What is a common pitfall in data-driven decision making?

Focusing solely on quantitative data is indeed a common pitfall in data-driven decision making. While quantitative data provides valuable numerical insights, exclusively relying on it can lead to overlooking critical qualitative factors. Qualitative data can encompass human experiences, emotions, and contextual nuances that numbers alone cannot capture.

Effective decision making requires a comprehensive understanding of both quantitative and qualitative information. For example, while sales data might suggest a particular product is performing well, qualitative feedback from customers can reveal underlying issues that numbers may not reflect, such as customer satisfaction or product usability. Thus, integrating qualitative aspects is essential in forming a well-rounded perspective that drives more informed, effective decisions.

This pitfall illustrates the importance of a balanced approach, drawing from diverse data sources to inform decisions holistically.