In which two use cases would a CRM Analytics consultant use Data Recipes?

Data Recipes are a powerful feature in CRM Analytics that allow users to manipulate and transform data effectively. In this context, the correct choice highlights a core function of Data Recipes, which is to perform transformations such as combining data from multiple datasets or connected objects.

This capability is essential for analysts who need to create comprehensive reports or insights by aggregating data from various sources. By using Data Recipes, a consultant can streamline the process of merging datasets, ensuring that analyses are based on a holistic view of the data rather than isolated data points.

The other options describe functionalities that are not primarily associated with Data Recipes. For instance, while bucketing data and adding formula fields are useful tasks, they do not encompass the broader transformational capabilities that Data Recipes specifically excel at. Similarly, translating columns based on user location or mass updating fields with a formula field, while important functions in data handling, do not represent the primary use cases for Data Recipes as they focus more on specific transformations rather than comprehensive data integration and manipulation.