Value suggestion is a feature of Data Cloud that allows you to identify and select text attributes from a picklist of options. You can use value suggestion to standardize values across different data sources and improve data quality. References: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_value_suggestion.htm &type=5

The Source Sequence reconciliation rule allows you to sort your data sources in order of most to least preferred for inclusion in a unified profile9. For example, you can specify that data from Marketing Cloud should have higher priority than data from Service Cloud when selecting attributes such as first name or last name.

These three features can be used to validate the data in the unified profile object. Data Explorer allows you to view the ingested data from different sources and how it is mapped to the unified profile object. Query API allows you to query the unified profile object using SOQL or SQL queries. Profile Explorer allows you to view the unified profile records and their attributes. References: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_explorer.htm &type=5 https://help.salesforce.com/s/articleView?id=sf.c360_a_query_api.htm &type=5 https://help.salesforce.com/s/articleView?id=sf.c360_a_profile_explorer.htm &type=5

To pause a segment activation but with the intent of using that segment again, the administrator should stop the publish schedule for that segment. This will stop the segment from being refreshed and activated, but it will not delete or inactivate the segment. The administrator can resume the publish schedule at any time.

According to the Data Cloud documentation, segments can only be created on the Unified Individual entity, which represents the result of Identity Resolution. The other data model object categories, such as Profile, Engagement, and Other, are not available for segmentation.

The Ignore Empty Value option is a setting for reconciliation rules, which determine the logic for data selection in a unified profile7. If this option is enabled, empty fields are ignored when applying the reconciliation rule. For example, if the rule is to select the most frequent value, and one of the values is empty, it will not be counted as a frequency.

Reducing the number of matching rules can increase the consolidation rate for Identity Resolution, because it reduces the chances of finding multiple matches for the same individual. Matching rules tell Data Cloud which profiles to unify during the identity resolution process. If there are too many matching rules, Data Cloud might find more than one match for a given profile, resulting in a lower consolidation rate. References: Identity Resolution Match Rules

Identity Resolution creates three types of objects8:

• Unified Individual: This object represents the unified profile of an individual, which contains attributes from multiple sources.
• Unified Contact Point: This object represents the unified contact information of an individual, such as email, phone, address, or app.
• Unified Link: This object represents the link between an Individual object and a Unified Individual object, or between a Contact Point object and a Unified Contact Point object.

Party Identification Id is the only match criteria that is only available as custom in order to perform an exact match in Identity Resolution. Party Identification Id is a unique identifier for each Party Identification record in the data model. It is not one of the standard match criteria that Data Cloud provides out of the box, so it has to be created as a custom match criteria. Custom match criteria allow you to use any field from the data model as a match rule. References: Create Custom Match Criteria

The app details page shows the status of the app, such as active, inactive, or error. The tenant specific endpoint is a unique URL that is generated for each app and used to send data to Data Cloud from the web or mobile SDK. References: https://help.salesforce.com/s/articleView?id=sf.c360_a_web_mobile_app_connector.htm &type=5

You can modify the attribute names in the data model by editing the field label or API name of the corresponding field. This will change how the attribute name appears in the Cloud File Storage target. References: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_data_model.htm &type=5

The relationship between Individual and Contact Point Objects is 1: Many. This means that one Individual can have many Contact Points, such as email addresses, phone numbers, or postal addresses, but each Contact Point can only belong to one Individual. References: Data Model Overview

These two steps are required when configuring a Marketing Cloud activation. You need to select an activation target that represents a Marketing Cloud business unit and a contact point that represents a Marketing Cloud data extension. References: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_marketing_cloud.htm &type=5

When B2C Commerce Data Stream is created from the Order Bundle, 30 days of historical data is loaded. The Order Bundle is a preconfigured data bundle that contains order-related data from B2C Commerce Cloud. Data Stream is a feature that allows you to stream data from B2C Commerce Cloud to Data Cloud in near real time. References: B2C Commerce Data Stream

According to the Data Cloud documentation, when using two separate containers linked by an AND operator, the segment includes individuals who meet both conditions. In this case, the segment includes individuals who purchased at least one product with the color attribute equal to ‘red’, and also purchased at least one product with the primary product category attribute equal to ‘shoes’. The products do not have to be the same or in the same order line item.

These two features are impacted by the timezone setting in the org Data Cloud is provisioned in. The segment schedule determines how often a segment is refreshed based on the selected timezone. The activation schedule determines how often a segment is exported to an activation target based on the selected timezone. References: https://help.salesforce.com/s/articleView?id=sf.c360_a_segmentation_schedule.htm &type=5 https://help.salesforce.com/s/articleView?id=sf.c360_a_activation_schedule.htm &type=5

The data streams that use the Marketing Cloud Connector refresh data using Marketing Cloud’s Automation Studio. The Marketing Cloud Connector is a feature that allows you to stream data from Marketing Cloud to Data Cloud in near real time. The connector uses Automation Studio to schedule and run data extracts from Marketing Cloud data extensions and send them to Data Cloud via SFTP. You can configure the frequency and time of the data extracts in Automation Studio. References: Marketing Cloud Connector

This feature can help Northern Trail Outfitters calculate each customer’s lifetime value (LTV) and create breakdowns of the revenue sourced by different channels. Streaming data transformations allow you to transform and enrich streaming data from different sources using formulas and operators. References: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_streaming_data_transform.htm &type=5

Numeric is the only type of measures that support aggregate functions. Measures are numeric fields that can be aggregated using functions such as SUM, AVG, MIN, MAX, or COUNT. For example, you can use a measure to calculate the total revenue or the average order value from your data. Date, Text, and Boolean are not types of measures, but types of dimensions. Dimensions are fields that can be used to group or filter data, but not to perform calculations. References: Measures and Dimensions

 The sales order subject area defines the revenue or quantity for an opportunity by product family. It also includes information about the opportunity stage, close date, and owner. References: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_sales_order.htm &type=5

This feature can integrate in real time with Salesforce CRM. Data Actions allow you to perform actions on Salesforce CRM records based on Data Cloud data, such as creating, updating, or deleting records. References: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_actions.htm &type=5

These two features support the need to calculate each customer’s lifetime value (LTV) and create breakdowns of the revenue sourced by different channels. Calculated Insight allows you to create complex calculations based on stored data, such as LTV. Segment allows you to create audiences based on different criteria, such as revenue source. References: https://help.salesforce.com/s/articleView?id=sf.c360_a_calculated_insights.htm &type=5 https://help.salesforce.com/s/articleView?id=sf.c360_a_segmentation.htm &type=5

According to the Salesforce Data Cloud documentation1, the timezone used for Segmentation and Activation is the one set by the Salesforce Data Cloud org, not by the individual user or admin. This ensures consistency and accuracy across different users and regions.

Data Cloud’s primary value to customers is that it provides a platform that enables customers to create a unified view of a customer and their related data across different channels and systems, using the Customer 360 data model as the foundation. References: [Data Cloud Overview], [Customer 360 Data Model]