Start Date
11-8-2016
Description
Big data analysis is in high demand; however, little work has identified important critical thinking skills for big data analysts. Here we suggest these critical thinking skills include understanding the limits of measurement and representation, the challenges of the uniqueness of information, and of underdeterminism, and the difficulty of selecting an appropriate software tool. In addition to explaining these topics and their impacts on analysis, we provide example questions for each and suggested overall learning outcomes as well as need for further research.
Recommended Citation
McKinney, Earl and Niese, Bethany, "Big Data Critical Thinking Skills for Analysts—Learning to Ask the Right Questions" (2016). AMCIS 2016 Proceedings. 19.
https://aisel.aisnet.org/amcis2016/ISEdu/Presentations/19
Big Data Critical Thinking Skills for Analysts—Learning to Ask the Right Questions
Big data analysis is in high demand; however, little work has identified important critical thinking skills for big data analysts. Here we suggest these critical thinking skills include understanding the limits of measurement and representation, the challenges of the uniqueness of information, and of underdeterminism, and the difficulty of selecting an appropriate software tool. In addition to explaining these topics and their impacts on analysis, we provide example questions for each and suggested overall learning outcomes as well as need for further research.