{
  "id": "workflow:data-quality-investigation",
  "_kind": "Workflow",
  "_file": "workflows/workflows/workflows-data-analyst.yaml",
  "_cluster": "workflows",
  "attributes": {
    "displayName": "Data Quality Investigation",
    "workflowKind": "data",
    "triggerType": "event-driven",
    "typicalCadence": "per-incident",
    "complexity": "cross-team",
    "description": "Investigates data quality anomalies and drives remediation --\ntriaging data quality alerts from automated monitoring or stakeholder\nreports, profiling affected datasets to characterize anomaly scope\nand impact, tracing root cause through data lineage from source\nsystems through transformation layers, assessing downstream impact on\nreports, dashboards, and business decisions, implementing corrective\ndata fixes and validating against expected values, recommending\npreventive controls including schema validation, freshness checks,\nand distribution monitoring, and communicating impact assessment and\nremediation timeline to affected stakeholders. Produces root-cause\nanalysis, impact assessment, and prevention recommendations. Excludes\ndata pipeline refactoring and monitoring tool configuration.\n"
  },
  "outgoingEdges": [
    {
      "from": "workflow:data-quality-investigation",
      "to": "role:data-analyst",
      "kind": "involves_role",
      "attributes": {}
    },
    {
      "from": "workflow:data-quality-investigation",
      "to": "role:data-engineer",
      "kind": "involves_role",
      "attributes": {}
    },
    {
      "from": "workflow:data-quality-investigation",
      "to": "role:business-analyst",
      "kind": "involves_role",
      "attributes": {}
    },
    {
      "from": "workflow:data-quality-investigation",
      "to": "skill-area:data-quality",
      "kind": "requires_skill_area",
      "attributes": {}
    },
    {
      "from": "workflow:data-quality-investigation",
      "to": "skill-area:python-data-pipelines",
      "kind": "requires_skill_area",
      "attributes": {}
    },
    {
      "from": "workflow:data-quality-investigation",
      "to": "domain:data-engineering",
      "kind": "applies_to_domain",
      "attributes": {}
    },
    {
      "from": "workflow:data-quality-investigation",
      "to": "domain:business-intelligence",
      "kind": "applies_to_domain",
      "attributes": {}
    },
    {
      "from": "workflow:data-quality-investigation",
      "to": "responsibility:data-quality-monitoring",
      "kind": "triggers_responsibility",
      "attributes": {}
    },
    {
      "from": "workflow:data-quality-investigation",
      "to": "responsibility:postmortem-writeup",
      "kind": "triggers_responsibility",
      "attributes": {}
    },
    {
      "from": "workflow:data-quality-investigation",
      "to": "org-unit:data-platform-team",
      "kind": "performed_by_org_unit",
      "attributes": {}
    },
    {
      "from": "workflow:data-quality-investigation",
      "to": "org-unit:data-governance-team",
      "kind": "performed_by_org_unit",
      "attributes": {}
    }
  ],
  "incomingEdges": []
}