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SAS Enterprise Miner Room for Improvement

PS
Professor at a university with 1,001-5,000 employees

I don't know if there are any features this solution needs.

While I don't personally need tutorials, I can't say that it wouldn't be helpful for others to have some to help them navigate and operate the system.

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SK
Senior Systems Engineer at a financial services firm with 10,001+ employees

We really don't like the protocols the solution offers. 

The solution is much more complex than other options.

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Head Of Risk Management at a financial services firm with 11-50 employees

One improvement I would suggest is the compatibility with Microsoft SQL and to improve all communications to the solution.

For a future release, I would like for the solution to be combined with other product offerings as opposed to a lot of separate solutions. For example, Text Miner is a separate product. I have to spend additional money to purchase a license for Text Miner.

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Find out what your peers are saying about SAS, IBM, Knime and others in Data Mining. Updated: January 2022.
564,322 professionals have used our research since 2012.
HV
Executive Head of Collections at a retailer with 5,001-10,000 employees

The main issue with the solution is the high cost, it's very expensive. You really need to be a corporate company to buy the software. Individuals or small business wouldn't be able to afford it. Technical support could also be improved. 

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Business Intelligence Developer at a media company with 1,001-5,000 employees

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.

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HM
Data Analyst at a financial services firm with 201-500 employees

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.

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Find out what your peers are saying about SAS, IBM, Knime and others in Data Mining. Updated: January 2022.
564,322 professionals have used our research since 2012.