Understanding and Managing the Risks of Analytics in Higher Education: A Guide

Abstract

This guide provides an introduction to the major risk categories faced by a higher education institution considering investments in time, energy, and money in analytics work. Under the right circumstances, decision making can be enhanced by the tools and techniques of analytics; large data sets, analytics engines, and new data visualization techniques have considerable potential to enhance both student learning and institutional business intelligence. However, careful consideration must be given to the risks of such investments for those in institutional leadership roles as well as the risks associated with data and information governance, compliance, and quality.

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