Synthesizing data involves what process?

The process of synthesizing data involves contributing data from multiple sources. This approach allows for a more comprehensive understanding of a subject by integrating different perspectives, measurements, and data types, thereby creating a richer dataset for analysis. By combining information from various sources, researchers can identify patterns, themes, and insights that may not be visible when looking at data from a singular source. This holistic view is crucial in fields like human resources and analytics, where decision-making is often based on multifaceted data inputs.

In the context of HR technology and people analytics, utilizing data from multiple sources, such as employee surveys, performance metrics, and external labor market data, enhances the accuracy and reliability of insights generated, leading to more informed HR strategies and initiatives.