Getting to Know the Enhancements and Features

SAP Customer Data Platform provides a comprehensive logging framework that enables administrators to identify, analyze, and resolve errors occurring across applications, events, and actions. The Error Logs view surfaces all captured issues, including detailed error payloads. Access to the Logs screen is restricted to administrators to ensure secure handling of operational data.

Now you can opt to include the payload of the logs to be shipped to the connected log provider. It provides increased observability and greater insight into the health of the system. ​

Data retention in SAP Customer Data Platform allows organizations to define rules for how long group data and related activities are stored. This supports compliance with privacy regulations and helps manage the lifecycle of customer and group information by enabling scheduled deletion based on configurable criteria.

The Data Retention functionality has been enhanced, so you can set up rules to delete groups and their activities after a set time period in accordance with privacy regulations.​

CX Flow Queues in SAP Customer Data Platform manage the execution of customer experience flows, allowing administrators to assign flows to different queues based on target system response times. This ensures efficient processing and resource allocation for real-time customer engagement scenarios.

SAP Customer Data Platform administrators can now assign CX flows to different execution queues tailored for different target system response times. In addition, there is a new monitoring panel that provides insights into each queue's performance and size. This ensures optimal utilization of resources and a smoother execution of your customer activations.

The Customer Dashboard provides a comprehensive overview of customer and group data, with customizable views and columns. Users can tailor the display to focus on relevant attributes, making it easier to analyze relationships and interactions within the business context.

In the customer view on the relationship tab, you can now choose which columns to display, and use the sort and search options.

The B2B Customer and Relationship View in SAP Customer Data Platform enables users to explore connections between entities, such as profiles and groups, and to navigate relationship details. This supports a holistic understanding of organizational structures and customer interactions.

In the customer view on the new relationship tab, you can now see all related entities of the current entity, together with their relationship attributes. You are able to see group to profile relationships as well as group to group relationships, check their relationship details, and navigate through the relationships. The new relationship tab replaces the group members tab.

Direct Data Access provides structured access to SAP Customer Data Platform data models, including profiles, groups, and activities, supporting advanced queries and analytics. It exposes relational views of SAP Customer Data Platform data, including support for primitive arrays in profiles and group relationships. This enables external applications to query and analyze structured customer data for advanced analytics and integration use cases.

Direct Data Access now exposes primitive arrays from the data models of profile and group relationships. See Sample Schemas and Queries.​

Exporting data to external systems in SAP Customer Data Platform supports arrays of primitive types within relationships, ensuring comprehensive data transfer for integration scenarios.

When you export data to external systems, arrays of primitive types that are part of relationships will now be included. See Exporting Data to External Systems.​

Business Areas in SAP Customer Data Platform allow segmentation of data and operations by logical units, such as regions or departments. Assigning groups to business areas ensures that users only access relevant data, supporting governance and targeted business processes.

Business areas are now available for groups. This allows the administrator to assign an area to a user, making sure groups and activities that are not assigned to that area are not presented.

Conditional mapping enables you to define logical conditions that control whether a mapping should be applied. You can apply conditions when mapping attributes in both event and action schemas.

When mapping a schema attribute to the target schema, you can apply conditions based on any root-level schema attribute. The applied conditions determine whether the data of the attribute to which you applied the condition is sent as part of the action or ingested as part of the event.

Conditional mapping is useful in scenarios where data should be sent as part of an action or ingested as part of an event only if certain conditions are met.

For example:

• you may only want to send or ingest address data (street, ZIP code, country) if all fields are present, to avoid incomplete records.
• you may want to send data only related to customers with a total orders amount above a certain threshold.
• you may only want to send or ingest data related to a certain attribute, only if another attribute in the schema has the value that you specify.

Now you can apply conditional mapping in events and actions. The mapping conditions can be applied to any root-level schema attribute in both event and action mapping. The applied conditions determine whether the data of the attribute to which you applied the condition is sent as part of the action or ingested as part of the event. This gives you greater control over data accuracy and relevance during data ingestion and activation, without requiring external processing or custom logic.

Condition builders in SAP Customer Data Platform provide a graphical interface for defining complex logic, including operators like 'between,' to filter or segment data. These tools help users target specific customer groups or behaviors for segmentation and activation.

Now you can use the between operator when applying conditions on attributes of the number, integer and date type. The new operator is available in the condition builders of segments, activity indicators, calculated indicators, CX flows, in the entry conditions for CX journeys and data retention. The new operator allows you to set a date or number range more easily, without having to use combinations of the before and after operators.​

The array selector allows for advanced filtering and mapping of array data structures, supporting complex AND/OR conditions. This feature gives users precise control over which elements are included in data processing and integrations.

When mapping an array to a single attribute, the array selector now supports complex AND/OR conditions in the Array Predicate option. This means you can now apply conditions on multiple attributes from the array in order to define which data should be included in the event or action. This allows more flexibility and gives you greater control over data mapping logic from your source to your target schemas.

Explorations in SAP Customer Data Platform enable users to build audiences and segments by filtering attributes. Value distribution previews help users understand attribute frequencies for informed segmentation decisions.

When building audiences and segments through explorations, you can now preview the available values for each attribute as well as how often each value occurs. You can then directly select one or multiple of these values as conditions. This preview is available for both profiles and groups, helping you to make informed decisions as to which values to keep in your audiences and segments.

Event metadata in SAP Customer Data Platform ensures accurate interpretation of timestamps and other contextual data, supporting proper ingestion and display of historical events.

The Microsoft JSON Date option is now available in the Timestamp Format selector when assigning metadata information to the relevant fields in the Event schema. This allows proper loading of historical data that uses Microsoft JSON dates and display of the original dates in the customer activity timeline.

Condition builders offer operators for defining multiple-value conditions, streamlining segmentation and activation logic across SAP Customer Data Platform features.

There are now two new operators in the condition builders of segments, activity indicators, calculated indicators, CX flows, CX journeys and data retention:

• equals one of: For primitive attributes
• includes one of: For array attributes

Profile and group metadata in SAP Customer Data Platform includes timestamps for first and last seen events, supporting advanced criteria building and activation strategies.

Metadata timestamps on profiles and groups are now available for data activation and building criteria.

Duplication functionality in SAP Customer Data Platform allows users to replicate configurations like segments, explorations, and flows, improving efficiency in managing insights and activations.

Now you can duplicate Segments, Explorations, Indicators, CX Flows and CX Journeys. For an example of the duplication option for segments, see Managing Segments.​

Configuration options in SAP Customer Data Platform support handling empty string values in conditions, ensuring accurate filtering and segmentation logic.

When using conditions for creating explorations, segments, CX flows, journeys and indicators, you can now check if a string attribute is an empty string, or if a string array includes an empty string.

Outbound data governance in SAP Customer Data Platform enforces strict handling of personally identifiable information (PII), ensuring compliance and secure data sharing with external systems.

When selecting schema attributes to include in an outbound processing purpose, attributes flagged as Personal Identifiable Information (PII) need to be manually selected individually and can no longer be selected collectively through their parent attribute. This ensures that PII data is treated with the necessary care when sharing data with external systems.

Integration with SAP Business Data Cloud enables SAP Customer Data Platform to enrich customer data with external datasets, supporting advanced analytics and personalized experiences.

Transformation logic in SAP Customer Data Platform supports handling null and empty string values, ensuring robust data processing during mappings.

When defining a transformation between strings, you can now designate an empty string or null value to transform to or from.​

Scheduled events in SAP Customer Data Platform include options for managing null values, providing flexibility in data ingestion and overwrite behavior.

Transformations in SAP Customer Data Platform allow converting coded values to human-readable labels, improving clarity in data mappings and activations.

For fields that are assigned code lists, it is now possible to apply a transformation that converts from code to label in mappings for events, actions, and enriching actions. See Transformations.​

The SAP Emarsys connector integrates campaign activity data with SAP Customer Data Platform, enabling unified customer engagement insights across platforms.

New capabilities are added to the SAP Emarsys connector, to enhance the integration between SAP Customer Data Platform and SAP Emarsys. The new capabilities enable the ingestion of customers mobile campaign activities through two new events: Get mobile push notification opened activity and Get mobile in-app notification clicked activity See SAP Emarsys.​

The SAP Customer Data Cloud connector ingests communication topic preferences into SAP Customer Data Platform, supporting personalized and consent-based customer interactions.