| name | sap-sac-planning |
| description | SAP Analytics Cloud (SAC) planning guidance for planning models, planning-enabled stories, data actions, multi actions, version management, data locking, calendar/input workflows, allocations, value driver trees, BPC live planning, and Seamless Planning with SAP Datasphere. Use this for planning design, planning APIs, data action debugging, planning performance reviews, and authenticated SAC planning story triage in Microsoft Edge via CDP; use sap-sac-scripting for non-planning SAC scripts and sap-datasphere for Datasphere modeling.
|
| license | GPL-3.0 |
| metadata | {"maintainer":"Eduard Jiglau","maintainer_email":"hello@sap-ai-skills.com","website":"https://sap-ai-skills.com","version":"2.4.1","last_verified":"2026-06-11T00:00:00.000Z","sac_version":"2026.8","documentation_source":"https://help.sap.com/docs/SAP_ANALYTICS_CLOUD/00f68c2e08b941f081002fd3691d86a7","api_reference":"https://help.sap.com/doc/958d4c11261f42e992e8d01a4c0dde25/2026.8/en-US/index.html","reference_files":26,"status":"docs_audited_runtime_pending"} |
SAP Analytics Cloud Planning Skill
Related Skills
- sap-sac-scripting: Use for Analytics Designer/OSE scripts that automate planning interactions
- sap-datasphere: Use for Seamless Planning with Datasphere and data foundation design
- sap-sac-custom-widget: Use when planning applications include custom widgets
- sap-dependency-security: Use for source-pinned SAC MCP setup and local tooling trust
Comprehensive skill for building enterprise planning applications with SAP Analytics Cloud.
Reference Add-Ons (2026)
- Execution guides:
references/data-actions.md, references/multi-actions.md, references/allocations.md, references/scheduling-calendar.md, references/data-locking.md
- Modeling & governance:
references/modeling-basics.md, references/version-management.md, references/version-edit-modes.md, references/version-publishing-notes.md
- Calculations & intelligence:
references/advanced-formulas.md, references/predictive-conversion.md, references/ai-planning-analytics.md, references/api-snippets.md
- Workflow aids:
references/input-tasks.md, references/job-monitoring.md
- Browser triage: shared
sap-browser-automation for manual in-app authentication, approved Edge profile copying, fresh Edge/CDP setup, DevToolsActivePort fallback, and target selection; local references/edge-cdp-control.md retains planning writeback safety
- Added in 2025:
references/seamless-planning-datasphere.md, references/bpc-live-connection.md, references/value-driver-trees.md, references/data-action-tracing.md
- New in 2026:
references/whats-new-2026-planning.md
- Ready-to-use templates:
templates/data-action-checklist.md, templates/multi-action-checklist.md, templates/parameter-table.md
Use these to keep instructions concise in this file while deep-dives remain one click away.
For authenticated SAC planning browser inspection, use sap-browser-automation for the browser/authentication layer and load local references/edge-cdp-control.md for planning-specific boundaries. Use CDP for local read-only triage of planning tables, console errors, data action status, and approved screenshots; require explicit approval before any writeback, publish, data action, multi action, or lock-changing interaction.
Table of Contents
When to Use This Skill
Use this skill when working on tasks involving:
Planning Application Development:
- Creating planning-enabled stories with data entry
- Building analytics designer applications for planning
- Implementing input forms and planning tables
- Configuring planning models with Version and Date dimensions
- Setting up data sources for planning scenarios
Data Actions & Multi Actions:
- Creating data actions for copy, allocation, and calculations
- Building multi actions to orchestrate planning operations
- Configuring parameters (member, number, string, datetime types)
- Implementing embedded data actions
- Setting up API steps for external integrations
Version Management:
- Managing public and private versions
- Publishing workflows (Publish As, Publish Private Data)
- Sharing private versions with collaborators
- Version creation and deletion via API
Planning Workflows:
- Setting up calendar-based planning processes
- Creating general tasks, review tasks, and composite tasks
- Implementing multi-level approval workflows
- Configuring data locking tasks
- Managing task dependencies
JavaScript Planning APIs:
- Using getPlanning() API for data entry
- Working with PlanningModel API for master data
- Implementing DataSource API for filtering and querying
- Writing scripts for planning automation
- Handling version management via API
Data Entry & Allocation:
- Implementing spreading (to child members)
- Configuring distribution (between siblings)
- Setting up rule-based allocations
- Copy/paste operations in planning tables
- Using advanced formulas for calculations
Data Locking:
- Configuring data locking on models
- Setting up lock states (locked, restricted, open)
- Creating data locking tasks in calendar
- Implementing event-based data locking
- Integrating data locking in multi actions
Seamless Planning with Datasphere (2025):
- Planning models with Datasphere storage
- Cross-model planning with unified data
- Direct persistence to Datasphere
- Enterprise data governance for planning
BPC Live Connection:
- Planning with BPC Embedded on S/4HANA
- Running BPC planning sequences from SAC
- Master data planning via BPC
- Live data connection configuration
Value Driver Trees:
- Building business value chain visualizations
- What-if analysis and scenario simulation
- Driver-based planning
- Interactive planning dashboards
Data Action Debugging:
- Tracing data action execution
- Adding tracepoints for debugging
- Analyzing intermediate results
- Troubleshooting allocation issues
Quick Start
Creating a Planning-Enabled Story
-
Create Planning Model with required dimensions:
- Version dimension (required)
- Date dimension (required)
- Account dimension (recommended)
- Other business dimensions
-
Add Table Widget to story and link to planning model
-
Enable Planning on the table:
- Select table → Planning panel → Enable Planning
- Configure version selection (public or private)
-
Configure Data Entry:
- Set editable measures/accounts
- Configure spreading behavior
- Set up validation rules
Creating an Analytics Designer Planning Application
- Create Analytic Application (not Optimized Story)
- Add Planning Model as data source
- Add Table Widget and enable planning
- Write Scripts for:
- Version selection
- Data submission
- Custom validation
- Workflow triggers
Core Concepts
Model Types
Planning Model:
- Supports data write-back
- Requires Version and Date dimensions
- Enables spreading, distribution, allocation
- Supports data locking
- Used for budgeting, forecasting, planning
Analytic Model:
- Read-only (no write-back)
- No required dimensions
- Better performance for reporting
- Use when planning not needed
Version Management
Public Versions:
- Visible to all users with access
- Shared across the organization
- Require publish to update
Private Versions:
- Visible only to creator (unless shared)
- Used for simulation and what-if analysis
- Can be published to public or new version
Edit Mode:
- Temporary private copy when editing public version
- Changes visible only to editor until published
- Automatic validation on publish
Reference: See references/version-management.md for detailed workflows.
Planning API Overview
getPlanning() API - Table planning operations:
// Check if planning is enabled
var isEnabled = Table_1.getPlanning().isEnabled();
// Get public versions
var publicVersions = Table_1.getPlanning().getPublicVersions();
// Get private version
var privateVersion = Table_1.getPlanning().getPrivateVersion();
// Set user input (data entry)
Table_1.getPlanning().setUserInput(selection, value);
// Submit data changes
Table_1.getPlanning().submitData();
PlanningModel API - Master data operations:
// Get dimension members with properties
var members = PlanningModel_1.getMembers("CostCenter");
// Create new members
PlanningModel_1.createMembers("CostCenter", [
{id: "CC100", description: "Marketing"}
]);
// Update existing members
PlanningModel_1.updateMembers("CostCenter", [
{id: "CC100", description: "Marketing Dept"}
]);
// Delete members
PlanningModel_1.deleteMembers("CostCenter", ["CC100"]);
DataSource API - Filtering and querying:
// Set dimension filter
Table_1.getDataSource().setDimensionFilter("Version",
"[Version].[parentId].&[public.Actual]");
// Get members with booked values only
var members = Table_1.getDataSource().getMembers("Account",
{accessMode: MemberAccessMode.BookedValues});
// Remove filter
Table_1.getDataSource().removeDimensionFilter("Version");
Reference: See references/api-reference.md for complete API documentation.
Data Actions
Data actions perform calculations and data manipulation on planning models.
Step Types
| Step Type | Purpose |
|---|
| Copy | Move data between dimensions/versions |
| Advanced Formula | Complex calculations |
| Allocation | Rule-based distribution |
| Currency Conversion | Convert currencies |
| Embedded Data Action | Run another data action |
Creating a Copy Step
Source:
Version = Actual
Year = 2024
Target:
Version = Budget
Year = 2025
Mapping:
Account = Account (same)
CostCenter = CostCenter (same)
Advanced Formula Example
// Calculate forecast = Actual + (Budget - Actual) * 0.5
[Version].[Forecast] = [Version].[Actual] +
([Version].[Budget] - [Version].[Actual]) * 0.5
Parameters
Add parameters to make data actions reusable:
- Member Parameter: Select dimension member
- Number Parameter: Enter numeric value
- String Parameter: Enter text (2025+)
- Datetime Parameter: Select date/time (2025+)
Reference: See references/data-actions.md for complete configuration guide.
Multi Actions
Multi actions orchestrate multiple planning operations across models and versions.
Available Step Types
- Data Action Step: Run data action with parameters
- Version Management Step: Publish versions
- Predictive Step: Run forecasting scenarios
- Data Import Step: Import from SAP sources
- API Step: Call external HTTP APIs
- Data Locking Step: Lock/unlock data slices
- PaPM Step: Run Profitability and Performance Management
Example Multi Action Flow
1. Clean target version (Data Action)
2. Import actuals (Data Import)
3. Run forecast (Predictive)
4. Calculate allocations (Data Action)
5. Publish to public version (Version Management)
6. Lock published data (Data Locking)
Cross-Model Parameters
When using public dimensions, create cross-model parameters to share values across steps in different models.
Reference: See references/data-actions.md for multi action configuration.
S/4HANA ACDOCP Export
Legacy/deprecated path for exporting native planning data from SAC to SAP
S/4HANA's ACDOCP table (central ERP plan data storage). As of Q2 2026, SAP
deprecates exporting model data to SAP S/4HANA and recommends the write-back
integration scenario instead. Keep this section for maintaining existing
landscapes, not as the default design for new planning solutions.
Architecture
SAC Planning Model → Data Export Service → Cloud Connector → API_PLPACDOCPDATA_SRV → ACDOCP
Prerequisites
| Requirement | Details |
|---|
| Legacy Mode | Must be enabled on planning model |
| OData Service | Activate API_PLPACDOCPDATA_SRV in /IWFND/MAINT_SERVICE |
| Cloud Connector | Required for on-premise S/4HANA |
Required Dimensions for Export
- Version (Plan Category): Only public versions can be exported
- FiscalYearPeriod: Mandatory in export scope
- Measure: Only ONE target measure per export job
- G/L Account: Required for ACDOCP mapping
Export Behavior
- Exported data overwrites existing data within scope
- S/4HANA generates delta records for changes
- Deletions don't propagate: Set values to 0 and re-export to clear ACDOCP data
- Filters cannot be changed after export job creation—name jobs descriptively
Legacy Maintenance Checklist
Do not create this path for new implementations without confirming the
deprecation impact, SAP Note 3707288 guidance, and a supported migration path.
- Enable Legacy Mode on planning model
- Create S/4HANA connection with Cloud Connector
- Data Management → Create Data Export Job
- Map dimensions to ACDOCP fields
- Define export scope (FiscalYearPeriod + PlanningCategory mandatory)
- Schedule or run export
Reference: See references/s4hana-acdocp-export.md for legacy configuration details and references/whats-new-2026-planning.md for the Q2 2026 deprecation note.
Seamless Planning with Datasphere
Seamless Planning unifies SAC planning with SAP Datasphere, enabling enterprise-grade storage and governance for plan data.
Architecture Overview
SAC (Planning Logic & UX) ──Direct Persistence──► Datasphere (Data Storage & Governance)
What stays in SAC: Planning calculations, version management, data actions, calendar workflows
What moves to Datasphere: Fact data, public dimensions, physical storage, data governance
Key Benefits
| Benefit | Description |
|---|
| Unified Data | Centralized storage ensures consistency |
| Direct Persistence | Changes in SAC instantly reflect in Datasphere |
| Optimized Resources | Reduces SAC memory and storage footprint |
| Enterprise Reusability | Datasphere modeling extends to planning data |
Prerequisites
- SAC tenant on SAP HANA Cloud - Verify in System → About
- Co-located tenants - Same SAP data center region
- 1:1 tenant linkage - One SAC tenant to one Datasphere tenant
- Consistent IdP - Same SAML identity provider
- Datasphere space roles - DW Modeler, DW Integrator, or DW Space Administrator
Quick Setup
- Create new Planning Model
- Select SAP Datasphere Space as Data Storage Location
- Configure dimensions (public dimensions stored in Datasphere)
- Enable Expose to Datasphere in Model Details
- Plan normally in SAC - changes persist automatically
Cross-Model Planning
All models for cross-model operations (data actions, multi actions) must be in the same Datasphere space.
Reference: See references/seamless-planning-datasphere.md for detailed architecture, configuration, and troubleshooting.
BPC Live Connection
SAC supports live data connections to BPC Embedded on S/4HANA, enabling planning with the BPC engine while using SAC's modern interface.
Supported BPC Versions
| Version | Planning Support |
|---|
| BPC Embedded (S/4HANA) | Full planning features |
| BPC for NetWeaver | Limited (read-only) |
| BPC Standard | Export to BPC required |
Planning Features via BPC Live
- Data Entry: Direct input to BPC models
- Planning Sequences: Execute FOX scripts from SAC
- Version Management: BPC-controlled categories
- Master Data Planning: Update dimension properties
- Data Locking: BPC locks integration
Running BPC Planning Sequences
// Execute BPC planning sequence
PlanningSequence_1.setParameterValue("FISCAL_YEAR", "2025");
PlanningSequence_1.setParameterValue("VERSION", "PLAN");
PlanningSequence_1.execute().then(function() {
Table_1.getDataSource().refreshData();
});
When to Use BPC Live vs Native SAC
Use BPC Live when: Existing BPC investment, complex FOX scripts, integrated with BW reporting
Use Native SAC when: New implementation, simpler requirements, mobile-first applications
Reference: See references/bpc-live-connection.md for setup, prerequisites, and troubleshooting.
Value Driver Trees
Value Driver Trees (VDT) visualize how values flow through a planning model, enabling driver-based planning and what-if analysis.
Use Cases
| Scenario | Example |
|---|
| Driver-Based Planning | Model how prices, headcount impact revenue |
| What-If Analysis | Simulate scenarios, see cascading effects |
| Strategic Planning | Visualize value chain impacts |
| Executive Presentations | Touchscreen-friendly boardroom displays |
Creating a Value Driver Tree
- Add Value Driver Tree widget to story or application
- Select planning model with Date dimension
- Add nodes (auto-create from model or manual)
- Configure measures and structures per node
- Link nodes (drivers right, outcomes left)
- Set presentation date range
Node Configuration
| Setup | Description |
|---|
| 1 Account + 1 Structure | Single row of values |
| Multiple Accounts | Row per account (e.g., sales + quantity) |
| Multiple Structures | Compare scenarios/currencies |
JavaScript API
// Get VDT reference
var vdt = ValueDriverTree_1;
// Get selected node value
var value = vdt.getSelectedNode().getValue("Revenue", "2025Q1");
// Collapse/expand nodes
vdt.collapseNode("Node_Revenue");
vdt.expandNode("Node_Revenue");
Reference: See references/value-driver-trees.md for detailed setup and best practices.
Data Action Tracing
Data Action Tracing is a debugging tool for inspecting intermediate results during data action execution.
When to Use Tracing
| Scenario | How Tracing Helps |
|---|
| New Development | Validate each step produces expected results |
| Debugging Failures | Identify which step causes incorrect data |
| Performance Investigation | See which steps process most data |
| Allocation Debugging | Validate driver ratios and distributions |
Adding Tracepoints
- Open data action in Data Action Designer
- Navigate to step where you want to trace
- Click Add Tracepoint (or right-click → Add Tracepoint)
- Name descriptively (e.g., "After Copy Step", "Before Allocation")
Running Trace Mode
- Open data action in designer
- Click Run with Tracing
- Set required parameters
- Execute - data captured at each tracepoint
- Review results in Tracing Results Panel
Analyzing Results
| View | Description |
|---|
| Data at Tracepoint | All values at that point |
| Changes Since Previous | Delta between tracepoints |
| Filtered View | Focus on specific data |
TRACE() in Advanced Formulas
// Add tracepoints in script
[Revenue] = [Quantity] * [Price]
TRACE("After_Revenue_Calc")
[Final] = [Revenue] * (1 + [Tax])
TRACE("After_Tax")
Reference: See references/data-action-tracing.md for complete debugging guide.
Planning Workflows (Calendar)
The SAP Analytics Cloud calendar organizes collaborative planning processes.
Task Types
General Task: Data entry by assignees
- Attach work file (story/application)
- Set due dates and notifications
- Track completion status
Review Task: Approval workflow
- Review results of general tasks
- Approve or reject submissions
- Automatic notification on status change
Composite Task: Combined entry and review
- Simplified approval for single-level workflows
- Driving dimension support for regional planning
Data Locking Task: Schedule lock changes
- Specify data slice to lock/unlock
- Set target lock state
- Event-based triggering
Multi-Level Approval
Round 1: Regional Managers review regional plans
↓ (on approval)
Round 2: Finance Director reviews consolidated plan
↓ (on approval)
Round 3: CFO final approval
↓ (on approval)
Data Locking: Lock approved plan data
Task Dependencies
Configure predecessor tasks to create sequential workflows:
- Review tasks automatically start when predecessor completes
- Data locking tasks trigger on approval events
Reference: See references/planning-workflows.md for calendar configuration.
Spreading & Distribution
Spreading (Vertical)
Distributes values from parent to child members:
- Equal Spread: Divide equally among children
- Proportional Spread: Maintain existing ratios
- Automatic: SAC determines best method
// Spreading happens automatically when entering at aggregate level
// Example: Enter 1000 at "Total Regions" spreads to child regions
Distribution (Horizontal)
Moves values between members at same hierarchy level:
- Select source and target cells
- Choose distribution method
- Apply via context menu or script
Allocation by Rules
Configure structured allocations in data actions:
- Define driver accounts for percentage distribution
- Set allocation targets
- Execute via data action or multi action
Data Locking
Protect planning data during and after planning cycles.
Lock States
| State | Data Entry | Owner Can Edit |
|---|
| Open | Yes | Yes |
| Restricted | No (except owner) | Yes |
| Locked | No | No |
| Mixed | Varies | Varies (selection contains multiple states) |
Configuration
- Enable Data Locking on planning model
- Define Driving Dimensions (e.g., Region, Version)
- Assign Owners to data slices
- Configure Lock Regions via model settings
Script Example
// Get data locking object
var dataLocking = Table_1.getPlanning().getDataLocking();
// Get lock state for selection
var selection = Table_1.getSelections()[0];
var lockState = dataLocking.getState(selection);
// Check if locked
if (lockState === DataLockingState.Locked) {
Application.showMessage("This data is locked.");
}
Reference: See references/planning-workflows.md for data locking patterns.
Members on the Fly
Create, update, and delete dimension members dynamically at runtime.
Supported Operations
// Create new member
PlanningModel_1.createMembers("CostCenter", {
id: "CC_NEW",
description: "New Cost Center"
});
// Update existing member
PlanningModel_1.updateMembers("CostCenter", {
id: "CC_NEW",
description: "Updated Description"
});
// Get single member
var member = PlanningModel_1.getMember("CostCenter", "CC_NEW");
// Get members with pagination
var members = PlanningModel_1.getMembers("CostCenter", {
offset: "0",
limit: "100"
});
Important Restrictions
- Dimension Type: Only "Generic" dimensions supported (NOT Account, Version, Time, Organization)
- Refresh Required: Call
Application.refreshData() after member changes
- Custom Properties: Use prefixes to avoid naming conflicts (e.g., "CUSTOM_Region")
Reference: See references/analytics-designer-planning.md for complete API documentation.
Common JavaScript Patterns
Finding Active Version by Attribute
var allVersions = PlanningModel_1.getMembers("Version");
var activeVersion = "";
for (var i = 0; i < allVersions.length; i++) {
if (allVersions[i].properties.Active === "X") {
activeVersion = allVersions[i].id;
break;
}
}
console.log("Active Version: " + activeVersion);
Setting Filter from Planning Cycle
Application.showBusyIndicator();
Table_1.setVisible(false);
// Find active planning cycle
var cycles = PlanningModel_1.getMembers("PlanningCycle");
var activeCycle = "";
for (var i = 0; i < cycles.length; i++) {
if (cycles[i].properties.Flag === "ACTIVE") {
activeCycle = cycles[i].id;
break;
}
}
// Apply MDX filter
Table_1.getDataSource().setDimensionFilter("Date",
"[Date].[YQM].&[" + activeCycle + "]");
Table_1.setVisible(true);
Application.hideBusyIndicator();
Version Publishing
// Get forecast version
var forecastVersion = Table_1.getPlanning().getPublicVersion("Forecast2025");
// Check if changes need publishing
if (forecastVersion.isDirty()) {
forecastVersion.publish();
Application.showMessage("Version published successfully.");
}
Data Action Execution
// Execute data action with parameters
DataAction_1.setParameterValue("Version", "Budget");
DataAction_1.setParameterValue("Year", "2025");
DataAction_1.execute();
// Or execute in background
DataAction_1.executeInBackground();
Reference: See references/javascript-patterns.md for more examples.
Performance Best Practices
Data Action Optimization
- Use Input Controls: Link to parameters to reduce data scope
- Embed Related Actions: Combine actions on same model/version
- Minimize Cross-Model Operations: Keep data in single model when possible
- Use Batch Processing: Group operations in single transaction
Story Performance
- Enable Data Locking Selectively: Only on models that need it
- Use Growing Mode: For large tables with pagination
- Limit Visible Dimensions: Reduce data cells displayed
- Optimize Filters: Apply story filters before data entry
API Performance
- Use Booked Values Filter: Retrieve only posted data
- Limit getMembers() Results: Set limit parameter
- Cache Member Lists: Store in script variables when reusing
- Use Busy Indicator: Improve perceived performance
Troubleshooting
Issue: Data not saving
Check:
- Planning enabled on table?
- User has planning permissions?
- Data locked?
- Validation rules failing?
Debug:
console.log("Planning enabled: " + Table_1.getPlanning().isEnabled());
var lockState = Table_1.getPlanning().getDataLocking().getState(selection);
console.log("Lock state: " + lockState);
Issue: Version not publishing
Check:
- Valid changes only? (Invalid changes discarded)
- Data access control allowing write?
- Version not already published?
Issue: Data action failing
Check:
- Source data exists?
- Target version writable?
- Dimension mappings correct?
- Parameters set correctly?
Debug: Use data action tracing table with "Show Only Leaves" option.
Issue: getMembers() returns empty
Check:
- Dimension name correct?
- Model connected?
- User has read access?
- Using correct API (PlanningModel vs DataSource)?
Official Documentation Links
Essential Resources:
Planning Model & Data:
Data Actions & Multi Actions:
Version Management:
Data Locking:
Calendar & Workflows:
Allocations & Spreading:
Learning Resources:
Bundled Reference Files
This skill includes comprehensive reference documentation (26 files):
API & Scripting:
- references/api-reference.md: Complete Analytics Designer API for planning
- references/analytics-designer-planning.md: Planning scripting, setUserInput, versions, data locking, members on the fly
- references/api-snippets.md: Quick API code examples and snippets
Core Planning Features:
4. references/data-actions.md: Data Actions, Multi Actions, parameters, steps
5. references/multi-actions.md: Orchestrate multiple planning operations
6. references/allocations.md: Rule-based distribution and allocations
7. references/advanced-formulas.md: Complex calculations and formulas
8. references/predictive-conversion.md: Predictive forecasting integration
Workflow & Collaboration:
9. references/planning-workflows.md: Calendar, tasks, approvals, data locking
10. references/scheduling-calendar.md: Planning calendar setup
11. references/input-tasks.md: Collaborative data entry tasks
12. references/job-monitoring.md: Track data action execution
Version Management:
13. references/version-management.md: Versions, publishing, sharing, edit mode
14. references/version-edit-modes.md: Version editing workflows
15. references/version-publishing-notes.md: Publishing best practices
Integration & Advanced:
16. references/s4hana-acdocp-export.md: Legacy/deprecated S/4HANA ACDOCP export reference for existing landscapes
17. references/ai-planning-analytics.md: AI-powered planning features
Development:
18. references/javascript-patterns.md: Code snippets, patterns, best practices
19. references/modeling-basics.md: Planning model fundamentals
20. references/data-locking.md: Configure and manage data locks
21. references/edge-cdp-control.md: SAC planning browser add-on for the shared sap-browser-automation authentication, Edge/CDP, and recovery layer
New in 2025:
22. references/seamless-planning-datasphere.md: Seamless Planning architecture, prerequisites, configuration with SAP Datasphere
23. references/bpc-live-connection.md: BPC Embedded live connection, planning sequences, master data planning
24. references/value-driver-trees.md: Value driver tree setup, node configuration, JavaScript API
25. references/data-action-tracing.md: Data action tracing, tracepoints, debugging techniques
New in 2026:
26. references/whats-new-2026-planning.md: QRC1 and QRC2 2026 planning features, asymmetric reporting, composite versioning, AI-assisted data actions, API enhancements
Instructions for Claude
When using this skill:
- Check model type first - Ensure planning model (not analytic) for write operations
- Verify planning enabled - Table must have planning enabled
- Use appropriate API - PlanningModel for master data, getPlanning() for transactions
- Handle versions correctly - Private for drafts, publish to public when ready
- Respect data locking - Check lock state before suggesting edits
- Use busy indicators - For long operations to improve UX
- Follow MDX syntax - For dimension filters:
[Dim].[Hierarchy].&[Member]
- Test data actions - Use tracing before production deployment
- Consider performance - Apply filters to reduce data scope
- Link to documentation - Include relevant SAP Help links in responses
For troubleshooting:
- Check console for script errors
- Verify model connectivity
- Review data action logs
- Test with simplified scenarios first
- Check user permissions and data access
What's New in 2026
QRC1 2026 (2026.3)
- AI-Assisted Data Actions: Generate advanced formula scripts from natural-language comments, or generate comments from existing scripts.
- Live Data Connectivity to Snowflake: Planning-capable models can connect live to Snowflake.
- Story Versioning: Up to 10 major versions of stories for safe iterative development.
QRC2 2026 (2026.8)
- Asymmetric Reporting: Tables with differing time ranges, hierarchies, and measures per row/column. Supports planning data entry.
- Composite Versioning: Manage up to 10 versions of composites with rollback support.
- Data Export API in Job Monitor: Track data extraction and delta calculation jobs.
- Data Import Service API Enhancements: Import master data into Datasphere public dimensions; import external fact data to seamless planning private versions.
- onAfterExecute Event Enhancement: Additional upload info (message, statistics, rejected records, target version, file name).
- Multi-Action API Step: HTTP 204 Response: Accepted as success response.
- Calendar: Team References Retained: Teams auto-sync on event activation.
- Mixing Advanced Filters in Just Ask: Exclude date members with date range filters.
- Deprecation: Export Model Data to S/4HANA: Use write-back integration instead.
Reference: See references/whats-new-2026-planning.md for detailed descriptions, usage instructions, and source citations.
Bundled Resources
Reference Documentation
references/data-actions.md - Data actions configuration and executionreferences/multi-actions.md - Multi-action orchestrationreferences/allocations.md - Allocation methods and spreadingreferences/scheduling-calendar.md - Workflow schedulingreferences/data-locking.md - Data locking configurationreferences/version-management.md - Version management best practicesreferences/api-reference.md - Planning API referencereferences/javascript-patterns.md - JavaScript scripting patternsreferences/edge-cdp-control.md - Planning-specific add-on for the shared sap-browser-automation Edge/CDP and authentication layer
Templates
templates/data-action-checklist.md - Data action implementation checklisttemplates/multi-action-checklist.md - Multi-action setup guidetemplates/parameter-table.md - Parameter table template
License: GPL-3.0
Version: 1.5.0
Maintained by: Eduard Jiglau
Email: hello@sap-ai-skills.com
Website: https://sap-ai-skills.com
Repository: https://github.com/secondsky/sap-skills
