SAS Enterprise Miner Competitors and Alternatives

Read reviews of SAS Enterprise Miner competitors and alternatives
Real User
Program Manager - Enterprise Command Center at a financial services firm with 10,001+ employees
Jan 08 2018

What is most valuable?

Log Analytics (LA) allows a user to see patterns of behavior and isolate issues quickly, without the need to manually access individual systems and parse logs manually. Similar to other Log Analysis engines, Tivoli's LA tool also allows for... more»

How has it helped my organization?

The IBM monitoring software products (Tivoli) are not easy to instrument and require many separate pieces of the total framework to be operationally functional and useable. That said, adding LA on top of a well deployed & working Tivoli... more»

What needs improvement?

The visual presentation layer of LA is less than cutting edge, but we are lucky to have early access to a Kibana add-on that will give us some more attractive and flexible views. The indexing engine (proprietary build of LogStash) is well...... more»
Real User
Founding Partner at Altdata Analytics
Jun 02 2018

What is most valuable?

* Automated data preparation, cleansing, and imputation of missing data. * Some basic form of feature engineering for classification models, automated binning, etc. This really quickens the model development process. * Automated modelling,... more»

How has it helped my organization?

* Pretty much the automated modeling process helps us to get going so quickly. * A lot of jobs that are stuck in Excel due to the huge numbers of rows are tackled pretty quickly.

What needs improvement?

* Formula writing is not straightforward for an Excel user. Totally new set of functions, and it takes time to learn and teach. * Automating procedures: Writing macros is not easy and difficult to learn. * It is not integrated with Qlik,... more»
Knime
Real User
Business Analyst at a retailer with 501-1,000 employees
Apr 04 2018

What do you think of KNIME?

Primary Use Case All analytics individuals use KNIME to integrate multiple sources of data (SQL, excel, etc.) and prep the data for static reporting. • Improvements to My Organization We are able to automate several functions which were done manually. I can integrate several data sets quickly and easily, to support analytics. • Valuable Features Visual workflow creation Workflow variables (parameterisation) Automatic caching of all intermediate data sets in the workflow Scheduling with the server • Room for Improvement The overall user experience feels unpolished.  Data field type conversion is a real hassle, and date fields are a hassle. Documentation is pretty poor. User community is average at best. • Use of Solution Less than one year. • Stability Issues ...

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