Data that meets the basic needs for which it is used is considered:

Data that meets the basic needs for which it is used is regarded as high quality because high-quality data is characterized by its accuracy, reliability, relevance, and completeness. When data fulfills the specific requirements and functionalities expected by its users, it ensures that decisions made based on that data are well-informed and effective. High-quality data is essential for data-driven decision-making, as it supports the organization’s objectives and enhances operational effectiveness.

In the context of data analysis, high quality data leads to valid conclusions and actionable insights, thus facilitating better business strategy development and execution. The emphasis on quality reflects the idea that not just any data is useful, but rather data that is specifically tailored to meet the users' needs will contribute to effective results. This is a fundamental principle in the field of data management and analytics.