Inaccurate data

Some decisions and actions come from intuition - a person's ability to understand something immediately and without conscious reasoning. However, many require us to consciously collect and process information. For these situations, data accuracy is essential for users to achieve their goals and enjoy a positive experience. Presenting users with incorrect, incomplete, or inconsistent data can lead them to draw incorrect conclusions. When users are aware of the inaccuracy, it hinders the decision-making process and can cause them to lose trust in their ability to find the correct answer. Inaccurate data can arise from human error (such as data entry mistakes), insufficient processes (such as missing data quality policies), technical difficulties (like calculation or synchronization issues), or because the data is considered as "stale" (obsolete information). Inaccurate data is often associated with low user satisfaction, reduced efficiencies, and overall dissatisfaction.