SAS Visual Analytics Software

Pros

Easy to use, interface, powerful and effective

Cons

Very high price, need more cheaper package s

The ability to connect with all third parties (that we use) and merge their data together in one system then analyze the structured information in a consistent and reliable way makes SAS Business Intelligence a very powerful system. The ability to run code that we made 10 years ago is also very nice.

Pros

The ability to connect with all third parties (that we use) and merge their data together in one system then analyze the structured information in a consistent and reliable way makes SAS Business Intelligence a very powerful system. The ability to run code that we made 10 years ago is also very nice.

Cons

The complexity and inconstancy of the product is not always the most desirable. Often times doing similar things requires very different approaches. SAS Business Intelligence has been around for such a long time that different "procs", as they are called in their system, often have extreme variance in syntax.

Better decision making. Getting more from our data. Do not need to think about all the possibilities before publishing charts and tables: let the user decide.

Pros

Very easy to use. All necessary charts are there, and more. It is very simple to add data and then to add more calculated fields. Since data is in memory, everything is fast. You make a change to a filter and your new chart is there. You can start with the Visual Analytics module, and grow from there.

Cons

The security features, which seems more than adequate, are sometimes harder to use. It is not easy to see what amount of storage your are currently using with all the stocked data.

It is complete BI suite. You can do everything with Data.

Pros

I am using this since last 8 years and you can do everything with data using SAS BI.
I have used it for ETL, reports and for modelling but we can created dashboards and so many other other things.

Cons

Biggest disadvantage is cost factor. SAS is quite costly and small organisations cannot really afford it. Now we have freewares in market like python and R replacing SAS.

Pros

It has lots of out-of-box packages. Before open-source era it was some kind of industry standart. It plays well with big data.

Cons

Open source platforms are becoming popular. It's still too expensive. Post-sales support is not good.

It is one of the most intuitive software I've ever tried, very user friendly and very efficient (both usability and ease)

Pros

Excellent visualization tools such as heat maps, all in all is an easy software because it does not require long training sessions (for the front end is very intuitive), everyone can do dashboard autonomously (once the programmer has prepared the cloud data and standard fields). Excellent feature that allows users to share comments directly on the charts (on the Qlik suite is not possible for example)

Cons

It would be interesting to add the tool to create stories, or dynamic presentations (such as power point), obviously the price is high (like the most BI software), so it makes the software suitable only for large companies. The minimum requirements for accommodating the engine on the server are high

Pros

It's Visual Data Exploration capabilities to visualize the data and find patterns quickly is amazing. The features such as heat maps helps us understand where most of the traffic for an advertiser is coming from and helps the advertiser to target the customers more effectively. Creating Dashboards doesn't require a lot of technical know how and anyone can start making dashboards. Also, these dashboards and reports simplifies collaboration as different people are able to share their comments by directly commenting on the visuals or charts.
Another feature which interests me is that it allows to integrate with other open source platforms like R.

Cons

Such a comprehensive set of features with a brand like SAS obviously comes with a price but I find the price to be over the top for the small and medium organizations. Only a few open source platforms are supported and lot of common ones used by a lot of smaller organizations have been left out. Further, user interface looks dated and needs a facelift to match other players like Tableau.

Pros

- a real user friendly tool
- wide range of software and different types of installation
- great customer support

Cons

- Considering the costs, maybe not so accessible (quite high license price) compared to other statistical software but anyway the quality of the tools is really high.

SAS has a wide range of products, making it kind of complex, but at the same time powerful and adaptive. now they're moving to the cloud, and that it's going to make things faster,and lighter. I 've worked with them for many years, and I wouldn't change. Also service support is more than great here in Spain.

We have been using SAS since the 1980's
We like it, but find it pricy for a small firm such as ourselves

Pros

Feature rich

Cons

Tough to learn

Advice to Others

Lower the price

It's really been awesome. As I can remember, I told a colleague sometime back, before I got into SAS that, his problem would have been better solved if i had a package with programming abilities, as he wanted me to do some analysis for him. I found out later when I got into SAS that, it was exactly the package I was talking about. I haven't regretted at all using SAS.

This software is excellent in relation to every segment of business intelligence. It covers every aspect of our business and provides the opportunity synergize.

This product is the best there is. very user friendly. and very efficient. The ui is so easy to use. Love this product.

Pros

easy

Cons

Nothing yet, but I will certainly be vocal, if I have a bad experience.

Advice to Others

simply incredible

I have not used it, but it's a great product. It will be less development time for organizations, and benefit to all users.

SAS is a great statistical software tool, but really lacks compared to other software out there. I find R and Python to be just as easy to use and are available for free. Looking at cost, R is superior to SAS.