{
  "docId": "019dd923-5de0-76bd-a167-dc33bed363eb",
  "docSlug": "42b983acd15c7ada",
  "documentTitle": "Elevating the Exchange",
  "authorId": "Accenture",
  "authorName": "Accenture",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.778,
  "pageNumber": 27,
  "pageCount": 36,
  "prevPage": 26,
  "nextPage": 28,
  "slideType": "data_table",
  "function": "analyze_data",
  "density": "dense",
  "nDataPoints": 20,
  "notes": "The chart illustrates a clear trend of data monetization becoming a larger share of total revenue over the decade.",
  "elementsJson": [
    "headline_text",
    "subtitle_text",
    "bar_chart_stacked",
    "bullet_list",
    "paragraph",
    "footnote"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5de0-76bd-a167-dc33bed363eb/27",
  "deckHref": "/decks/019dd923-5de0-76bd-a167-dc33bed363eb",
  "deckJsonHref": "/decks/019dd923-5de0-76bd-a167-dc33bed363eb.json",
  "deckAnchorHref": "/decks/019dd923-5de0-76bd-a167-dc33bed363eb#slide-27",
  "components": [
    {
      "bbox": null,
      "kind": "callout",
      "text": "Understanding customers' needs is, of course, only one requirement for building a data-provisioning business. Our interviewees also highlighted the need to develop the right talent and organizational culture when building a data business.",
      "attrs": null,
      "subkind": null,
      "toolName": "Visual emphasis",
      "toolSlug": "visual-emphasis",
      "confidence": null,
      "componentId": "019dd951-a672-7739-9cec-ba56b7509d8d",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.435,
        "w": 0.462,
        "x": 0.403,
        "y": 0.336
      },
      "kind": "chart",
      "text": "Stacked bar chart showing revenue split between Data Monetization and Non-Data Revenue from 2014-2023",
      "attrs": null,
      "subkind": "bar-stacked-100pct",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "1b3d4e47-1fc7-4828-9f3c-1d930fdf6dc4",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.45,
        "w": 0.27,
        "x": 0.083,
        "y": 0.158
      },
      "kind": "list",
      "text": "Customers want specialized toolsets; Market-data platforms are essential; Users expect higher quality at lower price; Users want incremental change.",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "b7ff5d14-35d6-4ea1-a84b-5729a842ca51",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "metric",
      "text": "Data monetization share of total revenue: 45%",
      "attrs": null,
      "subkind": "primary",
      "toolName": "Quantification",
      "toolSlug": "quantification",
      "confidence": null,
      "componentId": "019dd951-a672-7739-9cec-be0d1ddc2a69",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.045,
        "w": 0.385,
        "x": 0.417,
        "y": 0.201
      },
      "kind": "paragraph",
      "text": "Data-monetization business as a % of total revenue for exchanges with data services",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "098f0806-9b54-47f2-830e-3d1037acda86",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.015,
        "w": 0.43,
        "x": 0.403,
        "y": 0.812
      },
      "kind": "source-note",
      "text": "Source: Accenture Research analysis of data from S&P Capital IQ on leading global exchanges.",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "6ff49def-764b-434c-a39b-5ad8567075e6",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.025,
        "w": 0.155,
        "x": 0.487,
        "y": 0.148
      },
      "kind": "title",
      "text": "Show me the data",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "8108d478-1655-465a-bf87-bae70d8036bc",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [
    {
      "metricRaw": "Data monetization share of total revenue",
      "numberRaw": "45%",
      "numberKind": "percent",
      "actionTitle": null,
      "calloutText": "Understanding customers' needs is, of course, only one requirement for building a data-provisioning business. Our interviewees also highlighted the need to develop the right talent and organizational culture when building a data business.",
      "numberScale": null,
      "numberValue": 45,
      "metricFamily": "share_penetration",
      "numberCurrency": null
    }
  ],
  "tools": [
    {
      "name": "Action Titles",
      "slug": "action-titles",
      "agent": "Architect",
      "layer": "slide",
      "matchId": "019dd95a-0c43-7422-b2f6-d9e51f561a5c",
      "evidence": "'Show me the data' positions analysis as data-services proof",
      "confidence": 75
    },
    {
      "name": "Annotation",
      "slug": "annotation",
      "agent": "Designer",
      "layer": "slide",
      "matchId": "019dd95a-0c43-7422-b2f6-dc4ed1e140ed",
      "evidence": "Inventory flags 45% callout on chart",
      "confidence": 70
    },
    {
      "name": "Chart Selection Guide",
      "slug": "chart-selection-guide",
      "agent": "Designer",
      "layer": "slide",
      "matchId": "fdc9e4d1-5692-430a-b09e-426000ce6a16",
      "evidence": "Stacked bar chart showing revenue split between Data Monetization and Non-Data Revenue from 2014-2023",
      "confidence": 0.6
    }
  ],
  "frameworks": [],
  "arcBeats": [
    {
      "to": 31,
      "from": 23,
      "beatId": "019dd95a-0680-7418-820a-6073fb4afbbb",
      "arcName": "The Consultant's Gambit",
      "arcSlug": "consultants-gambit",
      "beatName": "Evidence & Proof",
      "beatSlug": "consultants-gambit-evidence-proof",
      "evidence": "Revenue-mix chart, survey data, green-bond and carbon evidence",
      "position": 4,
      "confidence": 90,
      "parentBeatName": "Evidence",
      "parentBeatSlug": "evidence"
    },
    {
      "to": 31,
      "from": 10,
      "beatId": "019dd95a-0680-7418-820a-7161d37dbb94",
      "arcName": "The Transformation Tale",
      "arcSlug": "transformation-tale",
      "beatName": "The Bridge",
      "beatSlug": "transformation-tale-the-bridge",
      "evidence": "Four-step reinvention path with proof points",
      "position": 3,
      "confidence": 60,
      "parentBeatName": "Resolution",
      "parentBeatSlug": "resolution"
    }
  ],
  "loops": [
    {
      "to": 28,
      "from": 24,
      "name": "Before After",
      "slug": "21-before-after",
      "bestFor": "Product demos, process improvements, ROI justification",
      "matchId": "019dd95a-07fd-712f-b773-df964953d495",
      "evidence": "p.24 stacked bars 76/24 → 24% non-trad, p.25 expected 1/2/3-yr trajectory, p.26-28 capabilities to capture data revenue.",
      "position": 5,
      "objective": "Show revenue mix shifting from traditional to non-traditional services",
      "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta",
      "confidence": 80,
      "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}