{
  "docId": "019dd923-5e88-73ef-bd5d-63894b9937cd",
  "docSlug": "0523405c73c7b809",
  "documentTitle": "2025 Rise with RISE Upskill Today for a Digital First Tomorrow",
  "authorId": "BCG",
  "authorName": "BCG",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.777,
  "pageNumber": 13,
  "pageCount": 46,
  "prevPage": 12,
  "nextPage": 14,
  "slideType": "strategic_options",
  "function": "compare_options",
  "density": "dense",
  "nDataPoints": 0,
  "notes": "The slide uses a side-by-side comparison structure to help users choose a career path.",
  "elementsJson": [
    "headline_text",
    "bullet_list",
    "process_diagram",
    "icon_grid"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5e88-73ef-bd5d-63894b9937cd/13",
  "deckHref": "/decks/019dd923-5e88-73ef-bd5d-63894b9937cd",
  "deckJsonHref": "/decks/019dd923-5e88-73ef-bd5d-63894b9937cd.json",
  "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-63894b9937cd#slide-13",
  "components": [
    {
      "bbox": {
        "h": 0.2,
        "w": 0.45,
        "x": 0.08,
        "y": 0.38
      },
      "kind": "list",
      "text": "Data Analyst track: Business & digital foundations, Data analytics foundation and advanced courses, Preparation for technical interviews, Hands-on experience with Gen AI, Real-world data analytics case studies",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "08794546-5636-4a36-a385-8c0d7991ff13",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.2,
        "w": 0.45,
        "x": 0.08,
        "y": 0.68
      },
      "kind": "list",
      "text": "Functional Analyst/Manager track: Business & digital foundations, Data analytics foundation, Low code/no code analytics, Functional use of Gen AI, Real-world data analytics case studies",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "a5780c8c-469c-4fb3-aae4-3ade71d51fa2",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.03,
        "w": 0.4,
        "x": 0.06,
        "y": 0.15
      },
      "kind": "paragraph",
      "text": "*DA track available for part time/full time; FA only for part time",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "22e4ea52-7bd9-4e92-afcc-ac74e9744270",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.15,
        "w": 0.3,
        "x": 0.61,
        "y": 0.35
      },
      "kind": "paragraph",
      "text": "Data analyst: Role: Identify key metrics across org; prepare reporting dashboards. Skills required: Structured problem solving, hands-on knowledge of data analytics tools",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "4a160eb3-b281-4aaf-989e-746eff809ce5",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.15,
        "w": 0.3,
        "x": 0.61,
        "y": 0.65
      },
      "kind": "paragraph",
      "text": "Functional analyst/manager: Role: Support functional leadership with data-driven decision making. Skills required: Structure problem solving, functional expertise, application of data analytics to functional use cases",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "4b86c866-0c5d-4190-b642-debe84d2ba9e",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.8,
        "x": 0.06,
        "y": 0.09
      },
      "kind": "title",
      "text": "Choose between Data Analyst (DA) or Functional Analyst (FA/M)",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "699ad5b8-6cab-4a2b-8c33-d2b362ed1de4",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [
    {
      "name": "Law of Similarity",
      "slug": "law-of-similarity",
      "agent": "Designer",
      "layer": "slide",
      "matchId": "019dd95a-121f-71e6-8e8d-c0a72ee6b06e",
      "evidence": "Two parallel option panels",
      "confidence": 65
    },
    {
      "name": "Visual Hierarchy",
      "slug": "visual-hierarchy",
      "agent": "Designer",
      "layer": "slide",
      "matchId": "019dd95a-121f-71e6-8e8d-bddb5d0f1147",
      "evidence": "Binary fork visual between Data Analyst vs Functional Analyst tracks",
      "confidence": 70
    }
  ],
  "frameworks": [],
  "arcBeats": [
    {
      "to": 40,
      "from": 8,
      "beatId": "019dd95a-0701-77fe-ae97-eae1fe94ddac",
      "arcName": "AIDA",
      "arcSlug": "aida",
      "beatName": "Desire",
      "beatSlug": "aida-desire",
      "evidence": "Course comparison, BDA deep dive, curriculum, trainers, certificate, fees",
      "position": 3,
      "confidence": 80,
      "parentBeatName": "Evidence",
      "parentBeatSlug": "evidence"
    },
    {
      "to": 30,
      "from": 6,
      "beatId": "019dd95a-0701-77fe-ae97-f9642f6216fc",
      "arcName": "Monroe's Motivated Sequence",
      "arcSlug": "monroes-sequence",
      "beatName": "Satisfaction",
      "beatSlug": "monroes-sequence-satisfaction",
      "evidence": "Programme overview, curriculum modules, capstone",
      "position": 3,
      "confidence": 55,
      "parentBeatName": "Turn",
      "parentBeatSlug": "turn"
    }
  ],
  "loops": [
    {
      "to": 17,
      "from": 10,
      "name": "Zoom In",
      "slug": "06-zoom-in",
      "bestFor": "Technical deep-dives, case studies, detailed analysis",
      "matchId": "019dd95a-088b-72c8-b7e0-ab5d48e01a0c",
      "evidence": "BDA intro, learning outcomes, DA vs FA fork, journey map, learning model, tools",
      "position": 3,
      "objective": "Zoom from courses overview into BDA specifics",
      "structure": "The Big Picture -> Key Area of Focus -> Specific Detail -> Implication",
      "confidence": 75,
      "description": "Start broad, then progressively focus on specific details that prove your point"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}