{
  "docId": "019dd923-5e88-73ef-bd5d-3b57693a8c6b",
  "docSlug": "bbc9a0337f45ab4c",
  "documentTitle": "2024 Executive Perspectives Transformation through AI and GenAI",
  "authorId": "BCG",
  "authorName": "BCG",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.778,
  "pageNumber": 16,
  "pageCount": 23,
  "prevPage": 15,
  "nextPage": 17,
  "slideType": "implementation_plan",
  "function": "present_framework",
  "density": "balanced",
  "nDataPoints": 0,
  "notes": "The slide uses a 2x2 matrix to categorize data sources by structure (structured vs unstructured) and request type (requested vs unrequested).",
  "elementsJson": [
    "headline_text",
    "callout_box",
    "matrix_2x2",
    "paragraph"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5e88-73ef-bd5d-3b57693a8c6b/16",
  "deckHref": "/decks/019dd923-5e88-73ef-bd5d-3b57693a8c6b",
  "deckJsonHref": "/decks/019dd923-5e88-73ef-bd5d-3b57693a8c6b.json",
  "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-3b57693a8c6b#slide-16",
  "components": [
    {
      "bbox": {
        "h": 0.15,
        "w": 0.9,
        "x": 0.05,
        "y": 0.22
      },
      "kind": "callout",
      "text": "The insights curator: The future of insights goes beyond responding to data requests. Instead, it will involve curating insights from a broad range of sources—structured or unstructured, requested or not—to drive more holistic, customer-centric decision making",
      "attrs": null,
      "subkind": "primary",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "bfbb573f-99f2-49fd-830d-7ecac956dccc",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.48,
        "w": 0.48,
        "x": 0.08,
        "y": 0.42
      },
      "kind": "framework",
      "text": "2x2 matrix of data sources",
      "attrs": null,
      "subkind": "instance",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "3034b298-ada4-4eb0-aec5-3f1a54f0449c",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "framework",
      "text": "2x2 Matrix",
      "attrs": null,
      "subkind": null,
      "toolName": "Structuring frame",
      "toolSlug": "structuring-frame",
      "confidence": null,
      "componentId": "019dd952-47c7-738e-b70e-530dd5fabb5b",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.45,
        "w": 0.3,
        "x": 0.65,
        "y": 0.42
      },
      "kind": "paragraph",
      "text": "A new approach to customer insights. Customer insights are not just about gathering data on demand. Today's focus is on combining human expertise with AI to curate and synthesize data from multiple sources, enabling more informed, customer-centric decisions",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "773e175b-281e-446b-be19-2173ab6dad6c",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.08,
        "w": 0.8,
        "x": 0.05,
        "y": 0.03
      },
      "kind": "title",
      "text": "Path to implementation | Shift the insights function from data requestor to insights curator for customer-centric growth",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "beea8bee-9ac2-4fc4-9c0f-78fc81d98ff6",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [
    {
      "name": "2x2 matrix",
      "slug": "matrix-2x2",
      "agent": null,
      "layer": "slide",
      "matchId": "d13cd0b6-1b75-403c-a045-538832713f55",
      "evidence": "2x2 matrix of data sources",
      "confidence": 0.7
    },
    {
      "name": "Action Titles",
      "slug": "action-titles",
      "agent": "Architect",
      "layer": "slide",
      "matchId": "019dd95a-1155-76cc-9e40-cfa8720bc1ef",
      "evidence": "'Shift the insights function from data requestor to insights curator'",
      "confidence": 85
    },
    {
      "name": "Contrast Principle",
      "slug": "contrast-principle",
      "agent": "Designer",
      "layer": "slide",
      "matchId": "019dd95a-1155-76cc-9e40-d581739f0466",
      "evidence": "Yellow 'AI and human expertise' badge stands out over green/blue grid",
      "confidence": 70
    },
    {
      "name": "Core Message Extraction",
      "slug": "core-message-extraction",
      "agent": "Architect",
      "layer": "slide",
      "matchId": "019dd95a-1155-76cc-9e40-d9a9099a7e4b",
      "evidence": "Top callout distills 'curating insights' as core idea",
      "confidence": 70
    },
    {
      "name": "Gestalt Principles",
      "slug": "gestalt-principles",
      "agent": "Designer",
      "layer": "slide",
      "matchId": "019dd95a-1155-76cc-9e40-d2f7221aa635",
      "evidence": "Quadrants use enclosure + similar styling to group related data types",
      "confidence": 80
    }
  ],
  "frameworks": [
    {
      "name": "2x2 Matrix",
      "slug": null,
      "matchId": "019dd95a-1ca5-70bb-bba3-0aa1bab0b4fd",
      "evidence": "Axes: Structured/Unstructured (Y) x Requested/Unrequested (X) with 4 quadrants",
      "confidence": 90
    },
    {
      "name": "matrix-2x2",
      "slug": null,
      "matchId": "15d9e1fe-0b59-48d6-82b9-43b5eafa4825",
      "evidence": "The slide uses a 2x2 grid to categorize data types based on two axes: Requested/Unrequested and Structured/Unstructured.",
      "confidence": 1
    }
  ],
  "arcBeats": [
    {
      "to": 21,
      "from": 16,
      "beatId": "019dd95a-0682-776c-8e39-8581934ae6d8",
      "arcName": "The Consultant's Gambit",
      "arcSlug": "consultants-gambit",
      "beatName": "Impact & Next Steps",
      "beatSlug": "consultants-gambit-impact-next-steps",
      "evidence": "'Path to implementation' pages on insights, vendors, org, architecture, risk + 4-step CTA",
      "position": 5,
      "confidence": 90,
      "parentBeatName": "Resolution",
      "parentBeatSlug": "resolution"
    },
    {
      "to": 21,
      "from": 16,
      "beatId": "019dd95a-0682-776c-8e39-9173bc091f85",
      "arcName": "The Triple Take",
      "arcSlug": "triple-take",
      "beatName": "The Action (Now What)",
      "beatSlug": "triple-take-the-action-now-what",
      "evidence": "Path to implementation pages + Call to action",
      "position": 3,
      "confidence": 60,
      "parentBeatName": "Resolution",
      "parentBeatSlug": "resolution"
    }
  ],
  "loops": [
    {
      "to": 20,
      "from": 16,
      "name": "Build Up",
      "slug": "33-build-up",
      "bestFor": "Pricing justification, cost estimation, market sizing",
      "matchId": "019dd95a-088b-72c8-b7df-a3105bab7862",
      "evidence": "Five 'Path to implementation' slides: insights org (p16), vendors (p17), team structures (p18), architecture (p19), risk practices (p20)",
      "position": 3,
      "objective": "Stack the implementation components needed to deliver the GenAI transformation",
      "structure": "The Base -> Add Component A -> Add Component B -> Add Component C -> The Total",
      "confidence": 75,
      "description": "Start from zero and add components to arrive at a total"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}