Please share with the community what you think needs improvement with SAS Enterprise Miner.
What are its weaknesses? What would you like to see changed in a future version?
The visualization of the models is not very attractive, so the graphics should be improved. I would like to see the user interface improved a bit.
The ease of use can be improved. When you are new it seems a bit complex. The initial setup could be simplified. When you want to do something or you want to use a tool, it can be difficult to find where to go and to know what to click. In the next release, I would like it to be more compatible with other products, and to have better visualization.
The solution should be faster. Virtualization could be much better. The solution could add some freeware. The text analytics, for example, aren't there in the VSL version. It requires a separate license. It should be included in the main solution's license as it's a basic requirement. It's shouldn't cost extra.
The solution needs a language integration like Python for the user with more efficiency programming; SAS is kind of a powerful tool in past years that focus in SAS environment. but Python is more open and popular, which will be more acceptable in today's data science area.
We are using a very old version of SAS Miner, so I'm not sure if my opinions would be relevant for many people as they may be out-of-date. From my point of view, a useful feature that we need from this tool is a history of development. When a user develops a model, each step of development requires new steps, and we want to be able to audit all these steps due to our regulatory requirements in model development. In SAS, we just copy via a screenshot from the system and put it in some document that covers the relevant stage. I know other systems have a feature to audit all steps to show what the user has done through the entire process of developing a model. It would be a time saver for us. The preparation of both the mining and modeling process could be improved. The solution requires data and will reflect data, but the preparation of the data is not useful for end-users. We ended up having to do the preparation in another tool.
The user interface of the solution needs improvement. It needs to be more visual.