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Javiersd12New Member

Ability to Assign Admin Permissions to GroupsNew

Description:Our organization manages user permissions centrally through groups in Azure Active Directory (Azure AD). These groups are synchronized with Adobe Experience Cloud, allowing us to efficiently allocate product and profile permissions based on group membership. However, currently, administrative roles such as Product Administrator, Profile Administrator, Support Administrator, and System Administrator can only be assigned to individual users, not to groups. This creates a challenge for organizations that rely on group-based permission management and automation.Why is this feature important to you:Managing permissions at the group level ensures consistency, security, and scalability, especially in large organizations. Assigning admin roles to groups means that when a user is added to or removed from a group in Azure AD, their corresponding admin permissions in Adobe are automatically updated. This reduces manual intervention, minimizes human error, and helps maintain compliance with internal access management policies. Without this capability, we are forced to manually update admin roles for each user, which is inefficient and error-prone.How would you like the feature to work:We would like to be able to assign all administrative roles (Product Admin, Profile Admin, Support Admin, System Admin, etc.) to groups, not just individuals, within the Adobe Admin Console. When a user is added to or removed from a group in Azure AD, and that group is synced with Adobe, the user should automatically inherit or lose the corresponding admin rights based on their group membership. This approach should mirror how product/profile permissions are currently managed via groups.Current Behaviour:At present, administrative roles in Adobe Experience Cloud can only be assigned directly to individual users. Group-based assignment of these roles is not supported, which complicates permission management for organizations using directory group synchronization.

MichaelSMN
MichaelSMNLevel 4

Bulk User Assignments by Project & Program (+Workload Balancer for Program)New

Does your organization run programs with multiple projects?   Are your project managers responsible for managing large volumes of projects at the same time?   Are you looking for an efficiency win?     I think most organization will say yes and could really benefit from this idea.   Idea:   Implement the ability to quickly and easily assign users to roles at not only the project level, but also on the program level which would then cascade to all associated projects.  Add a Workload Balancer at the Program level with ability to do Bulk Assignments relative to the cumulative roles identified in the associated projects. How could this work?   Expose the Workload Balancer on a Program which would allow ability to assign/override any user on any given project for a selected role.   If a Project Manager assigned a user at the Project Level, this would then subsequently override the Program Level assignment; there could even be an indicator carried up to the program level that indicates multiple users or the values as well for a quick display if desired.   Current Experience Challenge:   Project Managers must either manually assign users task by task, or potentially through bulk edit through sifting throught tasks, or by going to the Workload Balancer for every project.    We commonly are running 10-15 projects or more and this requires a very significant amount of time every week to simply assign the same user. 

kwangmin11Adobe Employee

Cloud Manager : Enabling Rollback from Previous Build SnapshotsInvestigating

Request for Feature Enhancement (RFE) Summary: Cloud Manager Deployment: Enabling Rollback from Previous Build Snapshots Use-case: The customer is trying to roll back the deployment after a successful production deployment. Currently, the only way to roll back is to re-deploy the code in Cloud Manager, which takes 2 to 3 hours. Given that they are supporting 24 websites (with more to come in the future), they need to reduce the build time for any rollback operations. The best way to achieve this is to enable re-deployment using an earlier stable built image. Current/Experienced Behavior: The production deployment is completed. After the deployment, the customer discovered blocker issues on one of the 24 websites. They decided to roll back the deployment. They reverted the change that caused the issue and pushed the revised changes to Cloud Manager. They restarted the Stage/Prod build, which took 2 to 3 hours. The customer is trying to minimize this 2 to 3-hour downtime as much as possible. Improved/Expected Behavior: The production deployment is complete. After the deployment, the customer discovered blocker issues on one of the 24 websites. They wanted to roll back the deployment. They should be able to restart the Stage/Prod deployment using an earlier stable built image. Environment Details (AEM version/service pack, any other specifics if applicable): AEM as a Cloud (2024.4.16145.20240430T082417Z) Customer-name/Organization name: LG Electronics, Global HQ Korea 24 subsidiaries (UK,DE,PE,TR,JP,FR,SG,CO,SA,SA_EN,CA_FR,CA_EN,KZ,ID,IT,CL,TH,PT,IN,HK,HK_EN,BR ,MX ,PA) Screenshot (if applicable):   Code package (if applicable):  

AEP to have direct integration with DatabricksNew

Description:Enable a native integration between Adobe Experience Platform (AEP) and Databricks to allow seamless data exchange for advanced analytics, machine learning, and large-scale data processing.Why is this feature important to you:Databricks is widely used for data science, modeling, and big data workflows. Many organizations already use both AEP and Databricks but face challenges moving data between the two. A native integration would eliminate friction, reduce reliance on custom pipelines, and unlock more value from both platforms by enabling real-time insights, model scoring, and enrichment of profiles in AEP.How would you like the feature to work:Users should be able to configure a connection to a Databricks workspace directly from the AEP UI. They could export datasets from AEP to Databricks, run transformations or machine learning models, and then write enriched results (e.g., scores, segments, predictions) back to AEP. Ideally, this would support scheduled or triggered jobs and respect identity namespaces and schema alignment.Current Behaviour:Today, connecting AEP to Databricks requires custom ETL workflows, cloud storage intermediaries (like S3 or Azure Data Lake), or APIs. This adds complexity, latency, and cost, and often involves multiple teams. There’s no streamlined, supported connector between the two platforms, limiting agility for data science and activation use cases.

Pitching to introduce add flatfiles into adobe dashboard for adhoc analysis to understand correlation which will help better insightsNew

Description:Allow users to upload flat files (e.g., CSV or Excel) directly into Adobe Analytics for temporary, ad hoc correlation with existing data in Analysis Workspace.Why is this feature important to you:Often, analysts receive supplemental data from external sources — like media plans, call center reports, or offline survey results — that need to be compared with web or app behavior. Currently, there’s no easy way to integrate this data quickly for exploratory analysis. This feature would enable faster insights without relying on engineering or data ingestion processes.How would you like the feature to work:Users can drag and drop or upload a flat file directly into Workspace. They can map the file’s columns to existing Adobe dimensions (e.g., campaign ID, date, region), then use those fields like any other dimension or metric in visualizations. The join would be temporary and only available within that session or project, without affecting underlying data.Current Behaviour:Today, adding external data to Adobe Analytics requires a full ingestion process through Customer Journey Analytics, Data Sources, or back-end engineering support. This takes time and isn’t practical for fast, exploratory use cases. There's no native method to correlate external flat-file data directly within Workspace.