In what order should processes be run to prepare newly imported data for segments?

The correct order to prepare newly imported data for segments involves first refreshing the data stream. This step ensures that all the latest data is actively available and updated in the system, preventing any discrepancies that could arise from outdated information.

Following that, identity resolution is performed. This process cleans and consolidates data to ensure that all records refer to the same entities correctly aligned in the system, thereby reducing duplication and improving the accuracy of the data set.

Lastly, calculated insights are derived. This involves analyzing the now-cleaned and updated data to extract actionable insights and measurements that are essential for segmenting the data effectively. By having a clear and accurate representation of identities before calculating insights, the results will be more reliable and meaningful for segmentation purposes.

The sequence highlights the logical flow of processing data, emphasizing the importance of foundation stages (like refreshing and resolving identities) before moving on to analysis and insights generation, which is crucial for effective segmentation strategies.