{
  "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": 71,
  "pageCount": 164,
  "prevPage": 70,
  "nextPage": 72,
  "slideType": "case_study",
  "function": "illustrate_case",
  "density": "dense",
  "nDataPoints": 0,
  "notes": "The slide is divided into two main sections: the workflow overview and the detailed application/results.",
  "elementsJson": [
    "headline_text",
    "paragraph",
    "map",
    "process_diagram",
    "screenshot"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5ca1-7489-b63a-30ff11c618f5/71",
  "deckHref": "/decks/019dd923-5ca1-7489-b63a-30ff11c618f5",
  "deckJsonHref": "/decks/019dd923-5ca1-7489-b63a-30ff11c618f5.json",
  "deckAnchorHref": "/decks/019dd923-5ca1-7489-b63a-30ff11c618f5#slide-71",
  "components": [
    {
      "bbox": null,
      "kind": "callout",
      "text": "TRE Altamira (TRE-A) engineers set up a systematic processing chain of Sentinel-1 acquisitions to create continuously updated ground deformation data, marking the transition from static satellite analyses to dynamic monitoring.",
      "attrs": null,
      "subkind": null,
      "toolName": "Visual emphasis",
      "toolSlug": "visual-emphasis",
      "confidence": null,
      "componentId": "019dd951-d9f3-76ef-9955-7948d556bfee",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.25,
        "w": 0.3,
        "x": 0.65,
        "y": 0.25
      },
      "kind": "diagram",
      "text": "TRE-A workflow for monitoring ground deformation",
      "attrs": null,
      "subkind": "process",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "f2541f9b-fd7c-42d9-aa52-ee26cb26756a",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.3,
        "w": 0.45,
        "x": 0.5,
        "y": 0.62
      },
      "kind": "diagram",
      "text": "Illustration of the process from data acquisition, time series analysis and bulletin delivery",
      "attrs": null,
      "subkind": "process",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "fe8538df-e27c-422b-81b1-8b35eea0fb3e",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.25,
        "w": 0.12,
        "x": 0.42,
        "y": 0.33
      },
      "kind": "image",
      "text": "Map of Italy highlighting Tuscany",
      "attrs": null,
      "subkind": "map",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "96fd1f36-59d1-4660-b1d6-cd6d7d832e29",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.04,
        "w": 0.35,
        "x": 0.06,
        "y": 0.62
      },
      "kind": "paragraph",
      "text": "SQUEE-SAR TECHNOLOGY APPLIED TO ANOMALIES CLASSIFICATION",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "13137de7-b0c2-4da9-a076-0c6302db9fd8",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.04,
        "w": 0.35,
        "x": 0.06,
        "y": 0.25
      },
      "kind": "paragraph",
      "text": "CONTRIBUTION OF TRE ON DISPLACEMENTS IN TUSCANY (2016)",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "6d4a8978-33bb-447b-82a5-0a2ee6f9d540",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.45,
        "x": 0.06,
        "y": 0.08
      },
      "kind": "title",
      "text": "Continuous, semi-automatic monitoring of ground deformation",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "d16c96d2-10b5-4a45-8820-23dd20bd25a9",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [],
  "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": 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
}