I would rate SAS Enterprise Guide an eight out of ten. They are good, but they could be better.

Overall, I would rate it seven out of ten.

I rate SAS Enterprise Guide nine out of 10. 

I would recommend this solution. However, it depends on the use case that they want to use it for. I am not sure of the price of the solution which could play a big role in if it is useful enough to purchase at the price. It is a solid solution in my experience.

I rate SAS Enterprise Guide an eight out of ten.

It depends on the users. It depends on how you use it. Sometimes, if you run a lot of queries together at the same time, it'll be difficult. If you're using it in a sequential manner, it'll be much better. So, before starting, you should understand the usage of SAS. It's not like Microsoft Office. It's a little bit complicated or delicate software. So, if any wrong query is executed, the query would keep running, and you might think that it'll not come back.

I would rate it a seven out of ten.

SAS Enterprise Guide does what it does quite well, we use it for a particular purpose. We haven't explored some of the other opportunities with a lot of the statistical modeling and other options that it provides, but those would be nice to have.

I would advise others to start with small use cases and then scale up. It will scale very well to many of the functions that you want in data science and data engineering.

I rate SAS Enterprise Guide a seven out of ten.

The reason I wouldn't rate Enterprise Guide as 10 is that it is lacking some features that we are looking for.

Overall, I would rate it six out of ten.

I rate the solution an eight out of ten.

I would rate it quite high, but because I don't have experience with other similar solutions, I cannot say how good this is. I have nothing to compare it to, as my experience is limited to SAS EG and Tableau. For my purposes, it has been great, but I don't know how well it can find patterns by itself with machine learning.

I read in the newspapers and the internet that so much more is doable. The preliminary analysis could be done with a machine. Right now we have average, mean, median, but machine learning could provide much more.

From that, instead of looking at thousands of lines, one could just look at a few graphs and see where you should dig further into. Perhaps you could have a video or dashboard.

I don't mean generic dashboards. I mean a dashboard, which you can then pull up and down to see what else is there. They have that technology these days. I think it should be possible without stretching too much.

I would rate this solution as seven out of ten.

I would recommend this solution. It is a very good tool for outputs from different domains, such as ETL reporting, data science, etc. It would be good to bring more functionalities similar to Data Integration Studio so that we have one single tool. 

I would rate SAS Enterprise Guide an eight out of ten.

When looking at different tools on the market for data analysis what you need depends on what you want to do. If you have a portfolio within your organization, you may feel that you will need a lot of other tools in addition to make a proper analysis. SAS is a broader solution. It is not just the Enterprise Guide. It has marketing automation and there is even stream processing. Then there is Enterprise Miner. Enterprise Guide is a suite and not just a one-dimensional tool.  

If you feel that you are ready to make an investment and you need the capability of advanced analytics within your organization, you will be able to utilize the whole tech stack with Enterprise Guide. If that is the case, then obviously I think you should go for SAS because it is a more mature and evolved product than most other products. In addition, the opportunities for integration with the SAS platform is really good.  

If you need a specialty architecture, you have Alteryx on one side and you have SAS on the other side. If you do go with Alteryx, then you have a separate campaign management tool and you may not be able to get the full benefit of an integrated solution.  

People considering SAS Enterprise Guide should also look at Alteryx. It is pretty simple. Some people on my team feel that Alteryx is actually much easier to use for what they do and that its interface is much better even if it is similar to Enterprise Guide. The overall availability of different kinds of features is much better in Alteryx.  

I think the first step of evaluating potential solutions should be to look at your roadmap. If you want to go start simple, then obviously you can start with any tool. But if you have a roadmap in place or if you are not a beginner, then I would suggest going for one integrated platform as a suite rather than multiple tools. Having an integrated solution is probably a better overall.  

On a scale from one to ten where one is the worst and ten is the best, I would rate Enterprise Guide as a seven overall. It is a good product but it lacks some important features other products are coming out with.  

You must have a basic background in programming, such as SQL programming, to use it easily.

I would rate SAS Enterprise Guide an eight out of ten.

Anyone implementing this solution should check the online manual where they have very good information on how best to use the product. Whenever you have a problem that needs to use a data solution, you can just do a quick Google, and add in the link to that website, and it can show you a lot of solutions. There are also free education manuals and training courses from SAS itself. It's worth taking a look at the SAS programming essential one, and get used to this product. 

Always save your data!

I would rate this product an eight out of 10. 

If you have enough budget, it is a very good tool. It's important to take into account that if you need to work with advanced models like neural networks or random forest that models are not supported by SAS/EG, you will need another SAS tool, such as SAS Enterprise Miner.