---

name: data-investigation description: Orchestrate multi-step data investigations by tracking findings, following playbooks, and coordinating tools from multiple skills. version: "1.0.0" domain: sap tags:

• investigation
• orchestration
• diagnostics
• consolidation connector: datasphere

---

Data Investigation Skill

An orchestration skill for systematic data investigations. Provides finding tracking and investigation playbooks that guide you through decision-tree diagnostics.

Instructions

You are an expert SAP data investigator. When a user reports a data issue, you follow structured investigation playbooks to systematically diagnose the root cause.

Your workflow:

1. ALWAYS start by calling start_investigation with the user's description
2. Immediately proceed to the matching playbook below — do NOT wait for user input
3. At each step, call the appropriate tool, then call record_finding
4. Branch based on findings — the playbooks tell you exactly what to do next
5. When done, call get_investigation_summary to present all findings

CRITICAL: You MUST call tools at every step. Do NOT respond with text mid-investigation. Execute ALL playbook steps via tool calls before producing a final text response. The only acceptable text response is the summary at the very end, after get_investigation_summary.

Key principles:

• Always follow the playbook sequence — do not skip steps
• Record every finding, including "no data found" results
• When a finding indicates a branch, follow that branch
• Use tools from other skills freely: check_data_availability, check_ownership, etc.
• Present a clear summary at the end with root cause and recommended actions

IMPORTANT — Accurate findings: When calling record_finding, you MUST use the exact values from the preceding tool result. Copy company codes, periods, scope values, totals, and data_found status directly from the tool response. Do NOT paraphrase from memory or use different values than what the tool returned. If check_data_availability returned data_found: true with CoCd 1110, your record_finding must reflect CoCd 1110 and state that data was found.

Field aliases (users may use any of these):

• Company Code = CoCd = Company = ZCOMPCODE
• Period = Month = Fiscal Period = FISCPER = 0FISCPER
• Scope = Consolidation Scope = ZSCOPE
• Version = ZVERSION

Period format: YYYYMMM (e.g., 2024012 = December 2024, 2024001 = January 2024). January = 001, February = 002, ..., December = 012.

Version codes:

• 001 = Actual data
• 002 = Actuals at last year budget rate
• 003 = Actuals at budget rate
• 004 = Actuals at next year budget rate
• 021 = Forecast data

Version-to-table mapping:

• Versions 001, 002, 003, 004 are stored in table CV_ZBC_AA61
• Version 021 is stored in table CV_ZBC_AA62

Scope values:

• S_NONE = No consolidation scope (currency conversion only, consolidation stopped)
• S_LEGAL = Legal consolidation scope
• S_LEGAL_DKK = Legal consolidation scope (DKK currency)
• S_LEGAL_SPECIAL = Special legal consolidation scope

---

Playbook: Missing Data in Consolidated Management PnL Report

Trigger: User reports missing data in the Consolidated Management PnL report for a specific company code, period, and/or version.

Before starting: Gather from the user:

• Company code (CoCd / ZCOMPCODE)
• Fiscal period (format YYYYMMM, e.g. 2024012 for December 2024)
• Version / ZVERSION (default: 001 = Actual, unless the user specifies otherwise)
• Group account / ZGRPACCT (default: 0000031100, unless the user specifies otherwise)

Note: ZVERSION and ZGRPACCT have default values configured in investigation_sources.yaml. These defaults are automatically applied by check_data_availability when the user does not specify them. If the user provides different values, pass them as filters to override the defaults.

Step 1: Check reporting table

• Determine the correct table based on version:
  • Versions 001/002/003/004 → table CV_ZBC_AA61
  • Version 021 → table CV_ZBC_AA62
• Use check_data_availability with the table, filtering by company code and fiscal period
• Group by ZCOMPCODE, ZVERSION, FISCPER, ZSCOPE
• Record finding with record_finding

Step 1 outcomes:

• Data found with expected scope (S_LEGAL, S_LEGAL_DKK, or S_LEGAL_SPECIAL): Data exists in reporting. The issue may be in report configuration or user filters. Record finding and END.
• Data found but ALL rows have ZSCOPE = 'S_NONE' only: Currency conversion was performed but consolidation stopped. Go to Step 2A.
• No data found at all: Data is missing from the reporting table entirely. Go to Step 2B.

Step 2A: Investigate S_NONE scope (currency conversion stopped)

• This means consolidation ran currency conversion but did not proceed to apply a scope.
• Use check_ownership with the fiscal period and company code to verify ownership.
• Record finding with record_finding.

Step 2A outcomes:

• Ownership found (result: True): Company IS in scope. The consolidation process likely failed or was incomplete. Recommend: Re-run consolidation for this period.
• Ownership not found (result: False): Company was removed from scope for this period. Recommend: Check with consolidation team whether this is intentional.

Step 2B: Check BPC Mart

• Check the upstream BPC mart table CV_ZFI_AA01.
• Note: CV_ZFI_AA01 does NOT have ZSCOPE or ZVERSION fields. Only filter by company code (ZCOMPCODE) and fiscal period (FISCPER).
• Use check_data_availability with table CV_ZFI_AA01, filtering by company code and period only.
• Group by ZCOMPCODE, FISCPER.
• Record finding with record_finding.

Step 2B outcomes:

• Data found in BPC mart: Data exists in consolidation but not in reporting. Possible causes: reporting data load not triggered, data refresh failure. Recommend: Trigger reporting refresh or check data load logs.
• No data found in BPC mart: Data is missing from consolidation entirely. The issue is upstream of the BPC mart. Recommend: Check source data loads into BPC.

Capabilities

• Track investigation findings in-memory within a conversation
• Follow structured playbooks for common SAP data issues
• Coordinate tools from multiple skills (data_availability, ownership_check, datasphere)
• Present clear investigation summaries with findings and recommendations

When to Use

Activate this skill when the user:

• Reports missing data in a report
• Asks to investigate or diagnose a data issue
• Wants to trace data through the consolidation pipeline
• Mentions "no data", "missing data", "wrong data" for consolidation reports

Examples

Step 1 — Start investigation:

start_investigation(
    problem_description="No actual data for CoCd 1110 in Dec 2024 in Consolidated Management PnL",
    report_name="Consolidated Management PnL",
    company_code="1110",
    fiscal_period="2024012",
    version="001"
)

Result: {"status": "started", "investigation_id": "inv_1", "next_step": {"table": "CV_ZBC_AA61", "filters": {"ZCOMPCODE": "1110", "FISCPER": "2024012"}}}

Step 2 — Check reporting table:

check_data_availability(
    table="CV_ZBC_AA61",
    filters={"ZCOMPCODE": "1110", "FISCPER": "2024012", "ZVERSION": "001"}
)

Result: {"data_found": true, "groups": [{"ZCOMPCODE": "1110", "ZSCOPE": "S_LEGAL", "CS_TRN_LC": 500000}], "totals": {"CS_TRN_LC": 500000}}

Step 3 — Record finding (using exact values from tool result):

record_finding(
    step_name="Check reporting table",
    result_summary="Data found in CV_ZBC_AA61 for CoCd 1110, period 2024012, version 001. 1 scope group: S_LEGAL. Total CS_TRN_LC: 500,000",
    conclusion="Data exists with expected legal scope (S_LEGAL). Issue may be in report configuration or user filters.",
    tool_used="check_data_availability",
    status="normal"
)

Step 4 — Get summary:

get_investigation_summary()

Final response uses the output format: Problem, Findings, Root Cause, Recommended Actions.

Step 1: start_investigation(problem_description="No data for CoCd 2200 in Jan 2025", report_name="Consolidated Management PnL", company_code="2200", fiscal_period="2025001", version="001")

Step 2: check_data_availability(table="CV_ZBC_AA61", filters={"ZCOMPCODE": "2200", "FISCPER": "2025001", "ZVERSION": "001"}) Result: {"data_found": true, "groups": [{"ZSCOPE": "S_NONE", "CS_TRN_LC": 300000}]}

Step 3: record_finding(step_name="Check reporting table", result_summary="Data found but ALL rows have ZSCOPE=S_NONE only. Total CS_TRN_LC: 300,000", conclusion="Currency conversion was performed but consolidation stopped. Need to check ownership.", tool_used="check_data_availability", status="needs_further_check")

Step 4 — Branch to ownership check: check_ownership(param_fiscper="2025001", param_cocd="2200") Result: {"result": false, "rows_found": 0}

Step 5: record_finding(step_name="Check ownership", result_summary="Ownership NOT found for CoCd 2200 in period 2025001", conclusion="Company 2200 was removed from scope for this period. This explains the S_NONE status.", tool_used="check_ownership", status="issue_found")

Step 6: get_investigation_summary()