SAS Enterprise Miner is a data mining and predictive analytics tool that provides a comprehensive environment for creating, testing, and deploying predictive models. It facilitates data analysis through various techniques such as decision trees, regression, neural networks, and clustering to uncover patterns in large datasets and support decision-making processes.
About SAS Enterprise Miner
SAS Enterprise Miner was developed by SAS Institute as part of their suite of analytics software. It was introduced in the late 1990s to address the growing need for advanced data mining and predictive modeling capabilities. The tool aimed to provide businesses with a robust environment for analyzing large datasets and extracting valuable insights to improve decision-making processes.
Strengths of SAS Enterprise Miner included its comprehensive suite of data mining tools, user-friendly interface, and integration with other SAS products. Weaknesses involved its high cost and steep learning curve for new users. Competitors included IBM SPSS Modeler, KNIME, RapidMiner, and Microsoft Azure Machine Learning.
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How to hire a SAS Enterprise Miner expert
A SAS Enterprise Miner expert must have skills in data manipulation, statistical analysis, and predictive modeling. Proficiency in using SAS programming language, understanding of machine learning algorithms, and experience with data mining techniques are essential. Familiarity with the software's interface and its integration capabilities with other SAS tools is also crucial.
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$ 97K
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