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Paper Type

ERF

Abstract

The current generation of Analytics and Business Intelligence (ABI) tools are easy to use and present relevant information in an elegant form. Their promise to “bring analytics to everyone in the company” would mean that the users creating visualizations and making decisions based on these visualizations may not have the training in data science to understand if they are drawing conclusions that are supported by the data. This study proposes to investigate the impact of cognitive biases and the Kruger-Dunning effect within the use of ABI tools on the resultant decision quality and the confidence the decision maker places in that decision.

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Aug 10th, 12:00 AM

Investigating Data Visualization Decision Errors: Do Tools Enable Users to Make Bad Decisions and more confidently?

The current generation of Analytics and Business Intelligence (ABI) tools are easy to use and present relevant information in an elegant form. Their promise to “bring analytics to everyone in the company” would mean that the users creating visualizations and making decisions based on these visualizations may not have the training in data science to understand if they are drawing conclusions that are supported by the data. This study proposes to investigate the impact of cognitive biases and the Kruger-Dunning effect within the use of ABI tools on the resultant decision quality and the confidence the decision maker places in that decision.

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