As the name might imply, Business Intelligence has mostly been applied in business circles. However, We may draw parallels between business and higher education. Both need actionable information in order to maintain their marketplace position; in addition, the organizational structure of a large university may resemble that of a large company [1]. The goals of BI may differ in context, but the outcomes remain the same: tell us what happening, why it is happening, and what we can do about it. A number of maturity models are referenced in this paper, and an integrated taxonomy from these models is proposed. Finally, guiding principles for establishing a data-centric culture are presented.
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Business Intelligence at the University
Semantic Scholar · Business · 2019
Abstract
As the name might imply, Business Intelligence has mostly been applied in business circles. However, We may draw parallels between business and higher education. Both need actionable information in order to maintain their marketplace position; in addition, the organizational structure of a large university may resemble that of a large company [1]. The goals of BI may differ in context, but the outcomes remain the same: tell us what happening, why it is happening, and what we can do about it. A number of maturity models are referenced in this paper, and an integrated taxonomy from these models is proposed. Finally, guiding principles for establishing a data-centric culture are presented.