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Paper Type
Complete
Description
Despite the increasing popularity and demand for analytics projects, the uncertainty in goals and dynamic processes involved in these projects behoove IS researchers to further understand the project management techniques applicable to these projects. In this paper, I illustrate the process of carrying out an analytics project using an agile project management approach. In this project, following the project management concept of "tailoring", fsQCA is used to analyze the effective treatment configurations of traditional Chinese medicine and Western medicine for diabetes. This illustrated process could be potentially used in various small-sized analytics projects carried out by IS researchers, and R&D efforts. The practical implications of the analysis for medical providers are also discussed.
Paper Number
1619
Recommended Citation
Weng, Qin, "Agile CRISP-DM for Analytics Projects: Understanding Diabetes Treatment Using fsQCA" (2023). AMCIS 2023 Proceedings. 4.
https://aisel.aisnet.org/amcis2023/sig_itpm/sig_itpm/4
Agile CRISP-DM for Analytics Projects: Understanding Diabetes Treatment Using fsQCA
Despite the increasing popularity and demand for analytics projects, the uncertainty in goals and dynamic processes involved in these projects behoove IS researchers to further understand the project management techniques applicable to these projects. In this paper, I illustrate the process of carrying out an analytics project using an agile project management approach. In this project, following the project management concept of "tailoring", fsQCA is used to analyze the effective treatment configurations of traditional Chinese medicine and Western medicine for diabetes. This illustrated process could be potentially used in various small-sized analytics projects carried out by IS researchers, and R&D efforts. The practical implications of the analysis for medical providers are also discussed.
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