Miami University has an enrolment of nearly $20,000$ students on its main campus in Oxford, Ohio. The cost of tuition and fees is around $$15,000$ plus another $$13,000$ for room and board. Out$-$of$-$state students pay almost an additional $$20,000$ their first year. U$.$S$.$ News & World Report has ranked Miami University in the top five schools for undergraduate teaching since $2011.$ It also described Miami University as having an "astoundingly beautiful" campus.Faculty and administrators at Miami University are gathering data to improve student success, retention, and graduation rates. This includes data to measure the spectrum of students they recruit in high school, data to show student progress toward graduation, data to show when and how the university can support them during their college career, and data to measure their graduation success and beyond. Predictive analytics is used to analyse much of this data to enable Miami University to better support students and, in many cases, take pre$-$emptive action prior to the student leaving the institution.

QUESTIONSIdentify five likely sources of data that would be useful to track and$/$or improve the academic success, retention, and graduation rate of an individual student.Develop three examples of how predictive analytics might be used to trigger a planned student$-$faculty or administrator interaction to help a struggling student before the problem became too serious.