Integrate insights faster by choosing tables and data format to sync
Important
Some of the functionality described in this release plan has not been released. Delivery timelines may change and projected functionality may not be released (see Microsoft policy). Learn more: What's new and planned
| Enabled for | Public preview | General availability |
|---|---|---|
| Admins, makers, marketers, or analysts, automatically | Aug 2025 | Nov 2025 |
Business value
Customer Insights - Data now provides more control over how you copy the unified profiles and insights generated by Customer Insights - Data into the private data lake you use to drive analytics and other business processes.
You can now easily select the specific Customer Insights - Data output entities you want to be copied to your data lake. This allows you to get just the data you want in the shortest possible time, saving you time and eliminating storage costs for tables you don’t use.
In addition, you can now choose what data format the data is written in. Landing the data in your preferred format eliminates delays and costs associated with transforming the data.
Feature details
Making your unified customer insights available to your organization from your own Azure Data Lake is now easier and more manageable. Customer Insights - Data allows you to simply check the tables you want to sync to your Azure Data Lake and to select the data format to write the data in. Choose from CSV, Parquet, or Delta Parquet formats. Each time Customer Insights - Data processes your data and updates your customer profiles and insights, the data is quickly and automatically synced to your Data Lake, getting your insights to your business consumers and downstream business processes faster and more efficiently. Settings can be updated, allowing you to change what tables you want synced.
Eliminating synchronization of the tables you don’t use means you get the data you’re focused on faster. It also means you can save storage costs by eliminating storage of tables you’re not interested in. Faster sync times, lower storage costs, and less data format ETL means your organization and analytics teams are more efficient and you realize more value from your investment in Customer Insights - Data.
Scenario
Northwind runs a daily analytics report using customer loyalty data generated by Customer Insights. They’ve recently switched to using a spark engine to compute these insights and need the loyalty segments and a loyalty score from Customer Insights in the Parquet format. Northwind data wranglers can easily enable this change with just a quick change in Customer Insights, eliminating the costly creation and maintenance of an entire data conversion pipeline process, saving time and compute costs and getting results faster.