What is a key activity included in the synthesis phase of the data lifecycle?

The synthesis phase of the data lifecycle focuses on combining, organizing, and making sense of data in order to extract meaningful insights and value. Creating calculated fields is an essential part of this process, as it involves deriving new data points from existing data through mathematical operations or functions. This activity helps in transforming raw data into more informative outputs, making it easier to analyze and interpret the data for decision-making purposes.

In this phase, synthesizing the data allows analysts to highlight trends, patterns, and relationships, providing a clearer understanding of the dataset. This step is crucial because it lays the groundwork for further analysis and visualization, ultimately informing actions based on the synthesized insights.