When there is a disparity in the value of different data records and fields, there is a need for an optimization of data resources. Not all data necessarily contribute the same value. It depends on the usage of the data, as well as a variety of other factors. This paper presents models for optimizing data management in the presence of a disparity between the values contributed by different data. We expound on what disparity of data value represents and illustrate models to derive a numerical measure of such disparity. We then use real-world data from a large data resource used to manage alumni relations, and demonstrate our optimization methods and results. We then discuss the tradeoffs involved between value and cost, and the implications for data management, both in this real-world context and in general.
Shankaranarayanan, G.; Even, Adir; and Berger, Paul D.
"Optimizing Data Management with Disparities in Data Value,"
Journal of International Technology and Information Management: Vol. 24:
3, Article 1.
Available at: https://scholarworks.lib.csusb.edu/jitim/vol24/iss3/1