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| Enabled for | Public preview | General availability |
|---|---|---|
| Users by admins, makers, or analysts | 
Jan 26, 2026 |
Mar 13, 2026 |
Business value
Organizations that manage large volumes of pricing rules across multiple environments rely on data entities for efficient configuration management. This feature enhancement improves the reliability, speed, and predictability of import and export jobs used for pricing rule configurations, environment migrations, and automated deployments. By refining the unified pricing management (UPM) data entity, businesses can reduce rework, prevent data inconsistencies, and streamline their lifecycle operations. These improvements directly support better governance, faster onboarding, and higher system stability in global operations.
Feature details
This update delivers a refined UPM pricing rule data entity that improves how organizations manage pricing configuration data through the data management framework (DMF) in finance and operations applications. These enhancements strengthen the entity's structure, mappings, and runtime execution behavior.
Key enhancements
- Clearer attribute semantics: Column definitions and metadata are now more consistent and descriptive, making it easier for users to understand pricing rule attributes, price components, and discount structures during import and export operations.
- Improved DMF mappings: Default mappings for staging and target tables are optimized, reducing manual adjustments and minimizing mapping-related failures.
- Enhanced data validation and error surfacing: High-volume imports now provide clearer error messages and improved staging validation, helping users quickly diagnose missing data, misconfigured rules, or incorrect references.
- Faster staging and target execution: Performance tuning in the staging pipeline enables faster execution of data projects and recurring data jobs, improving reliability during large-scale migrations.
This feature enhancement applies to all organizations using the DMF to manage pricing configurations. It's especially beneficial for the following scenarios:
- Pricing rule migration between environments.
- Bulk creation or updates of pricing rules.
- Integration scenarios using data entities.
- Configuration template setup for new implementations.
Geographic areas
Visit the Explore Feature Geography report for Microsoft Azure areas where this feature is planned or available.
Language availability
Visit the Explore Feature Language report for information on this feature's availability.