What can be a result of focusing on unimportant data during analysis?

Focusing on unimportant data during analysis can lead to increased confusion because it distracts from the core issues and key insights that drive meaningful decision-making. When analysts sift through irrelevant or less significant information, it can create a muddled understanding of the actual situation. This can result in decision-makers drawing incorrect conclusions or making uninformed choices based on noise rather than actionable insights. Clarity is crucial in data-driven decision-making, and when the analysis is clouded by unimportant data, it tends to hinder the overall effectiveness of the decision-making process.