What does the Harmonize step in Data Cloud involve?

• A. Standardizing and cleaning data into a standard data model.
• B. Ingesting raw data from external sources
• C. Creating marketing segments
• D. Activating data to campaigns

Answer: (A)

Harmonize means bringing data from different sources into a single, clean, and consistent form by mapping everything to a common data model and resolving differences. This involves standardizing field names and data types, aligning units, deduplicating records, and ensuring all data conforms to the canonical schema so analytics and downstream processes can rely on accurate, comparable information. By cleaning and unifying data this way, you create a reliable golden view of the data that other steps can build on.

Ingesting raw data from external sources is about bringing data into the system, which happens before harmonization. Creating marketing segments focuses on dividing the data into groups for analysis or targeting, a downstream use after the data is harmonized. Activating data to campaigns is about using the harmonized data to run marketing actions, another downstream step after harmonization.