W6 Graded Discussion: Techniques for Predictive Modeling

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W6: Techniques for Predictive Modeling

Graded Discussion:  Techniques for Predictive Modeling

Create a new thread and address the following discussion question.

When we think about various techniques for predictive modeling, always remember that the realm of predictive analytics is the use of data which is supported with various statistical algorithms and even machine learning techniques.  When properly used, these methods and techniques can be used to identify the probability of future outcomes based on historical data.

When an organization needs to use predictive modeling or analytic techniques, they have many tools to consider and some include the following not limited to:

• SAS Predictive Analytics (https://www.sas.com/en_us/insights/analytics/predictive-analytics.html)
• IBM Predictive Analytics (https://reviews.financesonline.com/p/ibm-predictive-analytics/)
• SAP Predictive Analytics (https://searchsap.techtarget.com/definition/SAP-Predictive-Analytics)
• Rapid Miner Predictive Analytics (https://rapidminer.com/resource/operationalize-predictive-analytics/)
• Altair Predictive Analytics (https://www.datawatch.com/in-action/angoss/)
• Any many others

Using the list of predictive analytic tools listed above or using others of choice, compare at least three or more of these tools based on research and or experience and share with the class which you would prefer any why?

Discussion Expectations

Please make sure to proof read your post prior to submission. They should be well written and free of grammatical or typographical errors.

Initial postings are due by Wednesday. You are encouraged to post your follow-up comments to different students and you can do more than two if you want and these peer replies are due by Saturday.  Postings should include scholarly detail with research support where appropriate.