{
  "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": 42,
  "pageCount": 164,
  "prevPage": 41,
  "nextPage": 43,
  "slideType": "other",
  "function": "present_framework",
  "density": "dense",
  "nDataPoints": 0,
  "notes": "The slide uses a linear value chain structure to categorize the EO data ecosystem for agriculture.",
  "elementsJson": [
    "headline_text",
    "bullet_list",
    "icon_grid"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5ca1-7489-b63a-30ff11c618f5/42",
  "deckHref": "/decks/019dd923-5ca1-7489-b63a-30ff11c618f5",
  "deckJsonHref": "/decks/019dd923-5ca1-7489-b63a-30ff11c618f5.json",
  "deckAnchorHref": "/decks/019dd923-5ca1-7489-b63a-30ff11c618f5#slide-42",
  "components": [
    {
      "bbox": {
        "h": 0.035,
        "w": 0.275,
        "x": 0.068,
        "y": 0.272
      },
      "kind": "framework",
      "text": "ACQUIRING EO DATA",
      "attrs": null,
      "subkind": "instance",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "00400e06-519e-423f-a835-f94ce5de266e",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.035,
        "w": 0.275,
        "x": 0.362,
        "y": 0.272
      },
      "kind": "framework",
      "text": "PROCESSING NEEDS AND CAPABILITIES",
      "attrs": null,
      "subkind": "instance",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "1b2e3d50-1cdc-4787-84d1-b0331c34b75a",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.035,
        "w": 0.275,
        "x": 0.657,
        "y": 0.272
      },
      "kind": "framework",
      "text": "USERS & NEEDS",
      "attrs": null,
      "subkind": "instance",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "247ffa07-5c42-41ec-98d5-d4e4681fbb91",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "framework",
      "text": "Value Chain",
      "attrs": null,
      "subkind": null,
      "toolName": "Structuring frame",
      "toolSlug": "structuring-frame",
      "confidence": null,
      "componentId": "019dd951-d9f3-76ef-9952-e9ed01dba7a9",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.45,
        "w": 0.26,
        "x": 0.665,
        "y": 0.32
      },
      "kind": "list",
      "text": "User applications including precision farming, policy monitoring, and training requirements.",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "36506f6f-9a9c-42d0-8831-0bb4017abe68",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.45,
        "w": 0.26,
        "x": 0.37,
        "y": 0.32
      },
      "kind": "list",
      "text": "Processing requirements including in-situ data integration, expert profiles, and automation trends.",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "5269f014-3b7a-4fd7-9466-c50e1070c0a8",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.45,
        "w": 0.26,
        "x": 0.075,
        "y": 0.32
      },
      "kind": "list",
      "text": "Acquisition details including open vs commercial data, revisit frequency, and resolution requirements.",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "b6250cdd-420d-4f5d-ae87-65856f0396ad",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.025,
        "w": 0.165,
        "x": 0.068,
        "y": 0.095
      },
      "kind": "title",
      "text": "AGRICULTURE",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "c19f244c-c5fc-4df1-9cf3-77f1c6a55348",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.025,
        "w": 0.435,
        "x": 0.068,
        "y": 0.135
      },
      "kind": "title",
      "text": "THE VALUE CHAIN OF EO DATA FOR AGRICULTURE",
      "attrs": null,
      "subkind": "subtitle",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "a5320d19-a365-4013-b8b3-cf82d0b9a273",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [
    {
      "name": "Value chain",
      "slug": "value-chain",
      "agent": null,
      "layer": "slide",
      "matchId": "e9360217-4fe8-416e-b069-9a2e4c7fd66a",
      "evidence": "The slide presents a clear value chain for EO data in agriculture, including acquisition, processing, and user applications.",
      "confidence": 0.8
    },
    {
      "name": "Visual Hierarchy",
      "slug": "visual-hierarchy",
      "agent": "Designer",
      "layer": "slide",
      "matchId": "019de978-c3d7-774d-adc2-0b59428ae536",
      "evidence": "Three-column value chain reads left-to-right.",
      "confidence": 70
    }
  ],
  "frameworks": [
    {
      "name": "value-chain",
      "slug": null,
      "matchId": "8d521c19-cc9b-4cba-872a-e7ee61626b03",
      "evidence": "The slide explicitly structures the content into three sequential stages of the EO data lifecycle.",
      "confidence": 1
    },
    {
      "name": "Value chain",
      "slug": null,
      "matchId": "019de978-cad7-7494-9df3-af58d01a8068",
      "evidence": "Three-column EO value chain for agriculture.",
      "confidence": 88
    }
  ],
  "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": 49,
      "from": 38,
      "name": "So What Cascade",
      "slug": "41-so-what-cascade",
      "bestFor": "Data presentations, executive summaries, driving to recommendations",
      "matchId": "019de978-bf04-74be-b717-df4df0fe02a0",
      "evidence": "Pattern: industry context (39) -> drivers/challenges (41) -> value chain (42) -> quantified benefits (44) -> three case studies (47-49).",
      "position": 6,
      "objective": "Agriculture: from sector facts to quantified Copernicus benefits to case-study actions",
      "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
}