What's New > October 2026 > New features and enhancements
  

New features and enhancements

The October 2026 release includes the following new features and enhancements.

Filter related records with business entity record fields

When you manage related records that are based on business entity record fields in the related records table, you can filter the table to focus on the records that you want to view and edit.
The following image shows a related records table that filters for related records with Home Insurance Platinum as the value for the Product field:In the related records table, you apply a filter for records with Home Insurance Platinum as the value for the Product field.

Source records and workflow inbox management experience

The Source Records page and the workflow inbox include the following capabilities for filtering records and overriding survivorship:

Data Import

When you import records, you can update individual fields in a target record instead of replacing the entire record. The update applies only to the fields in the import file that are mapped to the target fields. Other fields remain unchanged. You can also control how the update handles empty values in mapped fields. When a mapped field is empty in the import file, you can overwrite the target value with null or leave it unchanged.
Note:
This functionality is available only after you migrate your rule associations to use Enrichment and Validation Orchestrator in organizations created before the October 2025 release.
For more information about updating fields containing data, see Import all data.

Default values

When you create a record, the business application populates default values for the fields that have default values configured. You can override the default values.

Tasks and tickets

You can view your tasks in the task inbox and the related tickets in the ticket manager.
Task inbox
You can use the task inbox to view all the tasks assigned to you.
You can perform the following actions in the task inbox:
The following image shows the task inbox: The task inbox for managing tasks. It features charts categorizing tasks by priority, event type, and due date. The Tasks by Workflows section lists workflow names with task counts, while the main table displays task names, record names, sorting options, and a search bar and icons for filtering and layout adjustments.
For more information about the task inbox, see View tickets in the ticket manager.
Ticket manager
You can track the status of your updates in the ticket manager. A ticket is created automatically when a workflow is triggered, and show workflow milestones, statuses of all the tasks in a workflow, and the comments as reviewers complete their tasks.
For example, a ticket for a product onboarding workflow lists all the tasks, such as validation of product name, brand name, and description, and approval or rejection of the product. The ticket is closed after the product is approved or rejected.
The following image shows the ticket manager:The image shows the Ticket Manager for viewing and tracking workflow tickets. It features a table listing tickets with columns for name, ticket ID, event type, workflow name, created date, and status. The right panel displays the selected ticket's summary, including creation date, status, workflow name, initiator, event type, and triggering event, along with a Task Details section showing completed tasks with timestamps.
For more information about the ticket manager, see View tickets in the ticket manager.
Note:
These features are being made generally available in phases. If they aren't available in your organization, contact Informatica Global Customer Support.

Dynamic field definitions

When you add dynamic field definitions to a record, you can select folders to add all the fields, field groups, and subfolders they contain at once.
For more information about dynamic field definitions, see Dynamic field definitions.

Search

To enhance search accuracy, MDM SaaS now returns more relevant results. When you search for records, you might notice changes in your search results. For example, a search for a record with the first name Benjamin also returns records with the first names Ben and Benny.

Match Analysis and Explainability dashboard

You can now use the Match Analysis and Explainability dashboard to analyze and identify large clusters of records that are formed during the match process. You can then fine-tune the match model configuration to prevent the formation of large clusters to avoid overmatching.
The following image shows the Large Clusters tab in the Match Analysis and Explainability dashboard:The Large Clusters tab of the Match Analysis and Explainability dashboard displays the Large Clusters Summary chart and a table that lists details of large clusters. The details listed in the table include cluster ID, total number of records in each cluster, top source systems contributing to the clusters, and the Directed AI match rules that formed them.
For more information about the Large Clusters tab in the Match Analysis and Explainability dashboard, see Large Clusters tab.