As budgets shrink and pressure to increase learner success mounts, institutions are looking for ways to be more effective and efficient. Increasingly, these efforts are focusing on how improved data analyses might inform decisions about where best to invest scarce resources. But using data in decision making is proving to be challenging for many organizations—it can be difficult to know even where to start.
In this closing session of the Data & Analytics Summit, you will explore an example of data-informed decision making in action. You will learn from the University System of Maryland’s work with the Predictive Analytics Reporting (PAR) Framework’s Student Success Matrix. Via this example, you will discover how data analysis can answer questions about what is working and what is not. You will also learn how this project is facilitating an emerging culture of data-informed decision making at the university’s institutions.
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