High-quality data is primarily aimed at achieving:

High-quality data is fundamental to making accurate decisions. When the data is reliable, relevant, and comprehensive, it allows decision-makers to draw sound conclusions based on factual information rather than assumptions or errors. Accurate decisions are crucial in any organization as they lead to effective strategies, optimized processes, and ultimately better performance.

While maximizing profits, decreasing workloads, and increasing customer satisfaction can be influenced by high-quality data, they are not the primary aim. Instead, they can be byproducts of having accurate data. For example, when decision-makers rely on accurate data, they can identify areas for cost savings or opportunities for improvement that may enhance profitability or customer satisfaction. However, the first step in achieving those outcomes lies in ensuring that the data used to inform decisions is of high quality, thus reinforcing the importance of accuracy in decision-making above all else.