After joining this program, I have seen the progress of my knowledge and skills in financial reporting and specialized accounting topics advancing rapidly. Looking back to the first day I started this class, I had no experience working with extensive datasets. My current job only involves the accounting of small data sets. The assignments of this class have taught me how to prepare analysis using real big data sets, which is an experience I value as these skills will open up better future opportunities in my career. According to the article I found the best KPIs to measure student academic progress : Academic performance data refers to metrics that measure and track academic progress and achievement. The KPIs for this analysis include GPA, rank-in-class, or first-year performance in core subjects. GPA is a straightforward metric that correlates to student grades. Student engagement data refers to the degree of attention, curiosity, interest, optimism, and passion that students show when they are learning or being taught, which extend to the level of motivation they have to learn and progress in their education. Some of the KPIs to use are the number of percent students participating, students' feedback, number of attendance, and LMS session usage. Academic history refers to the module marks contributing to your progression or final award classification. It includes previously held credits. Some examples of KPIs for this analysis are secondary education GPA, standardized test score, and pre-university preparation. Characteristic refers to an analysis to discover who the students are, what they think, and how to reach them most effectively. KPIs for this analysis are enrollment status, academic track, demographics, and financial aid status