Cloud Kicks (CK) uses Service Cloud to manage its customer support, and its inventory and order data is stored in Snowflake. CK's customers use…

Data Cloud is the optimal solution as it is specifically designed to integrate and unify data from various sources without physical duplication. By using the zero-copy integration with Snowflake, Data Cloud can access order data in real-time. It then unifies this external data with existing CRM data in Salesforce to create a single, comprehensive customer profile. This provides support representatives with the actionable, real-time insights they need directly within the Service Cloud console, perfectly aligning with Cloud Kicks' requirements to avoid data duplication while enhancing the agent view.

A. An Apex integration creates a point-to-point solution. While it avoids data storage, it is less scalable and does not offer the deep data unification and insight-generation capabilities of Data Cloud.

B. This approach directly violates the core requirement to "avoid duplicating this data in Salesforce" by extracting and storing the order data in a custom object, creating data redundancy.

1. Salesforce Help & Training, Data Cloud, "Snowflake Data Sharing for Data Cloud": This document explicitly states, "With zero-ETL data sharing, you can access data from your Snowflake account inside Data Cloud without moving or duplicating data." This directly supports the "avoid duplicating data" requirement mentioned in the question.

2. Salesforce Help & Training, Data Cloud, "Data Unification with Data Cloud": This resource explains how Data Cloud uses identity resolution and unified profiles to "create a single, actionable view of your customer." This aligns with the need for a "comprehensive view" and "actionable insights" for support reps.

3. Salesforce Architects, "Salesforce Data Cloud Integration": The documentation for architects highlights Data Cloud's role in harmonizing data from external systems (like Snowflake) with CRM data to power real-time, personalized experiences in core clouds like Service Cloud. This reinforces its suitability for the described use case.