{
  "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": 44,
  "pageCount": 164,
  "prevPage": 43,
  "nextPage": 45,
  "slideType": "impact_sizing",
  "function": "quantify_impact",
  "density": "overcrowded",
  "nDataPoints": 8,
  "notes": "Includes a causal chain diagram showing how precision agriculture and crop monitoring lead to economic impacts.",
  "elementsJson": [
    "headline_text",
    "paragraph",
    "bar_chart_stacked",
    "process_diagram",
    "icon_grid"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5ca1-7489-b63a-30ff11c618f5/44",
  "deckHref": "/decks/019dd923-5ca1-7489-b63a-30ff11c618f5",
  "deckJsonHref": "/decks/019dd923-5ca1-7489-b63a-30ff11c618f5.json",
  "deckAnchorHref": "/decks/019dd923-5ca1-7489-b63a-30ff11c618f5#slide-44",
  "components": [
    {
      "bbox": null,
      "kind": "callout",
      "text": "Revenues enabled by Copernicus are expected to rise in the upcoming decade, especially since the majority of intermediate stakeholders are utilizing more and more Copernicus data in their solutions.",
      "attrs": null,
      "subkind": null,
      "toolName": "Visual emphasis",
      "toolSlug": "visual-emphasis",
      "confidence": null,
      "componentId": "019dd951-d9f3-76ef-9956-f636d7872e6b",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.3,
        "w": 0.35,
        "x": 0.06,
        "y": 0.6
      },
      "kind": "chart",
      "text": "Economic benefits of Copernicus through its contribution to agriculture sector",
      "attrs": null,
      "subkind": "bar-stacked",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "5ccb6aeb-d39e-4515-92b2-6b84ccf89f96",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.7,
        "w": 0.43,
        "x": 0.52,
        "y": 0.22
      },
      "kind": "diagram",
      "text": "Economic impacts causal chain",
      "attrs": null,
      "subkind": "process",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "b5242dfb-e6f5-47fe-839d-61fb41ac1ac5",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "metric",
      "text": "EUR M: 570 M",
      "attrs": null,
      "subkind": "primary",
      "toolName": "Quantification",
      "toolSlug": "quantification",
      "confidence": null,
      "componentId": "019dd951-d9f3-76ef-9956-fbc3eee611b5",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.43,
        "x": 0.06,
        "y": 0.22
      },
      "kind": "paragraph",
      "text": "Precision farming services represent a large proportion of revenues generated by EO services within the agricultural sector, helping to improve profitability of the farmer.",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "3076f3d6-ee36-4cfd-8c62-382dacb3758d",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.12,
        "w": 0.43,
        "x": 0.06,
        "y": 0.38
      },
      "kind": "paragraph",
      "text": "Revenues enabled by Copernicus are expected to rise in the upcoming decade... Benefits for intermediate users are therefore estimated to lie within EUR 11 to 19 M in 2018, which can rise to EUR 15 to 29 M by 2020.",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "6cb34a59-5482-493e-9a29-58b6bd3c076a",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.08,
        "w": 0.43,
        "x": 0.06,
        "y": 0.28
      },
      "kind": "paragraph",
      "text": "For intermediate users, the majority stakeholders interviewed utilized Copernicus data within their solutions. However, the degree of reliance varied greatly, ranging from 20-30% of the EO data used, up to 90-100%.",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "9ab05fb4-0c01-4fcd-a0d0-94f371f4c645",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.03,
        "w": 0.22,
        "x": 0.06,
        "y": 0.08
      },
      "kind": "title",
      "text": "AGRICULTURE",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "6b68e223-8908-422f-af29-471c1963b490",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.03,
        "w": 0.47,
        "x": 0.06,
        "y": 0.12
      },
      "kind": "title",
      "text": "COPERNICUS BENEFITS FOR AGRICULTURE",
      "attrs": null,
      "subkind": "subtitle",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "cd90f166-c885-47f5-90cf-799505866167",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [
    {
      "name": "Action Titles",
      "slug": "action-titles",
      "agent": "Architect",
      "layer": "slide",
      "matchId": "019de978-c3f9-731d-8620-7c0476d03704",
      "evidence": "Action title 'Revenues enabled by Copernicus are expected to rise...'.",
      "confidence": 78
    },
    {
      "name": "Annotation",
      "slug": "annotation",
      "agent": "Designer",
      "layer": "slide",
      "matchId": "019de978-c41a-7434-b4d9-338eacc01485",
      "evidence": "Stacked bar annotated with growth callout.",
      "confidence": 65
    },
    {
      "name": "Waterfall chart",
      "slug": "waterfall-chart",
      "agent": null,
      "layer": "slide",
      "matchId": "267d7e04-42f9-40d8-92d6-9760879fa82f",
      "evidence": "The slide presents a chart showing economic benefits, which could be interpreted as a type of waterfall chart.",
      "confidence": 0.7
    }
  ],
  "frameworks": [
    {
      "name": "causal-chain",
      "slug": null,
      "matchId": "5d565c1b-5d27-4e6a-8226-5ddc00e07b30",
      "evidence": "The diagram maps inputs (Precision Agriculture/Crop Monitoring) to intermediate outputs and final economic outcomes.",
      "confidence": 0.9
    }
  ],
  "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
}