What feeling might poor-quality information generate in the decision-making process?

Poor-quality information can significantly undermine the decision-making process by leading to poor decisions. When decision-makers rely on inaccurate, incomplete, or misleading data, it can result in misguided conclusions and ineffective strategies. This is particularly critical in a business context, where decisions often have far-reaching implications for operations, finances, and overall strategy.

Having poor data can cause managers to misinterpret market trends, underestimate or overestimate risks, and allocate resources inappropriately. As a consequence, the decisions made based on flawed information may not address the actual needs of the organization or the market, leading to negative outcomes, such as financial losses or missed opportunities.

In contrast, the other options do not reflect the direct impact of poor-quality information on decision-making processes. While increased confidence (A) and team enthusiasm (D) might generally be positive aspects, they cannot be realistically achieved when decisions are made on the basis of unreliable data. Nullifying the need for strategic planning (B) also does not align with how critical data quality is for informed decision-making; instead, it emphasizes the importance of strategic planning guided by accurate information.