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Altair by Angoss Predictive enables business users allows businesses to execute predictive analytics and data mining without the complications of algorithms or programming code. This product scores high points among customers for offering guided workflows for data mining, making it possible for a wider audience to explore their data, saving companies both time and money. While it doesnt receive great marks for in-house visual presentation, being dinged for looking dated, it does feature a tableau integration option, allowing users to create striking visualizations. Built to meet the needs of medium to large-sized business, Altair is a solid choice for in-house data mining efforts.

When it comes to open-source data mining products, Orange is a solid choice. Branded as fruitful and fun, data mining through Orange conducted by python scripting or visual programming. The platform comes with built-in regression algorithms and, for those who are well versed in scripting programs, provides an intuitive, responsive experience. It should be noted that this product is not ideal for novices. Suited for operations of any size, Orange can be a cost effective means of meeting a companys data mining needs, so long as they have the experience to be able to properly manipulate the software.

Identify a commercial data mining software product (e.g., SAS) and an open-source data mining product (e.g., R). Based on objective reviews of each (e.g., Gartner), compare and contrast the two products. In your responses, describe the type of organization for which one of these products might be the best fit, and provide examples, if possible. Identify a commercial data mining software product (e.g., SAS) and an open-source data mining product (e.g., R). Based on objective reviews of each (e.g., Gartner), compare and contrast the two products. In your responses, describe the type of organization for which one of these products might be the best fit, and provide examples, if possible