2020
DOI: 10.1111/dsji.12222
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Applying the CRISP‐DM Framework for Teaching Business Analytics

Abstract: Experiential learning opportunities have been proven effective in teaching applied and complex subjects such as business analytics. Current business analytics pedagogy tends to focus heavily on the modeling phase with students often lacking a comprehensive understanding of the entire analytics process including dealing with real-life data that are not necessarily "clean" and/or small. Similarly, the emphasis on analytical rigor often comes at the expense of storytelling, which is among the most important aspec… Show more

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Cited by 27 publications
(27 citation statements)
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“…There are 500 additional observations in cells B1017:M1516, which are used as a holdout sample to evaluate predictive performance. As noted by Jaggia et al (2020), the importance of using a holdout sample should be stressed during the instruction process. To evaluate the predictors with respect to their explanatory importance, all possible subsets OLS regression is applied.…”
Section: Example Contextmentioning
confidence: 99%
“…There are 500 additional observations in cells B1017:M1516, which are used as a holdout sample to evaluate predictive performance. As noted by Jaggia et al (2020), the importance of using a holdout sample should be stressed during the instruction process. To evaluate the predictors with respect to their explanatory importance, all possible subsets OLS regression is applied.…”
Section: Example Contextmentioning
confidence: 99%
“…The deployment phase addresses the need to effectively communicate and transform the SMA results into relevant business insights and data-driven business actions. The final phase label, deployment, was inspired and adopted from the final step in the Cross Industry Standard Process for Data Mining, abbreviated as CRISP-DM (Jaggia et al 2020 ).…”
Section: Brandwatch For Classrooms Product Reviewmentioning
confidence: 99%
“…The primary objective of the final learning phase is to interpret the analysis results, clearly communicate the results to a diverse audience, and translate the knowledge into actionable business recommendations (Yazici 2020 ; Jaggia et al 2020 ).…”
Section: Integrating a Social Listening Platform Into A Marketing Analytics Course Designmentioning
confidence: 99%
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