What's New in HCL CDP v26.1.0.IF02

In this release, we've introduced some new features and changes to some existing features or functionality.

What's New in HCL CDP v26.1.0.IF02

The following list includes the new features and changes to existing features:

CDP Integration with Canonical Data Model

HCL CDP can now run on the Canonical Data Model (CDM), a shared, standard data layer that is built around two views: Customer 360 for customer data and Campaign 360 for campaign data. CDP features read from these views instead of from source-specific tables, which provides one standard set of attribute definitions, simpler governance and auditing, and a consistent setup across industries. The integration includes the following capabilities:

  • Profile and identity sync: Customer profiles and master IDs are synchronized between CDP and CDM for new, known, and existing customers. The ID mapping retains the complete merge history, so earlier IDs continue to resolve to the current master ID. Real-time events are synchronized to CDM and can be sent to both a CDP tenant and a CDM tenant during migration.
  • Segmentation and export: Batch segmentation and real-time segmentation run on CDM data. You can store CDM data in Oracle, Microsoft SQL Server, MariaDB, or Snowflake, and each tenant can connect to its own CDM database.
  • Dashboards and analytics: The revenue, campaign, conversion, channel, and customer dashboards use CDM aggregated data. Funnel, Path, and Customer One View also work with CDM.
  • Setup and configuration: You can enter the CDM configuration when you create a tenant in the Admin UI, and select the profile properties and additional properties that are available to each user. New Profile Management screens let you enrich profile properties, add additional properties, and manage event properties. For more information, refer "Configuring CDM Tenants and Connections" in "HCL CDP Admin Guide".
CDP on Azure Kubernetes Service

You can now deploy CDP on Microsoft Azure Kubernetes Service (AKS), in addition to AWS and OpenShift. Core CDP capabilities have been tested on AKS, including:

  • Data ingestion and processing: Real-time and offline profile ingestion, event routing, and Flink processing pipelines.
  • Segmentation and analytics: Batch, Funnel, and real-time segmentation, along with Path, Funnel, Trends, dashboards, Customer One View, and Campaign Insights.
  • Platform services: Airflow 3 scheduling, Kafka PLAIN authentication, and Iceberg event destinations.
Apache Superset Integration

CDP now integrates with Apache Superset, an open-source business intelligence (BI) tool that you can use to analyze customer, campaign, journey, event, and AI insights. CDP continues to provide its predefined dashboards. With Superset, you can also build your own reports and visualizations and combine CDP data with other enterprise data, without exporting data manually or waiting for a report to be built, because Superset connects directly to governed CDP data. The integration includes the following capabilities:

  • Embedded dashboards: Superset dashboards appear within the CDP application, and access is secured with guest token authentication. You can restrict a dashboard to a single tenant by tagging the dashboard.
  • Dashboards on the Unica Platform home page: The Unica Platform uses the CDP Superset instance along with the existing Unica Superset instance, so that dashboards and reports from all products appear on the Unica Platform home page.
Publish Additional Attributes with Segments
When you publish a segment to Amazon S3, you can now select non-demographic attributes from CDP and include them with the customer or audience data. You can select columns from several source tables, and the columns are joined to demographics using a common customer identifier. Campaign teams can use the published attributes directly to personalize SMS, Email, Push Notification, and WhatsApp campaigns. The data no longer requires additional enrichment in Unica, which also simplifies campaign creation.
Delete Option for Segments
Segment Management now provides a Delete option along with Archive, Duplicate, and Refresh Count. You can permanently remove segments that you no longer need, such as one-time analysis or test segments, so that they no longer fill up the segment list or the archive. To prevent accidental removals, you can delete only the segments that you created. No user can delete a segment that another user created.

What's New in HCL CDP v26.1.0.IF1

No features were introduced in 26.1.0.IF1 version.

What's New in HCL CDP v26.1.0

The following list includes the new features and changes to existing features:

Prospect Activity Tracking and Identity Resolution

New integration protocols have been established to support prospect activity tracking.

Anonymous Activity Tracking: The system now captures behavioral data (page visits, clicks, downloads) through multiple sources and ingested into CDP via DIAPI for anonymous users.
Identity Resolution: Anonymous profiles are automatically merged with identified profiles once a user provides identifiable information, preserving their pre-authentication history.
Prospect Segmentation: Prospect segments can now be created in real-time based on behavioral and contextual attributes for immediate activation across marketing channels.
Temporary Profile Housekeeping: Optimize storage by cleaning up "New-To-Business" (NTB) profiles that remain idle and do not convert to a "Known-To-Business" (KTB) or "Existing-To-Business" (ETB) status.
Identity Graph: Enhances audit and governance by capturing the specific "transition event" when a profile moves between lifecycle stages (NTB, KTB, ETB). The system records the transition time-stamp and the trigger identifier for every lifecycle change, providing a transparent audit trail for compliance inquiries and enabling advanced analysis of the customer journey.

Refer to the Integrating HCL Discover with HCL CDP and Configure Discover Integration sections in HCL CDP User Guide.

Customer Experience Enhancements
Customer One View (COV) Redesign: A comprehensive UX redesign of the Customer One View has been implemented to provide a more intuitive and detailed profile management experience. Refer to the Customer One View section in HCL CDP User Guide.
Segment Central Unification: Unified requirements from CDP have been integrated into the Segment Central module for a more cohesive segmentation experience. Refer to the Create a Segment and Publish Batch Segment sections in HCL CDP User Guide.
CDP and Unica Platform Alignment
Navigation Restructure: The Unica+ left navigation menu has been streamlined to align product sub-menus and improve access to "Centrals" (Offer, Segment, Audience, and Contact Centrals).
ADFS SAML 2.0 Support: Integrated SAML 2.0 via ADFS to provide secure, enterprise-grade authentication for CDP users in Unica Platform.
Data Pipeline & Deployment Optimization
Near Real-Time Event Batching: Implemented high-frequency batching for events to ensure near real-time data availability and processing.
Flink Migration: The data processing pipeline is transitioning from NiFi to Apache Flink to improve scalability and throughput for large-scale data operations. Refer to the Deploying CDP Flink Manager section in HCL CDP AWS Platform Installation Guide.
OpenShift RTS: Segmentation capabilities have been fully enabled and verified for OpenShift environments. Refer to the Deploying CDP RTS MS section in HCL CDP Openshift Platform Installation Guide.
Java 17 Platform Upgrade
HCL CDP has been upgraded to Java 17 and Spring Framework 6.x. This upgrade improves application performance, security, and long-term supportability by aligning with the latest LTS runtime and framework versions.