{
  "docId": "019dd923-5ca1-7489-b63a-30ff11c618f5",
  "docSlug": "48271a0f02613710",
  "documentTitle": "Copernicus Market report",
  "authorId": "PwC",
  "authorName": "PwC",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.778,
  "pageNumber": 51,
  "pageCount": 164,
  "prevPage": 50,
  "nextPage": 52,
  "slideType": "industry_trends",
  "function": "establish_context",
  "density": "overcrowded",
  "nDataPoints": 4,
  "notes": "Includes a stacked bar chart showing forestry output by country and type.",
  "elementsJson": [
    "headline_text",
    "paragraph",
    "bar_chart_stacked",
    "footnote"
  ],
  "metadataConfidence": 0.95,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5ca1-7489-b63a-30ff11c618f5/51",
  "deckHref": "/decks/019dd923-5ca1-7489-b63a-30ff11c618f5",
  "deckJsonHref": "/decks/019dd923-5ca1-7489-b63a-30ff11c618f5.json",
  "deckAnchorHref": "/decks/019dd923-5ca1-7489-b63a-30ff11c618f5#slide-51",
  "components": [
    {
      "bbox": null,
      "kind": "callout",
      "text": "EO becomes a crucial tool to forest managers, through two broad and interrelated categories: resource inventory and monitoring; and analysis, modeling, and forecasting to support decision making.",
      "attrs": null,
      "subkind": null,
      "toolName": "Visual emphasis",
      "toolSlug": "visual-emphasis",
      "confidence": null,
      "componentId": "019dd951-d9f3-76ef-9953-de2ab5e36b43",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.38,
        "w": 0.42,
        "x": 0.25,
        "y": 0.48
      },
      "kind": "chart",
      "text": "Output of forestry and logging by type, 2015",
      "attrs": null,
      "subkind": "bar-stacked",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "3bd7aa9c-b5c4-47c4-b5c2-50878eaa823c",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.03,
        "w": 0.42,
        "x": 0.25,
        "y": 0.88
      },
      "kind": "legend",
      "text": "Total output, Trees (net increment), Wood in the rough, Non-wood products, Other",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "22e413ac-48ab-40fc-bd24-6c0caf47e539",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "metric",
      "text": "Output of forestry and logging: 45.15 million",
      "attrs": null,
      "subkind": "primary",
      "toolName": "Quantification",
      "toolSlug": "quantification",
      "confidence": null,
      "componentId": "019dd951-d9f3-76ef-9953-e104ecfb659a",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.15,
        "w": 0.28,
        "x": 0.07,
        "y": 0.24
      },
      "kind": "paragraph",
      "text": "When the formal sector is referred to, and also taking into account its indirect and induced effects, the forestry industry figures show an estimated total of 45.15 million jobs globally and labor for a comprehensive income of $580 billion per year.",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "67552cd5-f37a-41d6-9a89-be7472782c0f",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.12,
        "w": 0.28,
        "x": 0.65,
        "y": 0.24
      },
      "kind": "paragraph",
      "text": "By 2050, the world population is expected to reach 9.8 billion, while income per capita is expected to triple. This will lead to increased harvesting of many natural resources, including wood, as well as more waste.",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "a8542ae1-6da6-4fe3-8556-ef682da2f301",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.02,
        "w": 0.12,
        "x": 0.39,
        "y": 0.51
      },
      "kind": "source-note",
      "text": "Source: Eurostat",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "e468f56f-6daf-4c2e-b444-e564d06b6f9e",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.04,
        "w": 0.18,
        "x": 0.07,
        "y": 0.08
      },
      "kind": "title",
      "text": "FORESTRY",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "76fe03a5-f9c3-460e-9a5c-3f1acba97c31",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.03,
        "w": 0.53,
        "x": 0.07,
        "y": 0.13
      },
      "kind": "title",
      "text": "A MARKET HISTORICALLY BENEFITTING FROM EO",
      "attrs": null,
      "subkind": "subtitle",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "7e95e9e4-169a-49e6-b7ed-c8f31dc61273",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [
    {
      "name": "Action Titles",
      "slug": "action-titles",
      "agent": "Architect",
      "layer": "slide",
      "matchId": "019de978-c4c2-7011-9af0-405014ad8e40",
      "evidence": "Action title 'A Market Historically Benefitting From EO'.",
      "confidence": 75
    }
  ],
  "frameworks": [],
  "arcBeats": [
    {
      "to": 155,
      "from": 38,
      "beatId": "019de978-bd95-77eb-8d44-c191a03ed714",
      "arcName": "The Consultant's Gambit",
      "arcSlug": "consultants-gambit",
      "beatName": "Evidence & Proof",
      "beatSlug": null,
      "evidence": "Eight sector deep-dives quantifying enabled revenues plus case studies.",
      "position": 3,
      "confidence": 70,
      "parentBeatName": null,
      "parentBeatSlug": null
    },
    {
      "to": 132,
      "from": 38,
      "beatId": "019de978-be1a-7645-baeb-dacc445f2ef7",
      "arcName": "The Triple Take",
      "arcSlug": "triple-take",
      "beatName": "The Implications (So What)",
      "beatSlug": null,
      "evidence": "Drivers/challenges, value chains, SWOT explain implications per sector.",
      "position": 2,
      "confidence": 60,
      "parentBeatName": null,
      "parentBeatSlug": null
    }
  ],
  "loops": [
    {
      "to": 60,
      "from": 50,
      "name": "So What Cascade",
      "slug": "41-so-what-cascade",
      "bestFor": "Data presentations, executive summaries, driving to recommendations",
      "matchId": "019de978-bf25-7122-8c0d-95794a225089",
      "evidence": "Same pattern: 50-53 context/drivers, 54 value chain, 55 SWOT, 56 quantified, 59-60 case studies.",
      "position": 7,
      "objective": "Forestry: cascade from sector context to quantified impact to case studies",
      "structure": "The Data -> So What? (Insight 1) -> So What? (Insight 2) -> So What? (The Action)",
      "confidence": 72,
      "description": "Chain insights together, each answering 'so what?' until you reach the actionable conclusion"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}