{
  "docId": "019dd923-5ca1-7489-b637-1051694cd124",
  "docSlug": "31c7d255180a14bd",
  "documentTitle": "GenAI retail commercial banking",
  "authorId": "EY",
  "authorName": "EY",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.778,
  "pageNumber": 22,
  "pageCount": 26,
  "prevPage": 21,
  "nextPage": 23,
  "slideType": "data_table",
  "function": "analyze_data",
  "density": "balanced",
  "nDataPoints": 20,
  "notes": "The slide presents two side-by-side horizontal bar charts showing survey results for retail banks (n=87) and commercial banks (n=64).",
  "elementsJson": [
    "bar_chart_horizontal",
    "bar_chart_horizontal"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5ca1-7489-b637-1051694cd124/22",
  "deckHref": "/decks/019dd923-5ca1-7489-b637-1051694cd124",
  "deckJsonHref": "/decks/019dd923-5ca1-7489-b637-1051694cd124.json",
  "deckAnchorHref": "/decks/019dd923-5ca1-7489-b637-1051694cd124#slide-22",
  "components": [
    {
      "bbox": null,
      "kind": "callout",
      "text": "Where do you expect to prioritize investment across back-office functions? Select all that apply",
      "attrs": null,
      "subkind": null,
      "toolName": "Visual emphasis",
      "toolSlug": "visual-emphasis",
      "confidence": null,
      "componentId": "019dd951-c23d-70a9-9e94-4fbeb0fb1523",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.6,
        "w": 0.4,
        "x": 0.07,
        "y": 0.25
      },
      "kind": "chart",
      "text": "Retail banks investment priorities",
      "attrs": null,
      "subkind": "bar-horizontal",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "bedb4ad8-3d36-4a97-ac37-e06362fcb4a8",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.6,
        "w": 0.4,
        "x": 0.53,
        "y": 0.25
      },
      "kind": "chart",
      "text": "Commercial banks investment priorities",
      "attrs": null,
      "subkind": "bar-horizontal",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "fc09032f-a05e-451a-9bc4-0fc52748840d",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "metric",
      "text": "Investment priority: 75%",
      "attrs": null,
      "subkind": "primary",
      "toolName": "Quantification",
      "toolSlug": "quantification",
      "confidence": null,
      "componentId": "019dd951-c23d-70a9-9e94-52dd98d201bc",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.03,
        "w": 0.35,
        "x": 0.05,
        "y": 0.95
      },
      "kind": "source-note",
      "text": "Source: EY Parthenon Retail and Commercial Banking GenAI Survey July 2023 (n=151)",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "6ed2ddd5-e8ce-482d-ba0e-5b3b8d5655eb",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.5,
        "x": 0.05,
        "y": 0.04
      },
      "kind": "title",
      "text": "Top back-office use cases for retail and commercial banks",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "e44a922c-a593-41a0-a95f-d120df0c5086",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [
    {
      "metricRaw": "Investment priority",
      "numberRaw": "75%",
      "numberKind": "percent",
      "actionTitle": null,
      "calloutText": "Where do you expect to prioritize investment across back-office functions? Select all that apply",
      "numberScale": null,
      "numberValue": 75,
      "metricFamily": "survey_sentiment",
      "numberCurrency": null
    }
  ],
  "tools": [],
  "frameworks": [],
  "arcBeats": [
    {
      "to": 22,
      "from": 15,
      "beatId": "bd278ee7-f28c-44d7-9847-9b760a463ea7",
      "arcName": "The Consultant's Gambit",
      "arcSlug": "consultants-gambit",
      "beatName": "Impact & Next Steps",
      "beatSlug": "consultants-gambit-impact-next-steps",
      "evidence": "The deck discusses implications and future directions for GenAI in retail and commercial banking",
      "position": 3,
      "confidence": 0.8,
      "parentBeatName": "Resolution",
      "parentBeatSlug": "resolution"
    }
  ],
  "loops": [],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}