{
  "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": 65,
  "pageCount": 164,
  "prevPage": 64,
  "nextPage": 66,
  "slideType": "other",
  "function": "present_framework",
  "density": "balanced",
  "nDataPoints": 1,
  "notes": "The slide uses a value-chain style structure to categorize EO data workflows.",
  "elementsJson": [
    "headline_text",
    "bullet_list",
    "value_chain_diagram"
  ],
  "metadataConfidence": 0.9,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5ca1-7489-b63a-30ff11c618f5/65",
  "deckHref": "/decks/019dd923-5ca1-7489-b63a-30ff11c618f5",
  "deckJsonHref": "/decks/019dd923-5ca1-7489-b63a-30ff11c618f5.json",
  "deckAnchorHref": "/decks/019dd923-5ca1-7489-b63a-30ff11c618f5#slide-65",
  "components": [
    {
      "bbox": {
        "h": 0.6,
        "w": 0.82,
        "x": 0.09,
        "y": 0.272
      },
      "kind": "framework",
      "text": "Value Chain",
      "attrs": null,
      "subkind": "instance",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "e146fe9a-b2cf-4b3d-917d-2776f6a76ab1",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.2,
        "w": 0.25,
        "x": 0.37,
        "y": 0.38
      },
      "kind": "list",
      "text": "Off-the-shelf supervised image classification algorithms; Cloud computing platforms; Data processing; Storage of historical data.",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "d7c22e1a-206b-4b97-89d5-16b9a7a269de",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.2,
        "w": 0.25,
        "x": 0.69,
        "y": 0.35
      },
      "kind": "list",
      "text": "Low-cost tools; EO data classification tools; Models assessing association; Estimates of ground deformation.",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "e3cc78da-6e49-4f60-94be-996fdb64dada",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.1,
        "w": 0.25,
        "x": 0.1,
        "y": 0.38
      },
      "kind": "list",
      "text": "Roughly 90% of satellite data comes from commercial satellites to monitor land use in urban areas.",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "f30c370b-16b8-492b-9cfc-694943095386",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.028,
        "w": 0.285,
        "x": 0.068,
        "y": 0.095
      },
      "kind": "title",
      "text": "URBAN MONITORING",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "a1b97fbd-1fa2-4159-a97c-cd3001e7d7b3",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.028,
        "w": 0.592,
        "x": 0.068,
        "y": 0.135
      },
      "kind": "title",
      "text": "THE VALUE CHAIN OF EO DATA FOR URBAN MONITORING",
      "attrs": null,
      "subkind": "subtitle",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "834f1b48-5c4e-430f-926d-414658e2d5bf",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [
    {
      "name": "Value chain",
      "slug": "value-chain",
      "agent": null,
      "layer": "slide",
      "matchId": "3af998d0-3f0b-4c18-98c9-3cac411769eb",
      "evidence": "The value chain of EO data for urban monitoring includes off-the-shelf supervised image classification algorithms, cloud computing platforms, data processing, and storage of historical data.",
      "confidence": 0.8
    },
    {
      "name": "Visual Hierarchy",
      "slug": "visual-hierarchy",
      "agent": "Designer",
      "layer": "slide",
      "matchId": "019de978-c5cd-706c-8752-6ecb09b356b0",
      "evidence": "Three-column value chain ordered acquisition->processing->users.",
      "confidence": 65
    }
  ],
  "frameworks": [
    {
      "name": "value-chain",
      "slug": null,
      "matchId": "8ce86f5d-5188-438e-a4d9-e8c327ff180e",
      "evidence": "The slide explicitly labels the content as a 'Value Chain' and organizes the process into sequential stages (Acquisition -> Processing -> Users).",
      "confidence": 0.95
    },
    {
      "name": "Value chain",
      "slug": null,
      "matchId": "019de978-cb3d-706b-b392-d51480ca51ce",
      "evidence": "Three-column urban-monitoring value chain.",
      "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": 72,
      "from": 61,
      "name": "So What Cascade",
      "slug": "41-so-what-cascade",
      "bestFor": "Data presentations, executive summaries, driving to recommendations",
      "matchId": "019de978-bf46-772d-b1a8-2af24957ae14",
      "evidence": "Pattern repeats: takeaways (61), context (62), framework (63), drivers (64), VC (65), SWOT (66), benefits (67), cases (70-72).",
      "position": 8,
      "objective": "Urban Monitoring: cascade from urbanisation 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
}