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sap-signavio

SAP Signavio process management and mining skill. Use when modeling BPMN 2.0 processes, running process mining (Process Intelligence), configuring process KPIs, or integrating Signavio with S/4HANA and SBPA. If the user mentions Signavio, process mining, BPMN modeling, conformance checking, or process transformation, use this skill.

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efeumutaslan/SAP-SKILLS
Letzte Quellaktivität
24. März 2026 um 21:17
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Englisch
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SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
sap-signavio
description
SAP Signavio process management and mining skill. Use when modeling BPMN 2.0 processes, running process mining (Process Intelligence), configuring process KPIs, or integrating Signavio with S/4HANA and SBPA. If the user mentions Signavio, process mining, BPMN modeling, conformance checking, or process transformation, use this skill.
license
MIT
metadata
{"author":"SAP Skills Community","version":"1.0.0","last_verified":"2026-03-24"}
# SAP Signavio Process Management & Mining ## Related Skills - `sap-build-process-automation` — Automate processes modeled in Signavio - `sap-s4hana-extensibility` — Process variants for S/4HANA scenarios - `sap-cloud-alm` — ALM process monitoring complements Signavio insights ## Quick Start **Choose your Signavio component:** | Component | Purpose | Key Activity | |-----------|---------|-------------| | **Process Manager** | BPMN modeling, process repository | Design & publish processes | | **Process Intelligence** | Process mining, conformance | Analyze event logs | | **Process Governance** | Approval workflows for models | Govern process changes | | **Collaboration Hub** | Stakeholder communication | Share & collect feedback | | **Journey Modeler** | Customer/employee journeys | Map experience flows | **First API call — List Process Models:** ```bash curl -X GET "https://editor.signavio.com/p/revision" \ -H "x-signavio-id: {{SESSION_TOKEN}}" \ -H "Accept: application/json" \ -b "JSESSIONID={{SESSION_COOKIE}}" ``` ## Core Concepts ### BPMN 2.0 Modeling Standards | Element | Symbol | Usage | |---------|--------|-------| | Start Event | ○ | One per process (normal flow) | | End Event | ◉ | At least one; use multiple for different outcomes | | User Task | ▭ (person) | Manual human activity | | Service Task | ▭ (gear) | Automated system call | | Exclusive Gateway | ◇ (X) | Either/or branching | | Parallel Gateway | ◇ (+) | Fork/join concurrent paths | | Intermediate Event | ◎ | Timer, message, signal mid-flow | | Subprocess | ▭ [+] | Encapsulate reusable process | ### Process Intelligence (Mining) Pipeline 1. **Data extraction** — Pull event logs from source systems (S/4HANA, ECC, SuccessFactors) 2. **Data transformation** — Map to Signavio event log format (Case ID, Activity, Timestamp) 3. **Process discovery** — Auto-generate process model from event data 4. **Conformance checking** — Compare discovered vs. designed process 5. **Root cause analysis** — Identify bottlenecks, rework loops, deviations 6. **KPI monitoring** — Track cycle time, throughput, automation rate ### Event Log Format ```csv CaseID,Activity,Timestamp,Resource,Variant PO-001,Create Purchase Requisition,2026-01-15T08:00:00Z,User_A,Standard PO-001,Approve Purchase Requisition,2026-01-15T09:30:00Z,Manager_B,Standard PO-001,Create Purchase Order,2026-01-15T10:00:00Z,System,Standard PO-001,Goods Receipt,2026-01-20T14:00:00Z,User_C,Standard PO-001,Invoice Receipt,2026-01-22T11:00:00Z,User_D,Standard PO-001,Payment,2026-01-25T16:00:00Z,System,Standard ``` ## Common Patterns ### Pattern 1: Signavio API Authentication ```python import requests SIGNAVIO_URL = "https://editor.signavio.com" def authenticate(email, password, tenant_id): """Authenticate and get session token.""" resp = requests.post( f"{SIGNAVIO_URL}/p/login", data={ "name": email, "password": password, "tenant": tenant_id, "tokenonly": "true" } ) resp.raise_for_status() return { "token": resp.text.strip(), "cookie": resp.cookies.get("JSESSIONID") } def get_headers(session): return { "x-signavio-id": session["token"], "Accept": "application/json", "Cookie": f"JSESSIONID={session['cookie']}" } ``` ### Pattern 2: Export BPMN Model ```python def export_bpmn_xml(session, model_id): """Export process model as BPMN 2.0 XML.""" headers = get_headers(session) resp = requests.get( f"{SIGNAVIO_URL}/p/revision/{model_id}/bpmn2_0_xml", headers=headers ) resp.raise_for_status() return resp.text def export_svg(session, model_id): """Export process diagram as SVG.""" headers = get_headers(session) headers["Accept"] = "image/svg+xml" resp = requests.get( f"{SIGNAVIO_URL}/p/revision/{model_id}/svg", headers=headers ) resp.raise_for_status() return resp.text ``` ### Pattern 3: Process Mining Data Preparation (S/4HANA P2P) ```sql -- CDS view for Procure-to-Pay event log extraction @AbapCatalog.sqlViewName: 'ZV_P2P_EVLOG' @Analytics: { dataCategory: #FACT } define view Z_P2P_EVENT_LOG as -- Purchase Requisition Created select from eban { cast(banfn as abap.char(20)) as CaseID, 'Create Purchase Requisition' as Activity, badat as EventTimestamp, ernam as Resource, bsart as Variant } union all -- Purchase Order Created select from ekko { cast(ebeln as abap.char(20)) as CaseID, 'Create Purchase Order' as Activity, aedat as EventTimestamp, ernam as Resource, bsart as Variant } union all -- Goods Receipt select from mkpf inner join mseg on mkpf.mblnr = mseg.mblnr and mkpf.mjahr = mseg.mjahr { cast(mseg.ebeln as abap.char(20)) as CaseID, 'Goods Receipt' as Activity, mkpf.budat as EventTimestamp, mkpf.usnam as Resource, mseg.bwart as Variant } where mseg.bwart = '101' ``` ### Pattern 4: BPMN Best Practices Template ```xml <!-- Well-structured BPMN process --> <bpmn:process id="P2P_Standard" name="Procure-to-Pay Standard" isExecutable="true"> <!-- Single start event --> <bpmn:startEvent id="Start" name="Purchase Need Identified"/> <!-- Clear task naming: Verb + Object --> <bpmn:userTask id="T1" name="Create Purchase Requisition"/> <bpmn:userTask id="T2" name="Approve Purchase Requisition"/> <!-- Gateway with labeled outgoing flows --> <bpmn:exclusiveGateway id="G1" name="Approval Decision"/> <bpmn:sequenceFlow id="F_Approved" name="Approved" sourceRef="G1" targetRef="T3"/> <bpmn:sequenceFlow id="F_Rejected" name="Rejected" sourceRef="G1" targetRef="T_Reject"/> <bpmn:serviceTask id="T3" name="Create Purchase Order"/> <bpmn:userTask id="T4" name="Confirm Goods Receipt"/> <bpmn:serviceTask id="T5" name="Process Invoice"/> <bpmn:serviceTask id="T6" name="Execute Payment"/> <bpmn:endEvent id="End_Success" name="Payment Completed"/> <bpmn:endEvent id="End_Rejected" name="Requisition Rejected"/> </bpmn:process> ``` ### Pattern 5: Process KPI Configuration ```json { "kpis": [ { "name": "Cycle Time", "description": "Average time from requisition to payment", "formula": "AVG(EndTimestamp - StartTimestamp)", "target": "< 15 days", "dimension": "days" }, { "name": "First-Time-Right Rate", "description": "Percentage of cases without rework loops", "formula": "COUNT(cases_no_rework) / COUNT(all_cases) * 100", "target": "> 85%", "dimension": "percentage" }, { "name": "Automation Rate", "description": "Activities executed by system vs. total", "formula": "COUNT(system_activities) / COUNT(all_activities) * 100", "target": "> 60%", "dimension": "percentage" }, { "name": "Maverick Buying Rate", "description": "POs created without prior requisition", "formula": "COUNT(po_without_pr) / COUNT(all_po) * 100", "target": "< 5%", "dimension": "percentage" } ] } ``` ## Error Catalog | Error | Message | Root Cause | Fix | |-------|---------|------------|-----| | `401` | Session expired | Token timeout (default 30 min) | Re-authenticate; implement token refresh | | `403` | Access denied | Missing workspace permissions | Check Signavio role assignments | | `404` | Model not found | Wrong revision ID or deleted model | Use directory API to get current revision | | `409` | Conflict | Concurrent model edit | Reload model, merge changes manually | | Mining: No data | Empty process graph | Event log has no matching cases | Verify CaseID linking across activities | | Mining: Spaghetti | Too many variants | Missing activity normalization | Standardize activity names; filter outliers | | Export: Timeout | Large model export failed | Model too complex (>200 elements) | Split into subprocesses; export parts | | Import: Invalid BPMN | Schema validation error | Non-standard BPMN extensions | Remove vendor-specific extensions before import | ## Performance Tips 1. **Event log size** — Keep under 10M events per analysis; sample or partition by date range 2. **Activity normalization** — Standardize naming before import; "Create PO" and "PO Creation" = same activity 3. **Case linking** — Use document flow tables (VBFA, EKBE) to link cross-module cases 4. **Incremental mining** — Schedule delta extracts (changed since last run) for ongoing monitoring 5. **Model complexity** — Keep BPMN models under 50 elements per diagram; use subprocesses for detail 6. **Variant analysis** — Focus on top 20 variants (usually 80%+ of cases); group rare variants as "Other" 7. **Collaboration Hub** — Publish only approved models; use governance workflow for version control ## Gotchas - **Signavio vs. BPA**: Signavio models are *design-time* reference; SAP Build Process Automation is *runtime* execution — they complement, not replace each other - **BPMN compliance**: Signavio enforces strict BPMN 2.0; models from other tools may need cleanup before import - **Event timestamp granularity**: Second-level timestamps required for accurate mining; day-level creates artificial parallelism - **Process Intelligence licensing**: Mining capabilities require separate PI license; Process Manager alone doesn't include mining - **S/4HANA connector**: Pre-built extractors exist for O2C, P2P, AP — custom processes need manual event log setup
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