Please see attachments on the case study: Please make sure it is not done by the AI. Last assignment was 100% AI and it was picked up by the school.
Analyze Application Case 2.2 (pages 68–74): Improving Student Retention with Data-Driven Analytics, and answer the following questions.
Why would student attrition in higher education be of serious concern for the U.S.
Departments of Labor, Education, Justice, and Commerce?
Explain why traditional methods to address attrition are still very useful and appropriate.
Discuss possible data-related challenges if a cluster of 10 universities were to be used for the case study.
Analyze why the proposed solutions in the case study will not be sustainable long term.
What are some data gathering processes and techniques that are missing from the case study?
Why do we need data transformation and data processing, and what are the commonly used data transformation tasks?
Analyze the top three data-related challenges for better analytics from art and science perspectives.
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