Please fully address the discussion prompts below. Your answers must fully address the prompt with a well thought out, well written and constructed, substantial post. You also must reply to at least 2 classmates with full, complete and substantial responses. Original posts are due Wednesday at 11:59pm and replies to classmates are due Sunday at 11:59pm. Original posts should have your claims supported with material from the text and other outside readings you may find (citations and references). Replies to classmates are not required to have citations and references, but are to be thought provoking, insightful, challenging, and move the conversation forward.
Prompt 1 What privacy issues have/may arise with data mining? Do you think they are substantiated? Explain
Prompt 2 What are the fundamental differences among the various data mining methods?
Prompt 3 How do organizations gain a strategic competitive advantage using predictive analytics?
Prompt 4 What obstacles do organizations face in deploying data mining and prescriptive analytics? How might they overcome these obstacles?
All original prompts should be supported with proper citations and references.
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