segmentation tools.

Agility in dashboard creation and evaluating statistics with simple models.

• Connectivity with other data origins
• Visualization is poor
• Create KPIs directly

Normally it is stable, if the hardware is correct.

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.

Seven out of 10 for the SAS Support home page and direct support.

QlikView and Qlik Sense, IBM Cognos suite.

The straightforward part: Create a dashboard and calculate attributes. You don’t need programming experience using SAS Visual Analytics. You can export to Excel or PDF directly. The complex part: Creating a relationship between tables.

Compare pricing online with other vendors; licensing type is simple.

Qlik, IBM Cognos, MicroStrategy, and others.

Right now at the company, we have a few projects in Visual Analytics. We have more in Qlik, however, gradually, we will change to SAS Visual Analytics.

It's very good. Very good. For our use, it is better than Qlik. It's easier to use than other competitors.

It's easy to set up for the most part.

It's a stable, reliable product. 

The solution can scale. 

Technical support has been great in general.

I haven't come across any missing features.

While I've used SAS for about seven months, I've worked with data science for about three years.

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

The solution can scale. It's not a problem.

We have 50 people on it right now, approximately. I'm not sure if we have plans to increase usage.

Technical support has been excellent. We are very happy with how helpful and responsive they have been.

Positive

We are also familiar with Qlik, however, this solution is better for us in general. We've also worked with Tableau. We've found the integrations with SAS better.

We haven't found the initial setup too difficult. I'd rate it three out of five. So far, the deployment has taken about two months. 

We have two or three people working on the deployment and maintenance. 

We handled the implementation in-house. 

While I can't speak to the exact price, likely after one year a company would begin to see an ROI.

I don't directly deal with licensing. I can't speak to the exact price of the product. 

We did evaluate other options. We did look at SAP, however, we focused on SAS in the end.

I'd recommend the solution to others. I would rate it ten out of ten. It's been great.

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.

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.

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.

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.

I have used SAS Visual Analytics for approximately six years.

I have found the solution stable.

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.

I have used Microsoft BI and Tableau.

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.

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.

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

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.