Upcoming features included in release plans: 3
Dynamics 365 Customer Insights - Data 2025 release wave 1
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Business Value
Your customer data grows constantly with rapidly changing signals like online activities and mobile interactions. As the data set grows, reprocessing of the data takes longer, slowing your ability to respond to changes, and providing increasingly stale insights. With native support for the Delta Lake data format in Customer Insights - Data, you can now accelerate the time to unify customer data by processing just the incremental changes to your data, allowing you to get results quicker and engage customers with the most up-to-date and timely insights.
Feature Details
One of the key values of the Delta Lake format is the ability to track changes over time to the data. With native support for the Delta Lake table format in Customer Insights, you can now take advantage of Delta Lake incremental data updates to accelerate processing in Customer Insights - Data.
It's typical for customer profile data to change only by a few percentages each day. Instead of reprocessing the entire data set every day, Customer Insights - Data can process just the changed source data for unification in the Delta format, saving time and getting you results faster. This improvement happens automatically when all the tables are in the Delta format. No configuration or change is required.
Incremental processing of segments, measures, activities, and predictions is planned to be added in the coming months.
Enabled for:
- In this release, incremental unification requires that all source tables included in the unification process use the Delta format. Tables ingested to Customer Insights - Data using the Delta Lake connector and the Dataverse connector will be in the Delta format.
Business Value
Change history | |
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Public preview date moved to Jun 2024 General availability date moved to Aug 2024 | Apr 22, 2024 |
Business Value
Customer Insights - Data now uses Virtual Network support for Power Platform to integrate Customer Insights - Data with resources inside your virtual network without exposing them over the public internet.
Feature Details
Virtual Network support uses Azure subnet delegation to manage outbound traffic from Power Platform at runtime. Using Azure subnet delegation avoids the need for protected resources to be available over the internet to integrate with Customer Insights - Data.
Customer Insights - Data uses Virtual Network support provided by Power Platform to securely configure Private Link connections to your Azure storage behind a firewall. Customer Insights - Data uses private links for three scenarios:
- Data input: Data sources are used to bring data from your Azure storage into Customer Insights - Data for processing.
- Data output: At setup, you can configure Customer Insights - Data to write all output to your Azure storage.
- Exports: You can configure exports to send specific tables to your Azure storage.
All new private links use Virtual Network support, and existing private links need to be updated.
More details on the platform support can be found at Virtual Network support overview.
Enabled for:
Business Value
Change history | |
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General availability date moved to Jul 2025 | Mar 21, 2025 |
Business Value
Improve the quality of your unified customer profiles and insights by filtering out unwanted rows from your source data directly in Customer Insights - Data. Removing old or incomplete rows that don’t provide value allows Customer Insights - Data to create higher quality insights in less time and saves having to filter out unwanted data in downstream processes.
Feature Details
A common challenge when working with customer source data is dealing with old and obsolete source data that is ingested with the data you do want. But preprocessing your source data takes additional time and effort.
Now, Customer Insights - Data allows you to apply row filters directly to any source table you ingest, reducing the data scope to just what you need. Filters are applied once on the Tables page where source tables are now displayed on their own tab separated from the output tables created by Customer Insights. Select the row filter link next to any table to simply set the desired filters.
To optimize processing speed, data is filtered in Spark when it's processed by the unification, segments, measures, activities, and models. The full, unfiltered data set is available when downloading it from from the Tables page.
Key values of this feature include:
- Improved processing time: By removing unwanted rows, the system no longer processes data that isn’t needed, which can reduce processing time.
- Improved output data: Removing unnecessary data from the output makes your data easier to use by consumers who will no longer need to exclude unwanted data.
Preview limitation The condition 'Is any of' {list of values} is supported for string data only.
Enabled for:
- The author created this article with assistance from AI. Learn more
Business Value
Change history | |
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Public preview date moved to Mar 2025 General availability date moved to Mar 2025 |
Dec 03, 2024 |