data analysis and findings and discussion on assessment in higher education
Universities use a number of data analytics models; one of the most common is to use predictive analytics modules to drive decision-making.
Predictive analytics use historical data, collected over long periods of time, to inform future choices. Universities can use predictive analytics models to help with several agendas, from improving recruitment and retention to meeting students’ needs.
Combined with real-time data analytics, predictive models can use stream processing to calculate what might happen in the future, but at a faster pace.
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