Which two use cases are considered a good fit for Data Cloud?

Northern Trail Outfitters wants to implement Data Cloud and has several use cases in mind.

Which two use cases are considered a good fit for Data Cloud? Choose 2 answers
A . To ingest and unify data from various sources to reconcile customer identity
B . To create and orchestrate cross-channel marketing messages
C . To use harmonized data to more accurately understand the customer and business impact
D . To eliminate the need for separate business intelligence and IT data management tools

View Answer

Answer: A, C

Explanation:

Data Cloud is a data platform that can help customers connect, prepare, harmonize, unify, query, analyze, and act on their data across various Salesforce and external sources.

Some of the use cases that are considered a good fit for Data Cloud are:

To ingest and unify data from various sources to reconcile customer identity. Data Cloud can help customers bring all their data, whether streaming or batch, into Salesforce and map it to a common data model. Data Cloud can also help customers resolve identities across different channels and sources and create unified profiles of their customers.

To use harmonized data to more accurately understand the customer and business impact. Data Cloud can help customers transform and cleanse their data before using it, and enrich it with calculated insights and related attributes. Data Cloud can also help customers create segments and audiences based on their data and activate them in any channel. Data Cloud can also help customers use AI to predict customer behavior and outcomes.

The other two options are not use cases that are considered a good fit for Data Cloud. Data Cloud does not provide features to create and orchestrate cross-channel marketing messages, as this is typically handled by other Salesforce solutions such as Marketing Cloud. Data Cloud also does not eliminate the need for separate business intelligence and IT data management tools, as it is designed to work with them and complement their capabilities.

Reference: Learn How Data Cloud Works

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