Tag: SAP Cloud ALM

SAP Cloud ALM continues to evolve with enhancements that improve data transformation, monitoring capabilities, landscape management, and operational visibility across the platform.

The Week 44 release introduces several improvements to SAP Business Transformation Center, including more flexible transformation cycles, enhanced data quality checks, database usage analysis, and improved migration scope management. RISE with SAP Methodology also introduces more relevant system filtering and updated Clean Core classifications.

Operations expands monitoring capabilities with detailed AI agent session metrics, dynamic thresholds for integration monitoring, SAP Web Dispatcher monitoring, and more flexible security validation checks.

Meanwhile, Implementation improves feature collaboration and workflow integration while expanding library documentation capabilities. Administration introduces greater control over cloud service imports, a new Product Packages overview, and enhanced system registration security.

Together, these updates provide greater flexibility, transparency, and control across SAP Cloud ALM.

SAP Business Transformation Center – Cycle and Monitoring, Data Management, Scoping

New Change Load Phase for Transformation Cycles

SAP Business Transformation Center introduces a new Change Load phase in the Manage Cycles app, providing additional flexibility when migrating data during transformation cycles.

The new phase allows users to migrate tables that were not included when the cycle was originally executed. This provides an additional opportunity to include missing tables without having to incorporate them into the original cycle execution.

As an optional phase, Change Load helps address additional migration requirements identified during the transformation process, providing greater flexibility in managing data migration scope.

TL;DR:

The new Change Load phase allows users to migrate tables that were not included in the original cycle execution, providing greater flexibility during transformation cycles-

Compare Data Quality Check Results with the Data Management Orchestration Agent

SAP Business Transformation Center expands its AI-assisted data management capabilities by introducing the ability to compare results from different quality-check runs using the Data Management Orchestration Agent.

Users can now compare two quality-check runs belonging to the same data assessment to identify differences in data quality between executions. This makes it easier to evaluate whether data quality has improved or whether issues remain after corrective activities.

By comparing assessment results, users can gain better visibility into data quality changes and track progress throughout data preparation activities.

Availability: This capability is currently part of SAP’s Early Adopter Care (EAC) program and is not yet available to users outside the program.

TL;DR:

The Data Management Orchestration Agent can now compare two quality-check runs from the same data assessment, helping users identify data quality changes. Currently available through SAP Early Adopter Care (EAC) only.

Enhanced Database Usage Analysis and Growth Forecasting

SAP Business Transformation Center introduces two new metrics in the Relevancy & Retention tab of the Manage Data Assessment app, providing deeper insights into SAP ECC database usage and future storage requirements.

The new DB Usage Analysis metric provides a detailed breakdown of database size and potential data reduction opportunities. Users can analyze database usage by Application Area, Document Type, and distribution dimensions, such as fiscal year or company code.

The metric also identifies potential archiving and deletion candidates, including information about complexity and retention periods. This helps organizations evaluate which data can be reduced or removed before migrating to SAP S/4HANA.

Additionally, the new Monthly Growth Statistics metric provides visibility into database growth trends over the previous 12 months, including total, used, and free database space.

Based on historical average growth rates, users can configure projections of future database size. Color-coded status indicators highlight when capacity-related actions may be recommended.

Together, these metrics support more informed decisions about data reduction, retention, and database capacity planning, helping organizations prepare their data landscape for SAP S/4HANA transformations.

TL;DR:

New DB Usage Analysis and Monthly Growth Statistics metrics provide insights into SAP ECC database usage, data reduction opportunities, and future storage requirements, supporting more effective transformation planning.

Targeted Data Quality Checks with the New Spotcheck Scope

SAP Business Transformation Center introduces a new Spotcheck scope type for data quality checks, allowing users to validate selected subsets of data instead of evaluating the entire KPI scope.

With Spotcheck, users can focus on specific business areas, such as a company code or fiscal year, to verify data quality improvements or investigate potential issues.

This targeted approach enables faster validation of corrective actions and helps identify data quality problems without requiring a complete KPI evaluation.

To support partial assessments, SAP also introduces a new Unknown data quality status, distinguishing results that have not been fully evaluated from those covered by complete KPI assessments.

Additionally, error counts, trend analysis, and quality indicators have been enhanced to correctly represent Spotcheck results while maintaining the context of previous full-scope evaluations.

These improvements provide greater flexibility in data quality management and support more focused validation activities throughout the transformation process.

TL;DR:

The new Spotcheck scope type enables targeted data quality checks for selected KPI data, supported by an Unknown status and improved reporting that distinguishes partial assessments from full evaluations.

Adjust Migration Scope for Auto-Confirmed Tables

SAP Business Transformation Center introduces additional flexibility in managing migration scope through the Select Scanned Tables app.

Users can now modify the scope of scanned tables with an Auto-confirmed status, allowing them to exclude tables containing data that is no longer required for the migration.

Previously, automatically confirmed tables offered less flexibility for scope adjustments. With this enhancement, users have greater control over which tables remain included in the transformation scope.

This helps organizations refine their migration scope as requirements evolve and avoid transferring unnecessary data to the target system.

TL;DR:

The Select Scanned Tables app now allows scope changes for Auto-confirmed tables, giving users greater control over which data is included in the migration.

RISE with SAP Methodology – Several Apps*, System View

Improved System Filtering in RISE with SAP Methodology

SAP Cloud ALM introduces updated filtering across the RISE with SAP Methodology dashboard, providing a more focused view of relevant systems.

Systems associated with inactive or obsolete Customer ERP IDs are now automatically excluded from all dashboard views. This ensures that the displayed information reflects systems linked to active Customer ERP IDs, reducing unnecessary entries and improving the clarity of system-related analysis.

As a result, users may notice changes in the systems available in selection dialogs compared to previous releases.

This enhancement improves data relevance and dashboard usability, helping users focus on the active systems in their landscape.

TL;DR:

RISE with SAP Methodology now automatically excludes systems linked to inactive or obsolete Customer ERP IDs, providing cleaner dashboard views and more relevant system selections.

Updated Clean Core Classification for SLT Interfaces

SAP Cloud ALM introduces an updated classification for SAP Landscape Transformation Replication Server (SLT) interfaces in the System View.

The SLT interface type has been reclassified from Level D to Level C in the Clean Core Compliance of Interfaces KPI card.

This adjustment reflects the widespread adoption of SLT across customer landscapes and aligns the classification with current usage patterns, following customer feedback and product expert review.

For organizations using SLT replication interfaces, the updated classification may result in improved Clean Core Compliance KPI results, providing a more representative assessment of their integration landscape.

The change affects how SLT interfaces are evaluated within the Clean Core compliance model and does not require changes to the interfaces themselves.

For further details on the classification model, refer to SAP Note 3690029.

TL;DR:

SLT interfaces are now classified as Level C instead of Level D in Clean Core Compliance of Interfaces, potentially improving compliance KPI results for systems using SLT replication.

Implementation – Features, Libraries,

Enhanced Feature Collaboration and Workflow API Integration

SAP Cloud ALM introduces new capabilities in the Features app, improving collaboration and extending workflow integration throughout the feature lifecycle.

Users can now add comments directly to features, providing a way to document discussions, share updates, and communicate relevant information within the feature itself. This helps project teams keep important context connected to development and deployment activities.

Additionally, the Workflow API integration has been extended to support four feature status transitions:

• Start Implementation

• Handover to Test

• Approve for Production

• Confirm Deployment

These additional transitions expand the possibilities for integrating feature lifecycle activities with external workflow processes, supporting more consistent coordination between implementation, testing, and deployment.

Together, these enhancements improve feature collaboration and workflow integration, helping teams manage feature-related activities more effectively.

TL;DR:

The Features app now supports comments and extends the Workflow API to four additional feature status transitions, improving collaboration and integration across the feature lifecycle.

Expanded and Reorganized Library Element Types

SAP Cloud ALM introduces improvements to Library element classification, providing a more structured way to document development objects, applications, and interfaces.

For Development elements, element types are now organized into four groups: General, Restful ABAP Programming, Cloud Application Programming, and Legacy. Several new element types have also been introduced, while existing values have been renamed to better reflect their purpose.

For example, BTP App/Extension is now called Extension, and Classes/Interface has been renamed to ABAP Class.

The Function Module and Custom Fiori Application element types have been deprecated. Existing elements using these types remain searchable, but new elements can no longer be created with these values.

For Application elements, a new AI Agent type is available, allowing AI agents to be documented as part of the application landscape.

Interface elements also receive a revised classification structure, with types organized into six groups: Data Replication, Integration, Legacy, Others, Process Integration, and Technology. Additional interface types have been introduced, and the existing File type has been renamed to General File.

These changes make it easier to classify and organize technical landscape elements while providing more consistent terminology across the Libraries application.

TL;DR:

Libraries introduces new and reorganized element types for Development, Application, and Interface elements, including a new AI Agent type and updated classifications for modern development and integration technologies.

Additional Interface Documentation Fields

SAP Cloud ALM enhances the Libraries app with four new fields for Interface elements, enabling more detailed documentation of integration characteristics.

The following fields are now available in the Interface element detail view:

• Usage Frequency: Describes how frequently an interface is used and the volume of interface calls.

• Usage Schedule: Specifies when data transfers occur or what triggers them.

• Data Flow Direction: Defines the direction of information exchange relative to the documented system.

• Execution Mode: Describes how communication between systems is technically handled.

These additional attributes provide a more complete description of interface behavior, helping teams better understand integration dependencies and data exchange patterns.

The enhanced documentation can also support integration landscape analysis, transformation planning, and technical assessments by making relevant interface characteristics easier to identify.

TL;DR:

Interface elements in Libraries now include Usage Frequency, Usage Schedule, Data Flow Direction, and Execution Mode, enabling more detailed documentation and analysis of system integrations.

Operations – AI Agent Monitoring, Configuration & Security Analysis – Validation, Health Monitoring, Integration & Exception Monitoring

Enhanced Session Monitoring with Detailed Session Metrics

SAP Cloud ALM expands its AI Agent Monitoring capabilities by introducing additional session metrics, providing greater visibility into AI agent execution and performance.

Users can now access Session Metrics directly in the Session Details view to analyze traces associated with individual sessions.

The available metrics include:

• Session Calls: Provides information about calls executed within a session.

• LLM Calls: Displays calls made to large language models during session execution.

• Agent Details: Provides information about the agent associated with individual trace spans.

• Total Time Spent: Shows the execution time of individual calls.

These metrics help users better understand how AI agents process requests, identify time-consuming operations, and investigate potential performance issues.

By providing more detailed execution information, this enhancement improves transparency and troubleshooting capabilities for monitored AI agents.

TL;DR:

AI Agent Monitoring now provides detailed Session Metrics, including session calls, LLM calls, agent details, and execution times, improving visibility into AI agent performance.

Exclude Systems and Services from Validation Checks

SAP Cloud ALM introduces a new Exceptions tab in Configuration & Security Analysis – Validation, providing greater flexibility when configuring validation checks.

Users can now exclude specific services, systems, or items from validation calculations by defining exceptions when creating or editing a check.

This allows organizations to account for situations where certain systems or configuration items should not be included in a particular validation assessment.

Checks containing exceptions are also identifiable within the Configuration & Security Analysis – Validation app, improving transparency into how validation results are calculated.

This enhancement supports more targeted validation configurations and helps ensure that check results reflect the intended monitoring scope.

TL;DR:

The new Exceptions tab in Configuration & Security Analysis – Validation lets users exclude specific services, systems, or items from validation calculations. Check results then reflect the intended monitoring scope.

SAP Web Dispatcher Monitoring Now Available in SAP Cloud ALM

SAP Cloud ALM expands its Health Monitoring capabilities with support for SAP Web Dispatcher, enabling centralized monitoring of Web Dispatcher instances alongside other SAP systems.

Users can now connect SAP Web Dispatcher to SAP Cloud ALM through SAP Host Agent and monitor its operational status and key health indicators directly in the Health Monitoring dashboard.

The integration allows organizations to include Web Dispatcher instances in their existing monitoring landscape, providing better visibility into the health of components responsible for routing and distributing incoming requests.

To enable monitoring, the following setup is required:

• SAP Host Agent version 722 PL72 or later must be installed.

• The Web Dispatcher instance must be registered using the SAP Cloud ALM service key.

• Registration is performed in the SAP Host Agent WebUI under Configuration → SAP Cloud ALM.

Once connected, Web Dispatcher health information becomes available in SAP Cloud ALM, supporting centralized operational monitoring and troubleshooting.

This enhancement extends monitoring coverage to an additional SAP infrastructure component, helping operations teams maintain a more complete view of their system landscape.

TL;DR:

SAP Web Dispatcher can now be monitored in SAP Cloud ALM Health Monitoring through SAP Host Agent, enabling centralized visibility into Web Dispatcher health and operational status.

Dynamic Thresholds for Message Processing Anomaly Detection

SAP Cloud ALM introduces Dynamic Thresholds for anomaly events in Integration & Exception Monitoring, enabling automatic threshold calculation based on historical message processing data.

Instead of relying exclusively on manually configured threshold values, users can now allow SAP Cloud ALM to calculate and periodically adjust thresholds based on historical message counts.

During each evaluation cycle, the current message count is compared against the calculated thresholds. When the message count exceeds or falls outside the expected range, SAP Cloud ALM identifies a potential anomaly and automatically triggers the configured event actions.

The new Threshold Preview section provides visibility into historical message counts and calculated thresholds, allowing users to review how threshold values change over time.

To activate this capability, users can select Dynamic as the Threshold Type in the Parameters section when configuring an anomaly event.

This enhancement helps monitoring configurations adapt to changing message processing patterns, reducing the need for manual threshold adjustments and supporting more effective anomaly detection.

TL;DR:

Integration & Exception Monitoring now supports Dynamic Thresholds for anomaly events, automatically calculating thresholds from historical message counts and triggering configured actions when potential anomalies are detected.

Administration – Landscape Management, Tenant Information

Selective Customer Number Import for Cloud Services

SAP Cloud ALM introduces greater control over cloud service imports in Landscape Management, allowing organizations to select which customer numbers should be included in their SAP Cloud ALM tenant.

For companies managing multiple subsidiaries under a Customer Center of Expertise (CCC), this enhancement helps prevent unnecessary cloud services from being imported.

During the initial S-user configuration, users can now select the customer numbers whose cloud services should be imported. The default SAP Cloud ALM customer number is always included, while additional selections can be managed through Configuration → Imported Customer Numbers.

The new overview provides color-coded status indicators to distinguish between:

• Green: Active customer numbers included in the import.

• Blue: Customer numbers belonging to the CCC but excluded from the import.

• Red: Obsolete customer numbers that are no longer accessible or part of the CCC.

When a customer number is deactivated, its associated cloud services are marked as Obsolete after the next import job and can subsequently be deleted.

SAP Cloud ALM also validates customer number access during daily import jobs. For existing tenants, previously imported customer numbers remain active by default.

This enhancement improves landscape organization and data relevance, particularly for organizations managing multiple SAP customer numbers.

TL;DR:

Landscape Management now supports selective cloud service imports by customer number, helping organizations control which services appear in SAP Cloud ALM and reducing unnecessary landscape entries.

New Product Packages Overview for Cloud Services

SAP Cloud ALM introduces a new Product Packages page in Landscape Management, providing a structured overview of SAP offerings that contain multiple applications and tenants.

The new page organizes imported product packages into a three-level hierarchy, aligned with the structure available in SAP for Me:

• Product Package: Represents the purchased package and displays the number of included solutions.

• Solution: Shows the individual products within a package, including service type, business type, and customer information. Users can also maintain solution display names and descriptions.

• Tenant: Displays the cloud services associated with each solution, including their status, service type, and source, with direct navigation to the corresponding details in Services & Systems.

Product packages and their associated solutions and tenants are imported automatically, eliminating the need for manual configuration.

Additionally, each level includes status event indicators that highlight the most severe active event, such as a disruption, degradation, or maintenance activity. Users can open these indicators to view the related event details.

Frequently accessed product packages and solutions can also be added to the Home page as favorites.

This enhancement improves visibility into complex SAP cloud landscapes by connecting commercial product structures with their associated technical services and operational status.

TL;DR:

The new Product Packages page provides a hierarchical overview of SAP product packages, solutions, and tenants, including automatic imports, operational status indicators, and quick access through favorites.

Enhanced Security Controls for Unknown System Registration

SAP Cloud ALM introduces additional security controls in Landscape Management to manage the registration of previously unknown systems.

By default, only systems already known to Landscape Management can register with an SAP Cloud ALM tenant. This helps prevent unintended registrations when a valid SAP Cloud ALM service key is used by a system that does not belong to the tenant’s managed landscape.

For scenarios where a new system needs to be connected, such as an on-premise ABAP system, administrators can temporarily enable the Allow Registration for unknown systems setting under Registration Settings.

Once enabled, the setting remains active for seven days and is automatically disabled afterward, limiting the period during which unknown systems can register.

Activating this option requires the Landscape Security Administrator role, ensuring that registration permissions are managed by authorized users.

This enhancement provides a balance between secure system onboarding and administrative flexibility, helping organizations control which systems can connect to their SAP Cloud ALM tenant.

TL;DR:

Landscape Management now restricts registration to known systems by default, with a seven-day temporary registration option for unknown systems available to users with the Landscape Security Administrator role.

Tenant Information App Replaced by Self-Monitoring

SAP Cloud ALM has removed the Tenant Information app, consolidating its monitoring capabilities within the Self-Monitoring app.

Users who previously relied on Tenant Information to monitor tenant-related metrics can now access the same information through Self-Monitoring.

This change simplifies the application landscape by providing a centralized location for monitoring SAP Cloud ALM tenant metrics, reducing the need to switch between separate applications.

For more information, refer to the SAP Self-Monitoring documentation.

TL;DR:

The Tenant Information app has been removed, and its monitoring metrics are now available in the Self-Monitoring app.

SAP Cloud ALM continues to evolve with enhancements that improve AI-assisted configuration, monitoring capabilities, project management, and usability across the platform.

The Week 42 release introduces several improvements to SAP Business Transformation Center, including more flexible data assessment management, enhanced transformation cycle tracking, and the ability to extend migration scope without modifying confirmed digital blueprints.

Operations expands monitoring capabilities with new business process KPIs, improved check management, and the new Joule-based Monitoring Configuration Agent, currently available through SAP Early Adopter Care.

Meanwhile, Implementation strengthens requirements management, introduces advanced quality gate capabilities, and improves system configuration, transport deployment, and authorization management.

Together, these updates provide greater flexibility, transparency, and efficiency across SAP Cloud ALM.

SAP Business Transformation Center – Data Management, Get Transformation Guidance, Modeling

Enhanced Run Management and Improved Data Assessment Efficiency

The Data Management area introduces several enhancements to the Manage Runs app, making data assessment runs easier to create, manage, and track.

Users can now copy existing runs and reuse AI-assisted scope recommendations, reducing the manual effort required to configure similar data assessments. This helps streamline repeated assessment activities while maintaining consistency across runs.

Additional improvements include activity logging, clearer run identification, and enhanced source report details that align more closely with the information stored in the source system. These changes make it easier to track activities and correlate runs across connected systems.

To prevent invalid executions, SAP Cloud ALM now also validates source endpoints and prevents the creation or execution of runs associated with deleted endpoints.

Run management is also improved with the ability to delete runs with Failed or Cancelled status. This allows users to remove obsolete or incomplete runs that are no longer required. Deleted runs are permanently removed and cannot be accessed again.

Together, these enhancements simplify data assessment management while improving transparency, consistency, and control throughout the process.

TL;DR:

Data Management now supports copying runs, reusing AI-assisted scope recommendations, and deleting failed or cancelled runs, alongside improved activity logging, run identification, and source endpoint validation.

Improved Cycle Visibility and Project Task Status Tracking

SAP Business Transformation Center introduces enhancements that improve cycle visibility and task status tracking across transformation projects.

In the Manage Transformation Projects app, users can now view all cycles associated with a specific transformation project through the new Associated Cycles tab. This provides a centralized overview of related cycles, making it easier to identify and track transformation activities within a project.

The Transformation Project Overview app also improves how cycle-related tasks are displayed in the Project Tasks dashboard. Task statuses now reflect the status of their associated cycles and transformation model version, providing a more accurate view of ongoing transformation activities.

When a cycle is cancelled, its related tasks are automatically marked as Not Relevant, helping prevent outdated or unnecessary tasks from appearing as active work.

Together, these improvements provide greater transparency into the relationship between transformation projects, cycles, and their associated tasks.

TL;DR:

Transformation projects now provide an Associated Cycles overview, while cycle-related tasks automatically reflect cycle and transformation model statuses, including marking tasks as Not Relevant when a cycle is cancelled.

Add Tables Directly to Transformation Models

SAP Business Transformation Center introduces greater flexibility in managing migration scope by allowing users to add tables directly to an existing transformation model, without modifying the confirmed digital blueprint.

In the Manage Transformation Models app, users can now create a custom transformation object by selecting Add Table in the Transformation Objects tab. This allows additional tables to be included in the migration scope, even after the digital blueprint has been confirmed.

When adding a table, users can define its write behavior, which determines how the data is written to the target system, and optionally assign a data category. SAP Business Transformation Center then automatically creates an active custom transformation object and assigns the relevant transformation rules based on the model configuration.

The new object can be managed like any other custom transformation object, while the associated table is also visible in the Transformation Tables tab.

This enhancement makes it easier to extend and adjust migration scope as additional data requirements are identified, without having to revisit or modify the confirmed digital blueprint.

TL;DR:

Users can now add tables directly to transformation models by creating custom transformation objects, allowing migration scope to be extended without changing the confirmed digital blueprint.

Implementation – Requirements, Quality Gates, Projects and Setup, Features, Deployment

Assign Approvers to Individual Requirements

SAP Cloud ALM introduces more flexibility in the Requirements app by allowing users to assign approvers directly to individual requirements.

A new Approver field is now available in the requirement detail view, enabling users to define who is responsible for approving a specific requirement. This provides clearer ownership and supports more structured requirement approval processes.

Additionally, an information button has been added to the Approval field, allowing users to view the latest change to the approval status. This improves transparency by making recent approval updates easier to track.

Together, these enhancements provide better visibility into approval responsibilities and status changes, supporting more effective requirement management.

TL;DR:

Requirements now support individual approver assignments and provide visibility into the latest approval status change, improving accountability and transparency in requirement management.

Advanced Checklists, Mass Editing, and Automated Quality Gate Assessments

SAP Cloud ALM introduces several enhancements to Quality Gates, providing more flexibility in managing project quality criteria, maintaining checklists, and assessing project readiness.

Users can now choose between standard and advanced checklists for their quality gates. Advanced checklists provide extended quality criteria that can be reviewed together with an Enterprise Architect, helping project teams evaluate whether the necessary requirements have been met before progressing to the next project phase.

Managing advanced checklists is also more efficient with new download, upload, and mass-editing capabilities. Users can export checklist items to spreadsheets for analysis, update multiple items at once, and upload the modified files to create new checklist items or update existing ones. This reduces repetitive manual work and simplifies the maintenance of larger checklists.

Additionally, project leads can now request a fully automated SAP Assessment Service for selected quality gates in the following SAP Activate roadmaps:

• SAP S/4HANA Cloud Public Edition (3-system landscape) – Implementation: Prepare and Explore Quality Gate Checklists.

• SAP SuccessFactors – Implementation: Prepare and Explore Quality Gate Checklists.

These automated assessments provide additional support for evaluating project readiness at key milestones.

Together, these enhancements improve quality gate management, checklist maintenance, and project readiness assessments, helping project teams manage quality criteria more consistently and efficiently.

TL;DR:

Quality Gates now support advanced checklists, spreadsheet-based mass editing, and automated SAP Assessment Services for selected SAP S/4HANA Cloud Public Edition and SAP SuccessFactors implementation roadmaps.

Improved System Group and Route Configuration

SAP Cloud ALM introduces additional guidance for configuring system groups in the Projects and Setup app, helping users define valid transport routes between assigned systems.

When maintaining system groups, SAP Cloud ALM now displays validation messages and route recommendations based on the systems assigned to the group. These recommendations help users identify suitable route configurations and avoid potential configuration errors.

This enhancement simplifies system group maintenance by providing clearer guidance during configuration, reducing manual checks and helping ensure that system routes are defined correctly.

TL;DR:

Projects and Setup now provides validation messages and route recommendations for system groups, helping users configure valid routes between assigned systems.

ATO Transport Deployment and New Role Templates

SAP Cloud ALM introduces new capabilities in the Features app, extending transport deployment functionality and providing more granular control over user authorizations.

Users can now deploy ATO (Adaptation Transport Organizer) transports directly from the Features app. This extends the existing transport management capabilities and allows teams to manage additional deployment activities within SAP Cloud ALM.

SAP also introduces new Features-specific role templates, enabling administrators to create custom role collections with more precisely defined permissions. These templates cover different responsibilities throughout the feature lifecycle, including:

• Development and feature management: Creating and editing features, managing transport assignments, and creating transports.

• Testing and production deployment: Deploying transports to test or production systems, performing transport checks, and reviewing results.

• Feature lifecycle management: Changing feature statuses, including In Implementation, In Testing, Successfully Tested, and Ready for Production.

• Additional activities: Releasing transports, confirming deployments, managing tasks, and controlling access to individual feature functions.

The new role templates help organizations separate responsibilities between developers, testers, change managers, and deployment managers, while granting users access only to the functions required for their roles.

Some permissions depend on additional role templates. SAP also recommends including the Project Viewer role collection when creating custom role collections to ensure appropriate access to project information.

Together, these enhancements provide more flexibility in transport deployment and support more structured authorization management throughout the feature lifecycle.

TL;DR:

The Features app now supports ATO transport deployment and introduces granular role templates for feature management, transport activities, testing, and deployment, enabling more precise control over user permissions.

Tags for Deployment Schedules

SAP Cloud ALM introduces the ability to assign tags to deployment schedules, providing additional flexibility in organizing and managing deployment activities.

Users can now categorize deployment schedules using tags, making it easier to distinguish between different deployment activities, project phases, or organizational requirements.

This enhancement supports more structured deployment planning, particularly when managing multiple deployment schedules across projects.

TL;DR:

Deployment schedules now support tags, helping users categorize and organize deployment activities more effectively.

Operations – Business Process Monitoring, Configuration & Security Analysis – Validation, Several apps*

New KPIs for SAP Batch Release Hub for Life Sciences

SAP Cloud ALM expands its Business Process Monitoring capabilities with three new KPIs for SAP Batch Release Hub for Life Sciences, providing additional visibility into release decision activities.

The new KPIs include:

• Completed Release Decision Items Awaiting Confirmation – Identifies completed release decision items that still require confirmation.

• Release Decision Items with Open Manual Activities – Highlights release decision items with outstanding manual activities.

• Release Decision Items Without Changes – Tracks release decision items where no changes have occurred.

These KPIs help users monitor release decision progress, identify outstanding activities, and gain better visibility into the batch release process.

The KPIs are activated automatically once the required setup steps in the SAP Cloud ALM Expert Portal have been completed. However, they are not included in the standard end-to-end processes. To use them in Business Process Monitoring, users must first create a custom process and assign the relevant KPIs.

This enhancement extends monitoring coverage for life sciences organizations and supports more transparent tracking of batch release activities.

TL;DR:

Business Process Monitoring introduces three new KPIs for SAP Batch Release Hub for Life Sciences, enabling better visibility into release decisions, pending confirmations, and open manual activities through custom process monitoring.

Copy Existing SAP and Custom Checks

SAP Cloud ALM introduces a new Copy option in Configuration & Security Analysis – Validation, making it easier to create checks based on existing configurations.

Users can now copy both SAP Checks and Custom Checks directly from the check details view. When copying a check, users only need to provide a new Check Name and a unique Check ID.

This enhancement simplifies the creation of similar checks by allowing users to reuse existing configurations instead of creating each check from scratch.

It is particularly useful when maintaining multiple checks with similar requirements, helping reduce repetitive configuration work and improve consistency.

TL;DR:

Configuration & Security Analysis – Validation now supports copying SAP Checks and Custom Checks, making it easier to create new checks based on existing configurations.

AI-Assisted Monitoring Configuration with Joule

SAP Cloud ALM introduces the new ALM Monitoring Configuration Agent, extending Joule capabilities to help users configure and maintain monitoring across their system landscape.

The agent can identify newly registered systems, detect monitoring configuration gaps and inconsistencies, and provide recommendations to improve monitoring coverage. Users can review these recommendations and ask Joule to apply monitoring configurations individually or in bulk, reducing manual setup effort.

The initial release supports monitoring configuration across several SAP Cloud ALM applications, including Integration & Exception Monitoring, Job & Automation Monitoring, Business Process Monitoring, Health Monitoring, Real User Monitoring, and Configuration & Security Analysis.

Depending on the monitoring application, Joule can help users:

• Enable or disable data collection across supported monitoring applications.

• Create custom business processes and assign supported KPIs in Business Process Monitoring.

• Propose business service bundles and support filter adjustments for Integration Monitoring.

• Enable change point detection in Real User Monitoring, where supported.

The agent also supports reviewing monitoring readiness and identifying configuration gaps before systems go live. However, the initial release has limitations: creating events and customizing thresholds are not yet supported.

Availability: The ALM Monitoring Configuration Agent is currently available only through SAP’s Early Adopter Care (EAC) program. It requires Joule and the agent to be activated, appropriate user roles, and systems configured in Landscape Management.

This enhancement introduces a more guided approach to monitoring configuration, helping users improve monitoring coverage and reduce repetitive configuration activities.

TL;DR:

The new ALM Monitoring Configuration Agent in Joule helps identify monitoring gaps, recommend configurations, and apply supported monitoring settings across multiple Operations applications. Currently available through SAP Early Adopter Care (EAC) only.

SAP Cloud ALM continues to evolve with enhancements that improve AI-assisted workflows, operational visibility, governance, and usability across the platform.

The Week 40 release enhances SAP Business Transformation Center with reduced downtime during transformation cycles, while Service expands Joule capabilities for creating recommendations from innovation insights.

Operations introduces standardized roles, improved alert history, and enhanced monitoring workflows. Meanwhile, Implementation expands Joule support for requirements and user stories and improves test authorizations, transport analysis, deployment, and process ownership.

Together, these updates provide greater automation, transparency, and control across SAP Cloud ALM.

SAP Business Transformation Center – Cycle and Monitoring

Reduced System Downtime During Transformation Cycles

SAP Business Transformation Center improves cycle execution by moving an important data preparation step from system downtime to system uptime.

The process of determining the relevant source system data records is now performed before the transformation phase begins, while the source system is still available. Previously, this processing took place during the downtime phase and could add significantly to the overall period in which the system needed to remain offline.

By completing this work in advance, the actual downtime required during a transformation cycle is reduced, helping minimize the business impact of transformation activities. The process runs automatically in the background and does not require any additional user interaction or configuration.

TL;DR:

Relevant source system data records are now determined during system uptime instead of downtime, reducing the overall system downtime required during transformation cycles.

Implementation – Requirements, Several Apps*, Analytics, Deployment, Process Hierarchy

Joule Agent for Requirements and User Stories

SAP Cloud ALM expands Joule capabilities with the new ALM Requirements and User Stories Agent, bringing AI-assisted interaction to requirements and user story management.

Users can use Joule to list and filter requirements and user stories, search for requirements using keywords, and update assignment information. The agent can also update user story statuses and support planning activities such as maintaining story points and assigning user stories to sprints and releases.

This provides a more conversational way to find and maintain requirements and user stories and can reduce the manual effort involved in common project management activities.

SAP notes that there may be a delay before the agent becomes available through SAP for Me.

TL;DR:

The new ALM Requirements and User Stories Agent enables Joule to search, filter, and update requirements and user stories, including statuses, assignments, story points, sprints, and releases.

New Tester Role for Test Management

SAP Cloud ALM introduces a new predefined Tester role designed specifically for users involved in test management activities.

The role provides testing-specific access to applications including Test Preparation, Test Plans, Test Execution, Defects, and Analytics, together with display access to relevant project information.

Authorization checks are applied in both the user interface and backend services, providing a consistent authorization model for testing activities. Existing roles and their authorizations remain unchanged by the introduction of the new role.

The dedicated role can simplify user administration by providing a predefined authorization profile for testers instead of requiring testing access to be assembled from broader roles.

TL;DR:

A new predefined Tester role provides dedicated access to SAP Cloud ALM test management applications while maintaining display access to relevant project information.

Retrofit Status in Transport Analysis

The Transport Analysis app expands its retrofit visibility by displaying the Retrofit Status of transport objects directly in the analysis results.

Retrofit status is now available as a table field and filter, allowing users to focus their analysis on transports with specific retrofit states. Results can also be grouped and sorted by Retrofit Status.

The information is additionally included in the Excel download, making the retrofit status available for offline analysis and reporting.

This provides a more complete view of transport and retrofit activities directly within Transport Analysis and makes it easier to identify transports that may require further attention.

TL;DR:

Retrofit Status is now available in Transport Analysis for filtering, grouping, sorting, and Excel export, providing greater visibility into retrofit activities.

System Role Information for Target Tenants

The Deployment app now displays the system role of target tenants when users select a target tenant.

Providing the system role directly during tenant selection gives users additional context about the target environment and helps distinguish between available systems before proceeding with deployment activities.

This small usability enhancement can help reduce ambiguity when landscapes contain multiple target tenants serving different purposes.

TL;DR:

Target tenant selection now displays the system role, making deployment targets easier to identify and distinguish.

Assign Owners to Process Hierarchy Nodes

Process Hierarchy introduces a new Node Owner capability, improving governance by making responsibility for individual process hierarchy nodes visible and maintainable.

A new Node Owner column is available in the Process Hierarchy Nodes list, while the node detail view displays the owner under General Information. The owner’s name is also clickable, providing access to additional information such as their email address.

Users with the appropriate authorization can assign or change the owner by searching for a user by name or email address. Each process hierarchy node can have one owner, and changes to ownership are recorded in the node’s History, providing traceability when responsibilities change.

The Node Owner column is not displayed for items under the Deleted Items tab.

TL;DR:

Each Process Hierarchy Node can now have a designated owner, with ownership visible in the list and detail views and changes recorded in History for improved governance and accountability.

Operations – Several Apps*, Alert & Event Management, Business Process Monitoring

Standardized Roles Across SAP Cloud ALM for Operations

SAP has introduced revised and standardized user roles across SAP Cloud ALM for Operations and Landscape Management to provide a more consistent authorization model.

The new roles apply across Business Process Monitoring, Business Service Management, Configuration & Security Analysis, Health Monitoring, Integration & Exception Monitoring, Job & Automation Monitoring, Landscape Management, Operations Automation, Real User Monitoring, Synthetic User Monitoring.

The previous roles are now marked with [Deprecated] but remain active during a transition period. Organizations should use this period to reassign users to the corresponding new roles to ensure that required authorizations remain available once the deprecated roles are eventually retired.

This is therefore an important change for SAP Cloud ALM administrators, as existing user and role assignments should be reviewed and migrated to the new role model in a timely manner.

TL;DR:

SAP introduces standardized roles across Operations and Landscape Management. Existing roles are deprecated but temporarily remain active, so users need to be reassigned to the new roles during the transition period.

Confirmed Alerts and Alert History

Alert & Event Management provides greater visibility into alerts that have already been processed by making Confirmed Alerts available in the Alert List.

Users can now review alerts after confirmation, including the confirmation comment that was entered when the alert was confirmed. This provides additional context about why an alert was closed or considered resolved.

For alerts that were confirmed and later reopened, the new Show Alert History option provides access to actions performed before confirmation. Users can further open the history to review the previous alert activities.

This improves traceability throughout the alert lifecycle and makes it easier to understand how an alert was previously handled when further investigation is required.

TL;DR:

Confirmed Alerts are now visible in the Alert List, including confirmation comments and historical actions for alerts that were later reopened.

Faster Access to KPI Event Configuration

Business Process Monitoring simplifies the process of adjusting event and threshold settings for monitored KPIs.

From a KPI card on the Monitoring page, users can now open the KPI information and select Edit Event Configuration to navigate directly to the corresponding Event Configuration section.

The direct link also provides faster access to the threshold recommendation functionality, reducing the number of navigation steps required when reviewing or adjusting KPI alert thresholds.

TL;DR:

KPI cards now provide direct access to Event Configuration and threshold recommendations, making monitoring configuration faster and easier.

Related Execution Steps for Jobs and Automations

Job & Automation Monitoring improves visibility into complex job executions with the new Show all related steps option.

For SAP Datasphere Chain and Unspecified HTTP Service jobs and automations, users can now view the related hierarchy of execution steps directly from the Monitoring page.

This provides greater visibility into nested tasks and individual execution steps, making it easier to understand the complete execution flow and identify where problems occurred within a multi-step job or automation.

TL;DR:

Job & Automation Monitoring can now display related and nested execution steps for SAP Datasphere Chain and Unspecified HTTP Service, providing a clearer view of the complete execution flow.

Service – AI Assistance for Innovation Adoption

Create Simplification Item Recommendations with Joule

The AI Assistance for Innovation Adoption app expands its Joule capabilities with AI-assisted recommendation creation directly from the Evolution Readiness dashboard.

Users can now use Joule to generate a draft recommendation for simplification items. Joule uses a predefined prompt to prepare the recommendation, reducing the manual effort required to formulate the initial content.

The generated recommendation remains under user control: it can be reviewed before being saved. Once confirmed, the recommendation is stored in Issues and Actions Management, connecting AI-assisted analysis with the existing process for tracking and managing follow-up activities.

TL;DR:

Joule can now generate draft recommendations for simplification items directly from the Evolution Readiness dashboard, which can be reviewed and saved to Issues and Actions Management.

SAP Cloud ALM continues to evolve with enhancements that improve AI-assisted monitoring, operational visibility, traceability, and usability across the platform.

The Week 38 release expands RISE with SAP Methodology with the new AI Assistance for Innovation Adoption app, while SAP Business Transformation Center improves troubleshooting and transformation model management. Service enhances issue and action processing, and Administration introduces new visibility into data collection health.

Implementation strengthens test management, transport handling, and job documentation, while Operations adds AI-assisted thresholds, dynamic monitoring capabilities, improved compliance checks, and broader service visibility.

Together, these updates provide greater automation, transparency, and efficiency across SAP Cloud ALM.

SAP Business Transformation Center – Data Management, Modeling

Enhanced Error Details for Failed Runs in Data Management

The Manage Runs app now provides more detailed error information when a run fails, making it easier to understand what caused an unsuccessful execution.

With the enhanced error handling, users can access additional error details directly for failed runs instead of relying only on the overall failure status. This provides more context for identifying the underlying problem and determining the appropriate corrective action.

The enhancement improves troubleshooting within Data Management and can help reduce the time required to analyze and resolve failed transformation activities.

TL;DR:

The Manage Runs app now provides enhanced error details for failed runs, making failure causes easier to identify and troubleshoot.

Restart All Transformation Model Activities at Once in Modeling

The Transformation Model Readiness tab introduces a new Restart button that simplifies restarting transformation model activities.

Instead of restarting activities individually, users can now use the new action to restart all transformation model activities at once. This provides a more efficient way to reprocess the model when activities need to be executed again.

The enhancement simplifies transformation model management, particularly when multiple readiness activities need to be restarted following changes or corrections.

TL;DR:

A new Restart button in Transformation Model Readiness allows users to restart all transformation model activities at once, simplifying reprocessing and model management.

RISE with SAP Methodology – Several Apps

New AI Assistance for Innovation Adoption App

AI Assistance for Innovation Adoption app is now available under RISE with SAP Methodology on the SAP Cloud ALM launchpad.

The app uses AI-assisted analysis to help organizations monitor, analyze, and identify improvement opportunities across their SAP landscape. The generated insights are presented through interactive dashboards, providing visibility into key performance indicators (KPIs), system insights, identified issues, and potential areas for improvement.

The app requires additional setup prerequisites before it can be enabled and displayed. The required configuration enables SAP Cloud ALM to extract the relevant data, generate insights, and provide automated recommendations.

TL;DR:

The AI Assistance for Innovation Adoption app is now available under the RISE with SAP Methodology page on the SAP Cloud ALM launchpad.

Implementation – Analytics, Documents, Features, Libraries, Test Execution, Test Preparation

Enhanced Test Execution and Defect Analysis

Analytics provides additional visibility into both defects and tester activities, making it easier to analyze testing progress and trace issues back to related features.

The Feature Traceability app now includes defects that are indirectly related to a feature through associated test executions and their test plans. Previously, the traceability view focused on direct relationships. Including these indirect relationships provides a more complete picture of defects connected to a feature and improves consistency across the Analytics apps.

A new By Tester view is also available in both the Test Execution Analysis app and the Test Execution card in Project Overview. Test executions can therefore be grouped and analyzed according to the responsible tester, providing another perspective for tracking testing activities and progress.

TL;DR:

Analytics now provides more complete defect traceability through indirect assignments and a new By Tester view for analyzing test executions by tester.

Integration Between Job Documents and Job & Automation Monitoring

SAP Cloud ALM introduces a stronger connection between Job Documents and Job & Automation Monitoring, providing direct traceability between implementation documentation and monitored jobs.

A new Job Monitoring relation table is available for documents of type Job Document. It shows the assigned jobs together with information such as job name, job type, service, and status. Multiple Job Monitoring IDs can be associated with a single Job Document.

The integration also works directly from Job & Automation Monitoring, where users can create a new Job Document, assign an existing document, or remove an assignment. SAP Cloud ALM automatically maintains the relationship in both directions.

This makes it easier to connect operational job monitoring with the corresponding implementation documentation and maintain those relationships consistently.

TL;DR:

Job Documents can now be directly linked with jobs in Job & Automation Monitoring, with bidirectional relation management between the two applications.

Create and Assign ATO Transports

The Features app expands transport management capabilities for SAP S/4HANA Cloud Public Edition by supporting the creation and assignment of modifiable Adaptation Transport Organizer (ATO) transports.

Users can now create ATO transports and assign existing modifiable transports directly as part of feature management. If recently created or changed transports are not visible in the assignment dialog, the transport information can be synchronized using the Refresh function.

The functionality requires transport management for SAP S/4HANA Cloud Public Edition with ATO to be configured beforehand.

This enhancement strengthens the connection between feature implementation and transport management, allowing the related development changes and transports to be managed more closely together.

TL;DR:

The Features app now supports creating and assigning modifiable ATO transports for SAP S/4HANA Cloud Public Edition, improving integration between feature and transport management.

Deletion Status for Related Process Hierarchy Nodes

The Libraries app improves transparency for relations between library elements and Process Hierarchy Nodes.

A new Deletion Status column is available for Process Hierarchy Nodes in the Relations tab of library elements. When a related node has been deleted in the Process Hierarchy app, it is clearly marked with the status Deleted.

This makes it easier to identify obsolete relationships and prevents users from assuming that a referenced process hierarchy node is still active.

TL;DR:

Library elements now show the deletion status of related Process Hierarchy Nodes, making obsolete relationships easier to identify.

Improved Automated Test Synchronization and Manual Defect Handling

The Test Execution app introduces changes to both automated test synchronization and defect handling for manual tests.

Open automated test runs are now synchronized automatically with connected test automation providers. SAP Cloud ALM periodically retrieves updated execution statuses and test results, reducing the need for users to manually refresh test runs. Manual refresh remains available when an immediate update is required.

For manual test cases, defect actions have been removed from the Test Execution overview. Defects for manual tests are now managed from the corresponding test run, keeping defect handling within the context of the actual manual execution. Defect actions in the overview remain available for automated test cases.

Together, these changes streamline test execution by reducing manual synchronization effort and providing clearer handling of defects for manual and automated testing.

TL;DR:

Automated test runs now synchronize their status and results automatically, while defects for manual test cases are managed directly within the corresponding test run.

Select All for Automated Test Case Imports in Test Preparation

Importing automated test cases into SAP Cloud ALM is simplified with a new Select All option in the automated test case import list. After applying the required filters, users can select all test cases returned by the current filter criteria in a single step, rather than selecting each test case individually.

The option is available when the filtered result contains 100 or fewer test cases, making bulk imports of smaller and targeted test case sets considerably easier.

TL;DR:

A new Select All option allows users to select up to 100 filtered automated test cases at once when importing test cases.

Operations – Business Process Monitoring, Business Service Management, Configuration & Security Analysis – Validation, Health Monitoring, Job & Automation Monitoring, Real User Monitoring

Enhanced KPI Analysis, Navigation, and AI-Assisted Thresholds

Business Process Monitoring introduces several enhancements that make KPI configuration, analysis, and navigation more flexible and efficient.

Navigation within the configuration area has been improved with support for direct links to specific subpages and subsections across Services / Systems, KPI Management, and Processes. Users can reuse the browser URL to return directly to a particular configuration location, making frequently used settings easier to access.

On the Monitoring page, users can now select one or multiple data points in a chart and choose Filter by Selection. The selected values are then used to filter both the chart and the related Documents table, providing a faster way to focus on specific monitoring data.

KPI visualization has also been expanded with percentage-based data. Custom KPIs can use Percentage as a data type, while KPI results can be displayed as pie charts with percentages, providing a more intuitive view of proportional monitoring data.

A significant addition is the introduction of AI-powered threshold recommendations. SAP Cloud ALM can analyze document volumes from the past seven days and recommend threshold values for KPI events. Recommendations can be reviewed before being accepted and are available when sufficient monitoring data exists. When filters are used, only fields configured as Group By influence the recommendation calculation.

Together, these improvements make Business Process Monitoring easier to navigate and analyze while introducing AI assistance for defining more data-informed monitoring thresholds.

TL;DR:

Business Process Monitoring adds direct configuration links, chart-based filtering, percentage KPIs and pie charts, and AI-powered threshold recommendations, improving both KPI analysis and monitoring configuration.

Expanded SAP Cloud ERP Public Service and Event Visibility

Business Service Management expands its integration with SAP Cloud ERP public, providing additional visibility into both business services and service degradation events.

Degradation Events detected by SAP for SAP Cloud ERP public are now displayed in the Event Calendar. Event Actions such as email notifications, chat notifications, and tickers can be configured for these events, allowing teams to be proactively informed about service degradation. Service Level Reporting and Service Level Objectives do not apply to these events.

In addition, Workforce Management integrations created as part of SAP Cloud ERP public are now represented as Business Services in Business Service Management. These services can be added to the monitoring scope and their events displayed in the Event Calendar. SAP-managed Status Events and SPC Events are supported, while Custom Events are not available.

TL;DR:

Business Service Management expands SAP Cloud ERP public visibility with Degradation Events in the Event Calendar and support for Workforce Management integrations as Business Services.

More Flexible Scoping and Date-Based Rules for Custom Checks

Configuration & Security Analysis introduces additional flexibility for defining Custom Checks, both in determining which service instances should be evaluated and in creating date-based validation logic.

A new Filter Rules section allows users to control which service instances are included in a Custom Check. A filter rule combines a data store, filter type, and filter values. Only service instances matching the configured criteria are validated, while the remaining instances are excluded from the check scope.

Validation rules also gain two new date-oriented operators: Less Than Days Ago and More Than Days Ahead. These can be used in compliance and non-compliance rules for date fields such as RELEASE_DATE and INITIAL_RELEASE_DATE.

Together, these enhancements allow Custom Checks to be targeted more precisely and make it easier to define compliance requirements based on the age of or time remaining until configuration-related dates.

TL;DR:

Custom Checks now support service-instance Filter Rules and new date-based validation operators, enabling more targeted and flexible compliance checks.

Dynamic Thresholds and New Document Management Service Metrics

Health Monitoring introduces enhancements that improve both adaptive performance monitoring and visibility into SAP Document Management Service (DMS) instances.

A major addition is Dynamic Thresholds, which automatically calculate performance thresholds based on historical data and trend analysis. Instead of relying only on manually configured static limits, Health Monitoring learns the normal behavior of a metric and can identify deviations that may indicate emerging performance issues. This can help reduce manual configuration and unnecessary alerts while making monitoring more responsive to actual system behavior.

Dynamic Thresholds require sufficient historical data for learning. The Quality column indicates the current state using four classifications:

• Predictive when the model is actively generating thresholds
• Static when metric behavior is too constant for reliable prediction
• Learning while additional data is being collected
• Insufficient when there is not enough suitable data for predictive modeling

Health Monitoring also expands coverage for Document Management Service with three new metrics: Active Repositories, Repositories Pending Permanent Deletion, and Total Storage Used. These provide visibility into repository availability, repositories awaiting permanent removal, and overall storage consumption within a DMS service instance.

Together, these enhancements provide more adaptive performance monitoring while expanding the range of SAP services that can be observed through Health Monitoring.

TL;DR:

Health Monitoring introduces Dynamic Thresholds based on historical metric behavior and new DMS metrics for active repositories, pending deletions, and storage usage, improving both proactive monitoring and service visibility.

Map Monitored Jobs and Automations to Job Documents

Job & Automation Monitoring introduces direct integration with Job Documents, strengthening the connection between operational monitoring and implementation documentation.

From the Job Definitions page, users can now assign or unassign a Job Document for a monitored job or automation. This allows the relevant job documentation to be accessed and managed directly in the context of the monitored object.

This complements the new Implementation Documents functionality introduced in the same release, where Job Documents display their associated monitored jobs and maintain the relationship in both directions.

TL;DR:

Monitored jobs and automations can now be mapped directly to Job Documents, providing better traceability between operational monitoring and job documentation.

Suppress Alerts for Predictable Seasonal Change Points

Real User Monitoring improves anomaly alerting by allowing users to suppress alerts for change points caused by predictable seasonal patterns.

Patterns such as weekly usage peaks or quarter-end spikes can naturally produce significant changes in monitored behavior without necessarily representing a problem. These known seasonal changes can now be suppressed so that they do not continuously generate unnecessary alerts.

This helps reduce alert noise and allows monitoring teams to focus more attention on unexpected deviations and anomalies that may require investigation.

TL;DR:

Real User Monitoring can now suppress alerts for predictable seasonal change points, reducing alert noise and keeping attention on unexpected anomalies.

Service – Issues and Actions Management

Enhanced Issue and Action Details Pages

The Issue and Action details pages receive several usability and workflow enhancements, allowing users to manage issues and standalone actions more efficiently from a single place.

Users can now navigate directly to the previous or next issue or standalone action from the details page. This makes it easier to review multiple items in sequence without returning to the Manage Issues or Manage Standalone Actions lists after each item.

Additional actions are also available directly from the details pages. Users can now create follow-up tasks or forward an issue or standalone action to an external system, such as Jira or ServiceNow, without navigating back to the corresponding list page.

A new Customer and Service Information tab provides additional context, including the customer’s go-live date and, where applicable, information about the assigned Service, Session, and Customer Contact. The tab also provides External Issue Tracking information, including links to the external system an item was forwarded to and associated follow-up tasks when available.

Together, these improvements make the details pages a more complete workspace for reviewing, navigating, and processing issues and actions.

TL;DR:

Issue and Action details pages now support previous/next navigation, follow-up task creation, forwarding to external systems, and additional customer, service, and external tracking information.

Administration – Self-Monitoring

New Data Collection Metric

The Self-Monitoring app introduces a new Data Collection metric, providing administrators with centralized visibility into the runtime data collection status of managed components across SAP Cloud ALM applications.

The new Data Collection card shows the overall data collection health of the tenant as a percentage, calculated based on the number of services with active data collection compared with all configured services. It also shows the number of services in Active and Error states and highlights the top five services based on runtime status and criticality. The view can be categorized by Service Type or Application.

For more detailed analysis, administrators can open the Data Collection Details view to see all configured services and their current collection status. The information includes the associated SAP Cloud ALM application, runtime status, monitored capabilities, and the service’s status over the last 30 minutes. Data collection history is available for the last three hours, helping determine whether collection problems are temporary or recurring.

The details view also provides Classic and Visual filters, with filtering options such as Service Name, Runtime Status, Application, and Service Type. This makes it easier to narrow down collection problems to a specific application, service, or type of managed component.

Overall, the new metric provides a dedicated starting point for identifying and investigating data collection issues before they affect monitoring visibility in SAP Cloud ALM.

TL;DR:

The new Data Collection metric provides an overview of data collection health and allows administrators to analyze individual collection instances and their status history.

​SAP Cloud ALM continues to evolve with enhancements that improve data quality, Clean Core transparency, project management, and operational monitoring across the platform. 

​The Week 36 release introduces the new Data Management Assistant in SAP Business Transformation Center, bringing AI-assisted quality checks to transformation activities. RISE with SAP Methodology harmonizes Clean Core object classifications and updates related extensibility KPIs, while Administration simplifies user management. 

​Implementation expands Joule capabilities for project setup and enhances deployment planning, document version management, and Libraries. Operations improves Business Process Monitoring and introduces more efficient bulk management of Custom Checks. 

​Together, these updates provide stronger automation, transparency, and control across transformation, implementation, and operational activities.​ 

SAP Business Transformation Center – Data Management 

AI-Assisted Quality Checks with the Data Management Assistant

SAP Business Transformation Center introduces the new Data Management Assistant, currently available through SAP Early Adopter Care, to support AI-assisted quality checks within Data Management. 

The assistant helps validate the completeness, correctness, and consistency of data and configurations before the transformation process continues. This allows potential quality issues to be identified earlier and reduces the manual effort required to analyze findings. 

When activated, the Data Management Assistant uses three specialized agents that work together throughout the quality assessment: 

• Scoping identifies the relevant data and configuration scope. 
• Evaluation analyzes the findings and assesses potential quality issues. 
• Prioritization evaluates identified issues based on their impact and urgency. 

By combining these capabilities, the Data Management Assistant provides a more structured approach to identifying and prioritizing data quality issues before they affect subsequent transformation activities. 

TL;DR: 

The new Data Management Assistant uses specialized AI agents to assess data quality, identify findings, and prioritize issues before transformation processes continue. 

Connectivity Status and Improved Validation for Data Assessments

Data assessments are enhanced with new connectivity information and validation capabilities that help ensure assessments are configured against valid and accessible source systems. 

When creating, editing, or reviewing a data assessment, users can now see the Connectivity Status of the selected source endpoint. This provides immediate visibility into whether the required connection is available before proceeding with assessment activities. 

Additional validation also prevents users from saving data assessments that reference source systems or endpoints that have been deleted from Landscape Management Service (LMS), helping avoid invalid configurations and potential execution problems. 

The Data Assessment detail page has also been reorganized to provide a clearer separation of general information and source-system details, making assessments easier to review and maintain.

TL;DR: 

Data assessments now show the connectivity status of source endpoints and prevent invalid references to deleted systems or endpoints, improving assessment reliability and usability. 

RISE with SAP Methodology – Customer Objects, System View

Harmonized Customer Object Classification

SAP has harmonized the types and number of customer objects classified as Clean Core relevant, providing more consistent object classifications and counts across the different data sources used by RISE with SAP Methodology. 

The Customer Objects table has also been reorganized with three new tabs to make it easier to analyze the system’s custom developments: 

• All – displays all customer objects. 
• Clean Core Relevant – focuses specifically on objects included in Clean Core evaluation. 
• With ATC Findings – shows customer objects for which associated ABAP Test Cockpit (ATC) findings exist. 

The harmonized classification is particularly important because the Clean Core relevant objects are also used for calculating extensibility-related KPIs in System View. As a result, customers may notice changes in their KPI values following this update. 

TL;DR: 

Customer object classifications have been harmonized across data sources, with new views for all objects, Clean Core relevant objects, and objects with ATC findings. 

Updated Extensibility KPIs Following Object Type Harmonization

The harmonization of Clean Core relevant customer objects also changes how several extensibility KPIs are calculated in System View. 

The adjustment affects the Technical Debt Score, Clean Core Share, and the individual Level A, B, C, and D Objects KPIs. Because the underlying object population and classifications have been standardized, the values displayed on these KPI cards may differ significantly from previously reported values. 

This is important when comparing current Clean Core results with historical values. A substantial change after the release does not necessarily indicate that the system’s custom developments suddenly changed; it may instead result from the updated object classification and calculation basis. 

For customers tracking Clean Core progress over time, this change should therefore be considered when interpreting KPI trends and comparing results before and after Week 36 release. 

TL;DR: 

The harmonized Clean Core object classification changes the calculation of key extensibility KPIs, meaning Technical Debt, Clean Core Share, and Level A–D object values may differ significantly from previous results. 

Implementation – Deployment, Documents, Libraries, Projects and Setup

More Flexible Deployment Planning

The Deployment app introduces two enhancements that provide more flexibility when planning and managing deployment activities. 

Deployment plans can now support multiple releases, allowing teams to associate more than one release with the same deployment plan. This is particularly useful when deployment activities span several releases or when related releases need to be coordinated within a common deployment plan.

In addition, a new Responsible field is available for deployment schedules. Teams can assign ownership directly to a deployment schedule, making responsibilities clearer and helping ensure that deployment activities are properly coordinated. 

Together, these enhancements improve both the flexibility and accountability of deployment planning in SAP Cloud ALM. 

TL;DR: 

The Deployment app now supports multiple releases per deployment plan and allows a responsible person to be assigned to deployment schedules, improving planning flexibility and ownership. 

Restore Previous Document Versions

The Documents app now makes it possible to restore the content of a previous document version directly from the version history. When viewing a historic version, users can select the new Restore Version action to revert the document to earlier content. 

The restore applies specifically to the document’s Content and Summary. Other information, such as relations, references, administrative data, and external files, remains unchanged and continues to reflect the latest state. 

If the document does not currently have an active version, for example because it is in Released status, SAP Cloud ALM automatically creates a new version containing the restored content and summary. 

There are also safeguards around the restore process. Restoration is not available while the active version is In Review, and users are warned if restoring a version would overwrite unsaved changes in an existing draft. 

This provides an undo-like capability for document content, making it easier to recover earlier information without manually recreating it. 

TL;DR: 

Documents can now be restored to the Content and Summary of a previous version directly from version history, providing a convenient way to recover earlier document content 

New Usage, Upgrade Impact, and Clean Core Fields for Library Elements

The Libraries app introduces additional fields for Application, Development, and Interface library elements, providing more information about their usage, upgrade impact, and Clean Core classification. 

The following fields are now available for all three library element types: Usage Status, Usage Number, Upgrade Impact, and Clean Core Level. Application library elements additionally receive a new Successor ID field, which can be used to identify a successor application. 

These fields can also be used as filters in library lists, making it easier to identify elements based on their usage or Clean Core characteristics. They are also supported when uploading library elements through spreadsheet templates, enabling efficient bulk maintenance. 

The enhancement provides additional context for assessing library elements, particularly when evaluating Clean Core alignment, upgrade impact, and application lifecycle considerations. 

TL;DR: 

Library elements now include new Usage Status, Usage Number, Upgrade Impact, and Clean Core Level fields, with additional Successor ID for applications, all available for filtering and spreadsheet uploads

Joule for Project Setup and Onboarding

SAP Cloud ALM expands Joule capabilities to support project setup and onboarding activities, allowing users to perform common project administration tasks through the AI-assisted experience. 

Joule can now help create projects and manage important elements of the project structure, including project teams, project leads, phases, sprints, milestones, and deployment landscapes. It can also support assigning projects to programs and managing project deliverables. 

In addition, users can use Joule to manage and update project statuses, further reducing the manual effort involved in maintaining project setup information. 

This enhancement brings AI-assisted interaction into a broader range of project administration activities, helping teams set up and maintain SAP Cloud ALM projects more efficiently. 

TL;DR: 

Joule can now assist with project creation and setup, including teams, project leads, phases, sprints, milestones, deployment landscapes, deliverables, program assignments, and project statuses. 

Operations – Configuration & Security Analysis – Validation, Business Process Monitoring

Bulk Upload for Custom Checks

The Configuration & Security Analysis – Validation app introduces a new upload capability that simplifies the creation of multiple Custom Checks. 

Instead of creating checks individually, users can now create up to 50 custom checks at once using the provided spreadsheet template. The new Upload option is available under Configuration à Checks à Custom Checks. 

This is particularly useful when establishing or extending a larger set of organization-specific compliance checks, reducing manual configuration effort and making bulk maintenance more efficient. 

TL;DR: 

Up to 50 Custom Checks can now be created at once using a spreadsheet upload, simplifying bulk configuration and maintenance of validation checks. 

Change Data Collection Status for Multiple KPIs

Business Process Monitoring makes it easier to manage KPI data collection for individual services and systems. 

From the configuration settings, users can now select multiple KPIs for a specific service or system and enable or disable their data collection together. Previously, managing collection settings across several KPIs could require more individual configuration effort. 

This provides greater flexibility when adjusting the monitoring scope, for example when certain KPIs are no longer required or when additional KPIs should be activated for an existing managed component. 

TL;DR: 

Data collection can now be enabled or disabled for multiple KPIs at once for a selected service or system, simplifying Business Process Monitoring configuration. 

Direct Navigation from Alerts to Filtered KPI Views

Alert investigation in Business Process Monitoring is improved with direct navigation from the Alerting page to the corresponding KPI data. 

When an open alert contains filters defined during event configuration, users can select the KPI name or KPI ID in the Alert Details. SAP Cloud ALM then opens the related KPI on the Monitoring page with the relevant filters already applied. 

This provides better context when investigating an alert and reduces the need to manually locate the KPI and recreate the same filter criteria before analyzing the underlying monitoring data. 

TL;DR: 

Users can now navigate directly from an alert to the related filtered KPI view, making alert investigation faster and more contextual. 

New KPIs for SAP Intelligent Clinical Supply Management

Business Process Monitoring expands its monitoring content for SAP Intelligent Clinical Supply Management with two new KPIs: 

• Approval Items Pending 
• Completed Studies with Overdue LSLV Date 

The KPIs are activated automatically once the required setup described in the SAP Expert Portal has been completed. 

These KPIs are not included in the standard end-to-end processes. To use them for monitoring, customers need to create a custom process and assign the new KPIs to it. 

The additional monitoring content provides organizations using SAP Intelligent Clinical Supply Management with greater visibility into pending approval activities and completed studies with overdue Last Subject Last Visit (LSLV) dates. 

TL;DR: 

Business Process Monitoring adds two new KPIs for SAP Intelligent Clinical Supply Management, covering pending approval items and completed studies with overdue LSLV dates. 

Administration – User Management

Table View Becomes the Standard for User Management

The Card View on the Users page of the User Management app has been discontinued. Going forward, users are managed exclusively through Table View. 

The Table View provides a more structured overview, particularly for environments with a large number of users. It also supports updating role assignments for multiple users at once, making bulk user administration more efficient. 

No configuration or migration is required. The Table View is already enabled and available automatically. 

TL;DR: 

The Card View has been discontinued, making Table View the standard for user management and providing more efficient bulk role assignment capabilities. 

SAP Cloud ALM continues to evolve with enhancements that improve transformation management, analytics, governance, and operational visibility across the platform.

The Week 34 release strengthens SAP Business Transformation Center with centralized cycle control, guided lifecycle actions, improved diagnostics, and enhanced data quality analysis. The Service area expands Issues and Actions Management with Joule-assisted analysis and more flexible filtering.

Operations introduces enhanced request analysis, more flexible security validation, and support for Product Package Solutions. Meanwhile, Implementation improves test analytics and traceability, feature testing, library management, and Retrofit processing.

Together, these updates provide greater control, visibility, and efficiency across transformation, implementation, service, and operational activities.

SAP Business Transformation Center – Cycle and Monitoring, Data Management

Manage Cycles as the Central Control Point for Cycle Execution

The Manage Cycles app is enhanced to become the single point of control for the complete cycle lifecycle, simplifying how transformation cycles are executed and monitored.

Users can now start each cycle phase directly from Manage Cycles, retry objects that encountered errors, and use a dedicated Sync Status option for each phase to retrieve the latest execution status. As a result, the Run Cycles and Postprocess Cycles apps are now focused on monitoring, while Transformation and Postprocessing phases are started centrally from Manage Cycles.

The app also provides more guidance throughout the cycle lifecycle. Recommended next actions are visually highlighted, while contextual tooltips help users understand which action should be performed based on the current cycle status.

Diagnostics handling has also been improved. When running diagnostics, users can select Refresh Status to retrieve the latest check status. Once diagnostics are completed, confirmation is displayed and detailed results can be reviewed in the Cycle Logs app.

Together, these enhancements centralize cycle execution, provide clearer guidance, and improve visibility into phase and diagnostic status throughout the transformation lifecycle.

TL;DR:

The Manage Cycles app is now the central point for executing and controlling the full cycle lifecycle, with guided next actions, phase status synchronization, improved diagnostics, and easier retry handling.

New Error Distribution Analysis for Data Quality

The Analyze Data Quality app is enhanced with a new Error Distribution table, providing greater transparency into where data quality issues occur.

For Finance KPIs, users can now analyze how errors from the latest Data Quality Check run are distributed across company codes and fiscal years. This provides an additional level of detail beyond the overall KPI results and makes it easier to identify where data quality problems are concentrated.

By providing a structured breakdown of errors, the new table helps teams focus their analysis and remediation efforts on the organizational units and time periods with the greatest number of data quality issues.

TL;DR:

The new Error Distribution table provides a breakdown of Finance data quality errors by company code and fiscal year, making it easier to identify and prioritize areas requiring remediation.

Implementation – Analytics, Features, Libraries, Retrofit

Enhanced Test Analytics and Traceability

Analytics receives several enhancements that improve test visibility, detailed analysis, and navigation between analytics and operational applications.

The Feature Traceability app now provides greater insight into the test readiness of individual features with new Test Preparation and Test Execution columns. Micro bar charts show the number and status of associated test cases and test executions directly in the traceability matrix. Users can select individual chart segments to review further details in the side panel and filter the analysis by Test Preparation, Test Execution, Test Plan, and Test Case type.

The Test Execution Analysis app also introduces a new responsive table in the Test Execution Distribution view, replacing the previous popover-based interaction. The table provides improved data visualization with sorting, grouping, and Excel download capabilities, making detailed test execution analysis more flexible.

Quality Gate analytics are also more actionable. Users can now select one or multiple quality gates directly from the reporting table and open them in the Quality Gates app for further review and management.

Together, these enhancements provide greater visibility into test readiness and execution while making it easier to move from analytics insights to detailed project activities.

TL;DR:

Analytics now provides test readiness and execution insights directly in Feature Traceability, improved Test Execution Analysis tables, and direct navigation from reporting to Quality Gates for more efficient test and quality management.

Enhanced Test Case Assignment and Tester Authorizations

The Features app is enhanced with more flexible test case assignment and simplified authorization requirements for testers.

Test cases can now be assigned to features while they are in the In Specification, In Implementation, or In Testing status. This allows testing activities to be prepared earlier in the feature lifecycle and improves the connection between feature development and test planning.

The role collection recommendation for testers has also been simplified. The Tester role template (imp_cdm_Tester) now only needs to be combined with the Project Viewer role collection to allow users to change a feature’s status to Successfully Tested.

Together, these enhancements make test preparation more flexible and simplify the authorization setup required for testers working with features.

TL;DR:

Test cases can now be assigned to features earlier in their lifecycle, while simplified Tester role requirements make it easier to manage successful test confirmation.

New Priority, Readiness, and Package Information for Library Elements

The Libraries is enhanced with additional fields that provide more information for managing and organizing library elements.

For Interface, Application, and Configuration library elements, the new Priority and Readiness fields are now available. Development library elements additionally receive a Package Name field alongside Priority and Readiness.

These fields can also be used as filters in library element lists, making it easier to identify elements based on their importance, implementation readiness, or development package. They are also supported when uploading library elements via spreadsheet, enabling more structured bulk maintenance.

This enhancement provides greater flexibility for organizing and prioritizing library content while improving visibility into the readiness of implementation artifacts.

TL;DR:

Library elements now include new Priority and Readiness information, while Development elements also support Package Name, with the fields available for filtering and spreadsheet uploads.

Sequence Dependency Processing for Automatic Retrofit

The Retrofit app is enhanced with support for sequence dependency processing, improving the handling of automatic retrofits involving multiple source transports.

Users can now perform automatic retrofit for multiple source transports within a selected subset while considering dependencies between the transports. This helps ensure that objects are processed in the correct sequence and reduces the risk of inconsistencies or downgrades during retrofit activities.

To use the functionality and prevent potential downgrades, SAP Note 3778082 must be implemented with ST-PI 740 SP33/34/35 or ST-PI 758 SP01/02.

This enhancement makes automatic retrofit processing more reliable when working with related transports that need to be handled in a specific sequence.

TL;DR:

Retrofit now supports sequence dependency processing for multiple source transports, helping ensure the correct processing order and reduce downgrade risks during automatic retrofit.

Operations – Real User Monitoring, Configuration & Security Analysis – Validation, Integration & Exception Monitoring

Filter and Group Requests by Application Component

Real User Monitoring is enhanced with support for the Application Component Hierarchy (ACH), providing more flexibility when analyzing requests across the landscape.

In the Requests view, users can now use application components to filter requests or group them as a dimension. This makes it easier to focus on requests associated with a specific application component and analyze their behavior without manually identifying individual requests.

The enhancement provides additional context for request analysis and helps teams investigate performance and usage patterns at the application component level.

TL;DR:

Real User Monitoring now supports filtering and grouping requests by application component, making it easier to analyze requests for specific components in the landscape.

HANA SQL Expressions for Custom Checks

Configuration & Security Analysis – Validation expands the flexibility of Custom Checks with a new HANA SQL Expression operator.

The new operator allows users to define compliance and non-compliance rules using HANA SQL expressions, enabling more advanced validation scenarios that go beyond standard comparison operators.

This provides organizations with greater flexibility when creating Custom Checks and allows validation logic to be tailored more precisely to specific configuration, security, and compliance requirements.

TL;DR:

Custom Checks now support HANA SQL Expression rules, enabling more flexible and advanced compliance and non-compliance validation.

New Product Package Solution Support

SAP Cloud ALM expands its monitoring capabilities with support for a new managed component type: Product Package Solution.

A Product Package Solution represents a set of related solutions that are provisioned together. Instead of monitoring each solution individually, users can now select and monitor the complete package as a single managed entity.

Product Package Solutions can be selected through the Managed Components filter when defining the monitoring scope. The new component type is currently supported in:

• Integration & Exception Monitoring
• Intelligent Event Processing

This enhancement simplifies monitoring for landscapes where multiple related solutions are delivered as a package and provides a more consolidated view of their operational status.

TL;DR:

Product Package Solution is now supported as a managed component type in Integration & Exception Monitoring and Intelligent Event Processing, allowing related solutions to be monitored and processed as a single entity.

Service – Issues and Actions Management

Filter Issues and Actions by Assigned Role

Issues and Actions Management introduces a new Assigned Role filter, providing more flexibility when identifying work items based on responsibilities.

Users can add the filter through Adapt Filters and select one or multiple standard roles to display only the relevant issues or standalone actions. The available roles are standard roles and are not specific to individual projects.

This enhancement makes it easier to focus on issues and actions associated with particular responsibilities, especially when working with larger lists of work items.

TL;DR:

A new Assigned Role filter allows users to filter issues and standalone actions by one or multiple standard roles, making it easier to focus on relevant responsibilities.

New Joule Capabilities for Issues and Actions

Joule with SAP Cloud ALM is now integrated with Issues and Actions Management, providing AI-assisted access to issue information directly through the Joule chat.

Users can ask Joule to generate summaries of issues by priority or status and refine the results using parameters such as Priority, Status, Creation Date, Due Date, Category, and Last Changed On. The generated summary can also be exported to a spreadsheet or opened directly in Issues and Actions Management for further analysis.

To use these capabilities, Joule with SAP Cloud ALM must first be activated through SAP for Me.

This enhancement provides a faster and more intuitive way to analyze issue data and identify relevant work items without manually configuring multiple filters and views.

TL;DR:

Joule with SAP Cloud ALM can now summarize and filter issues using natural language, with options to export the results or open them directly in Issues and Actions Management.

Enhanced Default Filters

The Manage Issues and Manage Standalone Actions pages now provide a cleaner starting view with fewer filters displayed by default.

Users can continue to customize their filtering experience through Adapt Filters, where additional filters can be added according to their needs. The sequence of columns in the table is also aligned with the order of the default filters, providing a more consistent layout.

This update simplifies the initial interface while retaining the flexibility to create more detailed filtering configurations when required.

TL;DR:

Manage Issues and Manage Standalone Actions now show fewer default filters, providing a cleaner interface while keeping additional filtering options available through Adapt Filters.