{
  "docId": "019dd923-5de0-76bd-a167-4ad422dfb179",
  "docSlug": "237dce6514343417",
  "documentTitle": "PwC's 22nd Annual Global CEO Survey",
  "authorId": "PwC",
  "authorName": "PwC",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.776,
  "pageNumber": 29,
  "pageCount": 48,
  "prevPage": 28,
  "nextPage": 30,
  "slideType": "data_table",
  "function": "analyze_data",
  "density": "dense",
  "nDataPoints": 36,
  "notes": "The chart uses a shaded area to represent the gap between 'Critical/important' and 'Comprehensive' data metrics.",
  "elementsJson": [
    "headline_text",
    "paragraph",
    "line_chart"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5de0-76bd-a167-4ad422dfb179/29",
  "deckHref": "/decks/019dd923-5de0-76bd-a167-4ad422dfb179",
  "deckJsonHref": "/decks/019dd923-5de0-76bd-a167-4ad422dfb179.json",
  "deckAnchorHref": "/decks/019dd923-5de0-76bd-a167-4ad422dfb179#slide-29",
  "components": [
    {
      "bbox": null,
      "kind": "callout",
      "text": "Has the ‘comprehensiveness’ of the data CEOs receive on these measures improved over the last ten years? Not really.",
      "attrs": null,
      "subkind": null,
      "toolName": "Visual emphasis",
      "toolSlug": "visual-emphasis",
      "confidence": null,
      "componentId": "019dd951-d9f3-76ef-993f-a2425b4fdcbd",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.45,
        "w": 0.65,
        "x": 0.04,
        "y": 0.35
      },
      "kind": "chart",
      "text": "Line chart showing 2009 and 2019 data for 'Critical/important' and 'Comprehensive' metrics across 9 categories.",
      "attrs": null,
      "subkind": "line",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "4003063c-7835-47ab-a3ac-342034159fa0",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "metric",
      "text": "Data adequacy gap: 95%",
      "attrs": null,
      "subkind": "primary",
      "toolName": "Quantification",
      "toolSlug": "quantification",
      "confidence": null,
      "componentId": "019dd951-d9f3-76ef-993f-a6aaa026dd1f",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.35,
        "w": 0.24,
        "x": 0.73,
        "y": 0.38
      },
      "kind": "paragraph",
      "text": "Exhibit 12 divides the data CEOs use to make long-term business decisions into categories and shows how 'critical' or 'important' that data is versus how 'comprehensive' it is in each category in 2009, and now again in 2019.",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "0b88282f-ed07-4bdb-8ce7-e1ce5c052309",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.03,
        "w": 0.2,
        "x": 0.04,
        "y": 0.91
      },
      "kind": "source-note",
      "text": "Source: PwC, 22nd Annual Global CEO Survey. Base: All respondents (2019=1,378; 2009=1,124)",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "ef258aa0-41d5-4ac0-baf0-42c1075ec201",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.12,
        "w": 0.45,
        "x": 0.03,
        "y": 0.13
      },
      "kind": "title",
      "text": "CEOs face issues with their own capabilities, mostly in terms of data adequacy, with a huge gap that remains ten years on",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "3fa4359d-e730-45fe-9ab9-e965ef09da68",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [
    {
      "name": "Action Titles",
      "slug": "action-titles",
      "agent": "Architect",
      "layer": "slide",
      "matchId": "019de8a9-ff78-742f-98aa-280842e4d81c",
      "evidence": "title: 'huge gap that remains ten years on'",
      "confidence": 90
    },
    {
      "name": "Annotation",
      "slug": "annotation",
      "agent": "Designer",
      "layer": "slide",
      "matchId": "019de8a9-ff9d-72cd-b655-c4e98e204a66",
      "evidence": "shaded area between curves explicitly labelled 'Gap between'",
      "confidence": 85
    },
    {
      "name": "Chart Selection Guide",
      "slug": "chart-selection-guide",
      "agent": "Designer",
      "layer": "slide",
      "matchId": "019de8a9-ffc0-744d-9487-2f654482fc3a",
      "evidence": "dual-line chart appropriate for importance vs comprehensiveness",
      "confidence": 80
    },
    {
      "name": "Color Strategy",
      "slug": "color-strategy",
      "agent": "Designer",
      "layer": "slide",
      "matchId": "019de8a9-ffe4-7657-a8d8-38906ed4d6e3",
      "evidence": "yellow vs grey to separate 2019 from 2009 series",
      "confidence": 75
    },
    {
      "name": "Data-Ink Ratio",
      "slug": "data-ink-ratio",
      "agent": "Designer",
      "layer": "slide",
      "matchId": "e7b60708-6a41-4ad6-b6ed-76569cf2eb08",
      "evidence": "The slide features a line chart with multiple metrics, demonstrating a consideration of data-ink ratio in its design.",
      "confidence": 0.6
    }
  ],
  "frameworks": [],
  "arcBeats": [
    {
      "to": 39,
      "from": 16,
      "beatId": "019de8a9-f358-704c-895a-114489383d85",
      "arcName": "The Triple Take",
      "arcSlug": "triple-take",
      "beatName": "The Implications (So What)",
      "beatSlug": null,
      "evidence": "Sections 2-3 — threats, inward turn, data/skills/AI capability gaps",
      "position": 2,
      "confidence": 80,
      "parentBeatName": null,
      "parentBeatSlug": null
    },
    {
      "to": 39,
      "from": 28,
      "beatId": "019de8a9-f434-716f-8d51-b19655acd0aa",
      "arcName": "The Consultant's Gambit",
      "arcSlug": "consultants-gambit",
      "beatName": "Evidence & Proof",
      "beatSlug": null,
      "evidence": "Persistent data/skills gap; AI belief vs adoption gap",
      "position": 4,
      "confidence": 60,
      "parentBeatName": null,
      "parentBeatSlug": null
    }
  ],
  "loops": [
    {
      "to": 33,
      "from": 28,
      "name": "Benchmark Gap",
      "slug": "39-benchmark-gap",
      "bestFor": "Performance improvement, competitive analysis, target setting",
      "matchId": "019de8a9-f50d-71a5-920a-739269d1606b",
      "evidence": "p.29 dual-line chart explicitly labels the gap between 'critical/important' and 'comprehensive' — gap unchanged in 10 years.",
      "position": 5,
      "objective": "Quantify the persistent gap between data/skills CEOs need and what they have",
      "structure": "Our Performance -> Industry Average -> Best-in-Class -> The Gap = The Opportunity",
      "confidence": 85,
      "description": "Compare performance against best-in-class to quantify the opportunity"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}