Data analytics is increasingly important to the operations and strategic growth of higher education institutions. In September 2019, three higher education professional associations issued a rare joint statement calling for the accelerated investment and intensified efforts to develop and deploy data analytics in support of campus decision making.…

This chapter describes the background and process for collecting postgraduation outcomes data at a 4-year not-for-profit private college. The strategies, analyses, and reporting of this data-collection effort are highlighted with the use of a case study.

This chapter provides a conceptual model that academic leaders can use to navigate the complex, and often contentious, organizational terrain of academic program development. The model includes concepts related to the institution's external environment, as well as internal organizational structures, cultures, and politics. Drawing from the…

As a tour de force, data mining is likely to gain wider use in the next few years. To facilitate this transition, we make several recommendations addressed to both institutional research professionals and the Association of Institutional Research.

Data-mining technology's predictive modeling was applied to enhance the prediction of enrollment behaviors of admitted applicants at a large state university. (Contains 4 tables and 6 figures.)

This case study documents a successful application of data-mining techniques in enrollment management through a partnership between the admissions office, a business administration master's-degree program, and the institutional research office at Willamette University (Salem, Oregon). (Contains 1 table and 3 figures.)

Presents the elements, components, and processes involved in setting and maintaining Web portals. Uses Santa Barbara City College as a case study of a portal implementation with the purpose of supporting knowledge management; underscores the role played and benefits gained by institutional research and the college as a result. (EV)

Examines the theoretical basis for data mining, one of the essential knowledge management processes, and uses a case study to describe its application and impact. (EV)

A case study at a major state university illustrates the opportunities and pitfalls accompanying the use of interinstitutional comparison. West Virginia University's experience suggests that the greatest impact of institutional and interstate comparisons is likely to be in long-range rather than short-term planning. (Author/MSE)