{
  "docId": "019dd923-5eff-723e-9be6-2c36e04f2df6",
  "docSlug": "635f118819531b39",
  "documentTitle": "2024 Q3 Results Presentation",
  "authorId": "Air-France-KLM",
  "authorName": "Air France-KLM",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.778,
  "pageNumber": 25,
  "pageCount": 29,
  "prevPage": 24,
  "nextPage": 26,
  "slideType": "kpi_dashboard",
  "function": "summarize",
  "density": "balanced",
  "nDataPoints": 35,
  "notes": "The table includes specific footnotes defining capacity, unit revenue, and cargo-related metrics.",
  "elementsJson": [
    "kpi_table",
    "footnote"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5eff-723e-9be6-2c36e04f2df6/25",
  "deckHref": "/decks/019dd923-5eff-723e-9be6-2c36e04f2df6",
  "deckJsonHref": "/decks/019dd923-5eff-723e-9be6-2c36e04f2df6.json",
  "deckAnchorHref": "/decks/019dd923-5eff-723e-9be6-2c36e04f2df6#slide-25",
  "components": [
    {
      "bbox": {
        "h": 0.04,
        "w": 0.15,
        "x": 0.76,
        "y": 0.92
      },
      "kind": "image",
      "text": "Air France-KLM Group logo",
      "attrs": null,
      "subkind": "logo",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "aa76be20-02c4-420d-8379-c1ee79feff18",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "metric",
      "text": "Operating margin: 5.1%",
      "attrs": null,
      "subkind": "primary",
      "toolName": "Quantification",
      "toolSlug": "quantification",
      "confidence": null,
      "componentId": "019dd952-5be9-7345-aceb-c00acfd53787",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.1,
        "w": 0.6,
        "x": 0.05,
        "y": 0.85
      },
      "kind": "source-note",
      "text": "Footnotes 1-4 detailing definitions of capacity, unit revenue, and cargo metrics.",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "fe5a1388-723d-4f39-8657-717f89f339cd",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.45,
        "w": 0.9,
        "x": 0.05,
        "y": 0.28
      },
      "kind": "table",
      "text": "Financial and operational performance table for Network, Transavia, Maintenance, and Group.",
      "attrs": null,
      "subkind": "kpi",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "e4dc7e05-f1f2-4082-9f13-1693e7e02abe",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.04,
        "w": 0.4,
        "x": 0.05,
        "y": 0.08
      },
      "kind": "title",
      "text": "9M 2024 BUSINESSES CONTRIBUTION",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "d40de7ba-2358-43eb-a958-0c7a3c34fcaf",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [
    {
      "name": "Chunking",
      "slug": "chunking",
      "agent": "Architect",
      "layer": "loop",
      "matchId": "019dd95a-1a13-73b8-b32f-eca1e8d8dde2",
      "evidence": "Business contributions broken into segment rows.",
      "confidence": 70
    },
    {
      "name": "Color Strategy",
      "slug": "color-strategy",
      "agent": "Designer",
      "layer": "slide",
      "matchId": "019dd95a-1a13-73b8-b32f-f25911bea183",
      "evidence": "Sentiment coloring on YoY changes.",
      "confidence": 70
    },
    {
      "name": "Data-Ink Ratio",
      "slug": "data-ink-ratio",
      "agent": "Designer",
      "layer": "slide",
      "matchId": "22e00900-7a61-4fdd-af79-69339b0af6ab",
      "evidence": "table/kpi: Financial and operational performance table for Network, Transavia, Maintenance, and Group.",
      "confidence": 0.7
    }
  ],
  "frameworks": [],
  "arcBeats": [],
  "loops": [
    {
      "to": 28,
      "from": 24,
      "name": "Segmentation Split",
      "slug": "34-segmentation-split",
      "bestFor": "Customer analysis, market research, resource allocation",
      "matchId": "019dd95a-08f8-7619-ac2b-717ed44dbb06",
      "evidence": "9M aggregate then businesses contribution, airline & Flying Blue, currency, debt — segment breakdowns.",
      "position": 4,
      "objective": "Decompose 9M results into segments and drivers",
      "structure": "The Aggregate View -> Segment A Behavior -> Segment B Behavior -> The Insight in the Difference",
      "confidence": 70,
      "description": "Divide a whole into meaningful segments to reveal hidden patterns"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}