In HR analytics, veracity specifically addresses which aspect?

In HR analytics, veracity specifically addresses which aspect?

• A. The quality of the data collected
• B. The speed of data collection
• C. The volume of data available
• D. The interpretability of models

Answer: (A)

Veracity in HR analytics is about the trustworthiness and accuracy of the data being used. In practice, this means ensuring the data collected for HR metrics—like turnover, engagement, performance, and compensation—are clean, complete, consistent, and reliable. If data quality is poor, analyses can be biased or misleading, leading to incorrect conclusions and decisions. The other aspects described—speed of data collection, the volume of data, and the interpretability of models—relate to data velocity, data quantity, and model explainability, not to how trustworthy or accurate the data are. Therefore, veracity specifically addresses the quality of the data collected.

Veracity in HR analytics is about the trustworthiness and accuracy of the data being used. In practice, this means ensuring the data collected for HR metrics—like turnover, engagement, performance, and compensation—are clean, complete, consistent, and reliable. If data quality is poor, analyses can be biased or misleading, leading to incorrect conclusions and decisions. The other aspects described—speed of data collection, the volume of data, and the interpretability of models—relate to data velocity, data quantity, and model explainability, not to how trustworthy or accurate the data are. Therefore, veracity specifically addresses the quality of the data collected.