Location
Hilton Hawaiian Village, Honolulu, Hawaii
Event Website
https://hicss.hawaii.edu/
Start Date
3-1-2024 12:00 AM
End Date
6-1-2024 12:00 AM
Description
Earlier research in Big Data and Analytics led to the development of an analytic class taxonomy which organized analytics by application area. Further research motivated a need for better descriptions and a realization that analytics have many variations based on implementations for specific platforms. The authors realized that transformations of an analytic from one form to another could yield improvements in performance, space utilization, and other attributes. This paper examines analytic forms and the transformations among them with the goal of documenting them in a comprehensive manner. It proposes the development of an Analytics Catalog as a mechanism for documenting analytics classes, their membership, and the transformations among forms.
Recommended Citation
Kaisler, Stephen; Money, William; Espinosa, J. Alberto; and Armour, Frank, "Analytics Morphology and Transformation" (2024). Hawaii International Conference on System Sciences 2024 (HICSS-57). 8.
https://aisel.aisnet.org/hicss-57/da/big_data_and_analytics/8
Analytics Morphology and Transformation
Hilton Hawaiian Village, Honolulu, Hawaii
Earlier research in Big Data and Analytics led to the development of an analytic class taxonomy which organized analytics by application area. Further research motivated a need for better descriptions and a realization that analytics have many variations based on implementations for specific platforms. The authors realized that transformations of an analytic from one form to another could yield improvements in performance, space utilization, and other attributes. This paper examines analytic forms and the transformations among them with the goal of documenting them in a comprehensive manner. It proposes the development of an Analytics Catalog as a mechanism for documenting analytics classes, their membership, and the transformations among forms.
https://aisel.aisnet.org/hicss-57/da/big_data_and_analytics/8