High quality data from employees is best defined as?

High quality data from employees is best defined as conformance to standards. This means that the data adheres to specific criteria and benchmarks established by the organization, ensuring accuracy, consistency, and reliability. When data conforms to these standards, it supports better decision-making and facilitates the analysis that organizations rely on to drive performance and strategy.

Conformance implies that the data is collected and processed consistently, reflecting true and objective information as intended. This is crucial in an organizational context, where the efficacy of data-driven decisions relies heavily on the integrity of the data itself.

While client satisfaction, timeliness, and adaptability are also important factors in data quality, they do not encapsulate the core essence of what constitutes high-quality data as precisely as adherence to established standards. Timeliness refers to how current the data is and its availability when needed, while adaptability emphasizes flexibility in usage across different contexts. Although these aspects contribute to the overall effectiveness of data, they stem from the foundational requirement of data conforming to quality standards.