{
  "kind": "framework",
  "value": "map-spatial",
  "collectionKey": "slides:framework:map-spatial:all-document-kinds:all-producers:all-orientations",
  "filters": {
    "documentKinds": [],
    "sourceTypes": [],
    "orientations": []
  },
  "total": 1067,
  "page": 1,
  "pageSize": 24,
  "pageCount": 45,
  "rows": [
    {
      "docId": "019dd923-5ca1-7489-b635-946e3acc8f1c",
      "docSlug": "17fb3bc69445299f",
      "documentTitle": "Altagamma 2017 Worldwide Luxury Market Monitor",
      "authorId": "Bain",
      "authorName": "Bain",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 10,
      "slideType": "geographic_map",
      "function": "summarize",
      "notes": "Uses a dot-matrix world map background with red circular callouts for regional data. Includes a legend for trend indicators (up, flat, down) and consumer types (locals vs tourists).",
      "imagePath": null,
      "matchCount": 1,
      "evidence": "Geographic distribution of market data",
      "slideHref": "/slides/019dd923-5ca1-7489-b635-946e3acc8f1c/10",
      "deckHref": "/decks/019dd923-5ca1-7489-b635-946e3acc8f1c",
      "deckAnchorHref": "/decks/019dd923-5ca1-7489-b635-946e3acc8f1c#slide-10",
      "loopMatches": [
        {
          "to": 13,
          "from": 7,
          "name": "Before After",
          "slug": "21-before-after",
          "bestFor": "Product demos, process improvements, ROI justification",
          "matchId": "019dd95a-088c-724c-b311-0633af395c82",
          "evidence": "Section literally framed 'after 2016 stagnation, healthier new normal'; 4-5% outlook closes the loop.",
          "position": 3,
          "objective": "Contrast 2016 stagnation with 2017 healthier new normal",
          "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta",
          "confidence": 78,
          "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 28,
          "from": 4,
          "beatId": "019dd95a-0702-74a3-87e5-875bcf9357e0",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Market sizing, growth metrics, geographies, channels — raw data establishing the state of luxury.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 30,
          "from": 7,
          "beatId": "019dd95a-0702-74a3-87e5-97f32f017997",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Problem & Complication",
          "beatSlug": "consultants-gambit-problem-complication",
          "evidence": "Healthier/Universal/Ecosystemic/Post-aspirational sections describe the changing landscape.",
          "position": 2,
          "confidence": 62,
          "parentBeatName": "Complication",
          "parentBeatSlug": "complication"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5ca1-7489-b635-946e3acc8f1c",
      "docSlug": "17fb3bc69445299f",
      "documentTitle": "Altagamma 2017 Worldwide Luxury Market Monitor",
      "authorId": "Bain",
      "authorName": "Bain",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 11,
      "slideType": "geographic_map",
      "function": "quantify_impact",
      "notes": "Uses a stylized dot-matrix world map background with red circular callouts for regional data.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": "Geographic distribution of data points on a world map",
      "slideHref": "/slides/019dd923-5ca1-7489-b635-946e3acc8f1c/11",
      "deckHref": "/decks/019dd923-5ca1-7489-b635-946e3acc8f1c",
      "deckAnchorHref": "/decks/019dd923-5ca1-7489-b635-946e3acc8f1c#slide-11",
      "loopMatches": [
        {
          "to": 13,
          "from": 7,
          "name": "Before After",
          "slug": "21-before-after",
          "bestFor": "Product demos, process improvements, ROI justification",
          "matchId": "019dd95a-088c-724c-b311-0633af395c82",
          "evidence": "Section literally framed 'after 2016 stagnation, healthier new normal'; 4-5% outlook closes the loop.",
          "position": 3,
          "objective": "Contrast 2016 stagnation with 2017 healthier new normal",
          "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta",
          "confidence": 78,
          "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 28,
          "from": 4,
          "beatId": "019dd95a-0702-74a3-87e5-875bcf9357e0",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Market sizing, growth metrics, geographies, channels — raw data establishing the state of luxury.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 30,
          "from": 7,
          "beatId": "019dd95a-0702-74a3-87e5-97f32f017997",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Problem & Complication",
          "beatSlug": "consultants-gambit-problem-complication",
          "evidence": "Healthier/Universal/Ecosystemic/Post-aspirational sections describe the changing landscape.",
          "position": 2,
          "confidence": 62,
          "parentBeatName": "Complication",
          "parentBeatSlug": "complication"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5ca1-7489-b635-9f74c35385f1",
      "docSlug": "4bb31e88e640882d",
      "documentTitle": "Altagamma 2019 Worldwide Luxury Market Monitor",
      "authorId": "Bain",
      "authorName": "Bain",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 24,
      "slideType": "geographic_map",
      "function": "size_opportunity",
      "notes": "The slide uses a map-based visualization to show regional percentages of UHNWI customers and a bar chart to show their total market share.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": "Geographic distribution of UHNWI customers",
      "slideHref": "/slides/019dd923-5ca1-7489-b635-9f74c35385f1/24",
      "deckHref": "/decks/019dd923-5ca1-7489-b635-9f74c35385f1",
      "deckAnchorHref": "/decks/019dd923-5ca1-7489-b635-9f74c35385f1#slide-24",
      "loopMatches": [
        {
          "to": 27,
          "from": 23,
          "name": "Segmentation Split",
          "slug": "34-segmentation-split",
          "bestFor": "Customer analysis, market research, resource allocation",
          "matchId": "019dd95a-088c-724c-b313-0c94cfae3eda",
          "evidence": "p.24 UHNWI=30%; p.26 entry-price expansion; p.27 off-price channel growth",
          "position": 6,
          "objective": "Split customer base by spending power (UHNWI vs entry-price vs off-price)",
          "structure": "The Aggregate View -> Segment A Behavior -> Segment B Behavior -> The Insight in the Difference",
          "confidence": 80,
          "description": "Divide a whole into meaningful segments to reveal hidden patterns"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 35,
          "from": 23,
          "beatId": "019dd95a-07a5-761b-9144-5d3e38e19b17",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "Deeper Layer",
          "beatSlug": "onion-deeper-layer",
          "evidence": "Customer is Diverse/Open — segment dynamics and disruption",
          "position": 3,
          "confidence": 75,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        },
        {
          "to": 41,
          "from": 5,
          "beatId": "019dd95a-07a5-761b-9144-6e7bee705bc3",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Implications (So What)",
          "beatSlug": "triple-take-the-implications-so-what",
          "evidence": "Seven customer-trait sections with evidence",
          "position": 2,
          "confidence": 65,
          "parentBeatName": "Reflection",
          "parentBeatSlug": "reflection"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5ca1-7489-b636-56bec387eb05",
      "docSlug": "da4fa54379372b2e",
      "documentTitle": "CEOs ready to face up to crises",
      "authorId": "Deloitte",
      "authorName": "Deloitte",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.778,
      "pageNumber": 10,
      "slideType": "geographic_map",
      "function": "establish_context",
      "notes": "The slide uses a choropleth map to visualize survey data on investment attractiveness.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": "Choropleth map used to visualize regional data.",
      "slideHref": "/slides/019dd923-5ca1-7489-b636-56bec387eb05/10",
      "deckHref": "/decks/019dd923-5ca1-7489-b636-56bec387eb05",
      "deckAnchorHref": "/decks/019dd923-5ca1-7489-b636-56bec387eb05#slide-10",
      "loopMatches": [
        {
          "to": 11,
          "from": 5,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019de795-f2a7-71ff-9de9-780c5098befa",
          "evidence": "Stacked evidence: confidence chart (6), COVID measures (7), Ukraine impact (8), risks (9), attractiveness (10), AfCFTA (11).",
          "position": 1,
          "objective": "Multiple data points -> confidence persists despite risk landscape",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 65,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 11,
          "from": 7,
          "beatId": "019de795-f17b-7318-89ac-16ccf19d23a7",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Problem & Complication",
          "beatSlug": null,
          "evidence": "COVID impact, Ukraine shock, top risks, AfCFTA limited",
          "position": 2,
          "confidence": 55,
          "parentBeatName": null,
          "parentBeatSlug": null
        },
        {
          "to": 23,
          "from": 4,
          "beatId": "019de795-f238-75aa-b88a-c4157740253a",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": null,
          "evidence": "context, risks, CEO testimonials",
          "position": 1,
          "confidence": 50,
          "parentBeatName": null,
          "parentBeatSlug": null
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5ca1-7489-b636-56bec387eb05",
      "docSlug": "da4fa54379372b2e",
      "documentTitle": "CEOs ready to face up to crises",
      "authorId": "Deloitte",
      "authorName": "Deloitte",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.778,
      "pageNumber": 47,
      "slideType": "appendix_methodology",
      "function": "present_framework",
      "notes": "The slide uses a map-based visualization to show the distribution of survey respondents across different African regions.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": "Geographic distribution of data points on a map",
      "slideHref": "/slides/019dd923-5ca1-7489-b636-56bec387eb05/47",
      "deckHref": "/decks/019dd923-5ca1-7489-b636-56bec387eb05",
      "deckAnchorHref": "/decks/019dd923-5ca1-7489-b636-56bec387eb05#slide-47",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 53,
          "from": 45,
          "beatId": "019de795-f1ea-76c5-8fdd-d8c065a6d449",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Impact & Next Steps",
          "beatSlug": null,
          "evidence": "methodology, acknowledgements, About Deloitte contact",
          "position": 5,
          "confidence": 55,
          "parentBeatName": null,
          "parentBeatSlug": null
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5ca1-7489-b634-5a55be860a0c",
      "docSlug": "2175b6c0e7a3a0e6",
      "documentTitle": "Changing automotive work environment: Job effects in Germany until 2030",
      "authorId": "BCG",
      "authorName": "BCG",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.778,
      "pageNumber": 10,
      "slideType": "geographic_map",
      "function": "quantify_impact",
      "notes": "The slide uses a map-based visualization to show regional job growth/decline projections between 2019 and 2030.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": "Geographic map used to segment data by region",
      "slideHref": "/slides/019dd923-5ca1-7489-b634-5a55be860a0c/10",
      "deckHref": "/decks/019dd923-5ca1-7489-b634-5a55be860a0c",
      "deckAnchorHref": "/decks/019dd923-5ca1-7489-b634-5a55be860a0c#slide-10",
      "loopMatches": [
        {
          "to": 10,
          "from": 7,
          "name": "Mece Breakdown",
          "slug": "40-mece-breakdown",
          "bestFor": "Problem structuring, ensuring completeness, strategic analysis",
          "matchId": "019dd95a-088b-72c8-b7e2-ac18081ad9d8",
          "evidence": "p7 explicitly enumerates 3 perspectives (time, industries/job families, regions); p8-10 deliver each.",
          "position": 2,
          "objective": "Decompose the transition into three distinct, exhaustive perspectives",
          "structure": "The Whole -> Category A (distinct) -> Category B (distinct) -> Category C (distinct) -> Complete Coverage",
          "confidence": 88,
          "description": "Divide a complex topic into mutually exclusive, collectively exhaustive categories"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 10,
          "from": 8,
          "beatId": "019dd95a-0702-74a3-87da-886f3fa613ac",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Evidence & Proof",
          "beatSlug": "consultants-gambit-evidence-proof",
          "evidence": "Time, industry/job-family, regional data slides",
          "position": 4,
          "confidence": 92,
          "parentBeatName": "Evidence",
          "parentBeatSlug": "evidence"
        },
        {
          "to": 10,
          "from": 6,
          "beatId": "019dd95a-0702-74a3-87da-96115207e4cd",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Implications (So What)",
          "beatSlug": "triple-take-the-implications-so-what",
          "evidence": "Shifts between industries seen via 3 lenses",
          "position": 2,
          "confidence": 70,
          "parentBeatName": "Reflection",
          "parentBeatSlug": "reflection"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5ca1-7489-b635-a487f65f15a8",
      "docSlug": "b3d9633a43b0e706",
      "documentTitle": "China Luxury Digital Playbook",
      "authorId": "Bain",
      "authorName": "BCG",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.778,
      "pageNumber": 16,
      "slideType": "geographic_map",
      "function": "illustrate_case",
      "notes": "The slide uses a map to justify a marketing strategy focused on high-tier cities by highlighting the proximity and travel patterns of consumers in lower-tier cities.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": "Geographic visualization of city clusters in China",
      "slideHref": "/slides/019dd923-5ca1-7489-b635-a487f65f15a8/16",
      "deckHref": "/decks/019dd923-5ca1-7489-b635-a487f65f15a8",
      "deckAnchorHref": "/decks/019dd923-5ca1-7489-b635-a487f65f15a8#slide-16",
      "loopMatches": [
        {
          "to": 17,
          "from": 9,
          "name": "So What Cascade",
          "slug": "41-so-what-cascade",
          "bestFor": "Data presentations, executive summaries, driving to recommendations",
          "matchId": "019dd95a-088c-724c-b311-aea46590eb97",
          "evidence": "p9 lists the 6 trends as headline insights; p10-17 deliver one data-driven 'so what' per trend.",
          "position": 3,
          "objective": "Preview six trends, then march through evidence for each",
          "structure": "The Data -> So What? (Insight 1) -> So What? (Insight 2) -> So What? (The Action)",
          "confidence": 75,
          "description": "Chain insights together, each answering 'so what?' until you reach the actionable conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 17,
          "from": 10,
          "beatId": "019dd95a-0702-74a3-87e6-473bbb8a12a2",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Evidence & Proof",
          "beatSlug": "consultants-gambit-evidence-proof",
          "evidence": "Each of the 6 trends backed by data slides 10-17",
          "position": 4,
          "confidence": 82,
          "parentBeatName": "Evidence",
          "parentBeatSlug": "evidence"
        },
        {
          "to": 17,
          "from": 9,
          "beatId": "019dd95a-0702-74a3-87e6-5073009a930f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Implications (So What)",
          "beatSlug": "triple-take-the-implications-so-what",
          "evidence": "Six trends re-defining luxury digital, each evidenced",
          "position": 2,
          "confidence": 65,
          "parentBeatName": "Reflection",
          "parentBeatSlug": "reflection"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5ca1-7489-b634-5d89529e8c57",
      "docSlug": "0531041e5c74bb5b",
      "documentTitle": "Climate Change: BCG’s Perspectives and Offerings",
      "authorId": "BCG",
      "authorName": "BCG",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.778,
      "pageNumber": 22,
      "slideType": "geographic_map",
      "function": "quantify_impact",
      "notes": "The slide uses flags to represent countries and pairs them with investment percentage ranges relative to GDP.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": "Geographic distribution of investment data",
      "slideHref": "/slides/019dd923-5ca1-7489-b634-5d89529e8c57/22",
      "deckHref": "/decks/019dd923-5ca1-7489-b634-5d89529e8c57",
      "deckAnchorHref": "/decks/019dd923-5ca1-7489-b634-5d89529e8c57#slide-22",
      "loopMatches": [
        {
          "to": 22,
          "from": 20,
          "name": "Myth Buster",
          "slug": "12-myth-buster",
          "bestFor": "Rebranding, changing market perception, correcting false assumptions",
          "matchId": "019dd95a-088b-72c8-b7e2-c6ff5e1d04e5",
          "evidence": "'Fear is overstated' → 'Clear economic case' → 'But: enormous investment challenge'",
          "position": 5,
          "objective": "correct the competitiveness fear and balance it",
          "structure": "The Common Belief -> The Friction/Failure of that Belief -> The New Truth",
          "confidence": 72,
          "description": "Address a common misconception head-on to clear the room for a new truth"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 25,
          "from": 20,
          "beatId": "019dd95a-0702-74a3-87da-a8a942519261",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Evidence & Proof",
          "beatSlug": "consultants-gambit-evidence-proof",
          "evidence": "Competitiveness myth, economic case, sector regulation framework",
          "position": 4,
          "confidence": 82,
          "parentBeatName": "Evidence",
          "parentBeatSlug": "evidence"
        },
        {
          "to": 25,
          "from": 16,
          "beatId": "019dd95a-0702-74a3-87da-b4193903c853",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Implications (So What)",
          "beatSlug": "triple-take-the-implications-so-what",
          "evidence": "Paths, technologies, economic and regulatory case",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Reflection",
          "parentBeatSlug": "reflection"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5ca1-7489-b632-fc7f78e76a18",
      "docSlug": "25cda12aac1298b5",
      "documentTitle": "Commercial payments, reinvented Your blueprint for accelerating payments revenue growth",
      "authorId": "Accenture",
      "authorName": "Accenture",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.778,
      "pageNumber": 37,
      "slideType": "appendix_methodology",
      "function": "establish_context",
      "notes": "The slide uses a map-based visualization to show the number of survey respondents by region and specific country.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": "Geographic distribution of survey respondents",
      "slideHref": "/slides/019dd923-5ca1-7489-b632-fc7f78e76a18/37",
      "deckHref": "/decks/019dd923-5ca1-7489-b632-fc7f78e76a18",
      "deckAnchorHref": "/decks/019dd923-5ca1-7489-b632-fc7f78e76a18#slide-37",
      "loopMatches": [],
      "arcBeatMatches": [],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5ca1-7489-b634-f82b85203458",
      "docSlug": "7801cb245682af20",
      "documentTitle": "Economic Impact of Ford and F-Series",
      "authorId": "BCG",
      "authorName": "BCG",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.778,
      "pageNumber": 24,
      "slideType": "geographic_map",
      "function": "quantify_impact",
      "notes": "The chart is a dot plot representing the number of states where each vehicle is the best-seller.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": "Geographic representation of data across US states.",
      "slideHref": "/slides/019dd923-5ca1-7489-b634-f82b85203458/24",
      "deckHref": "/decks/019dd923-5ca1-7489-b634-f82b85203458",
      "deckAnchorHref": "/decks/019dd923-5ca1-7489-b634-f82b85203458#slide-24",
      "loopMatches": [
        {
          "to": 27,
          "from": 21,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-088b-72c8-b7e3-7d5a977c952b",
          "evidence": "Bigger than Android/sports (p.21), more revenue than recognizable companies (p.22), most popular (p.23), 39 of 50 states (p.24), highest-selling 10 years (p.25-26), 75% of vocations (p.27).",
          "position": 4,
          "objective": "Stack usage superlatives to prove dominance",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 82,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 27,
          "from": 6,
          "beatId": "019dd95a-0702-74a3-87db-70375fde4e94",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Evidence & Proof",
          "beatSlug": "consultants-gambit-evidence-proof",
          "evidence": "Four evidence blocks: Employment, GDP, Manufacturing, Usage with quantitative proof.",
          "position": 4,
          "confidence": 62,
          "parentBeatName": "Evidence",
          "parentBeatSlug": "evidence"
        },
        {
          "to": 27,
          "from": 6,
          "beatId": "019dd95a-0702-74a3-87db-78b21ffcc1de",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Quantified evidence across employment, GDP, manufacturing, usage.",
          "position": 1,
          "confidence": 50,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5ca1-7489-b635-adfc12ca49c3",
      "docSlug": "ae08c24225199358",
      "documentTitle": "e-Conomy SEA 2020 At full velocity: Resilient and racing ahead",
      "authorId": "Bain",
      "authorName": "Bain",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.778,
      "pageNumber": 5,
      "slideType": "geographic_map",
      "function": "establish_context",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": "Geographic representation of data points",
      "slideHref": "/slides/019dd923-5ca1-7489-b635-adfc12ca49c3/5",
      "deckHref": "/decks/019dd923-5ca1-7489-b635-adfc12ca49c3",
      "deckAnchorHref": "/decks/019dd923-5ca1-7489-b635-adfc12ca49c3#slide-5",
      "loopMatches": [],
      "arcBeatMatches": [],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5ca1-7489-b635-b6dfc8ad9517",
      "docSlug": "215b51e86a19c4c2",
      "documentTitle": "e-Conomy SEA 2023 report: Indonesia",
      "authorId": "Bain",
      "authorName": "Google",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 11,
      "slideType": "geographic_map",
      "function": "analyze_data",
      "notes": "The slide uses two choropleth maps to visualize the digital divide between Jakarta and the rest of Indonesia.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": "Use of choropleth maps to visualize regional data distribution.",
      "slideHref": "/slides/019dd923-5ca1-7489-b635-b6dfc8ad9517/11",
      "deckHref": "/decks/019dd923-5ca1-7489-b635-b6dfc8ad9517",
      "deckAnchorHref": "/decks/019dd923-5ca1-7489-b635-b6dfc8ad9517#slide-11",
      "loopMatches": [
        {
          "to": 14,
          "from": 10,
          "name": "So What Cascade",
          "slug": "41-so-what-cascade",
          "bestFor": "Data presentations, executive summaries, driving to recommendations",
          "matchId": "019dd95a-088c-724c-b314-0571a1f08ca5",
          "evidence": "Pages 10-14 are 1:1 translations of pages 3-7 with identical chart logic.",
          "position": 2,
          "objective": "Indonesian-language repeat of the same data cascade",
          "structure": "The Data -> So What? (Insight 1) -> So What? (Insight 2) -> So What? (The Action)",
          "confidence": 70,
          "description": "Chain insights together, each answering 'so what?' until you reach the actionable conclusion"
        }
      ],
      "arcBeatMatches": [],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5ca1-7489-b635-c6d8f954507b",
      "docSlug": "952e48cb8fb044c2",
      "documentTitle": "e-Conomy SEA 2023 report: Thailand",
      "authorId": "Bain",
      "authorName": "Google",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 4,
      "slideType": "geographic_map",
      "function": "analyze_data",
      "notes": "The slide uses two choropleth maps to visualize regional disparities in digital participation.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": "Use of choropleth maps to visualize regional data distribution.",
      "slideHref": "/slides/019dd923-5ca1-7489-b635-c6d8f954507b/4",
      "deckHref": "/decks/019dd923-5ca1-7489-b635-c6d8f954507b",
      "deckAnchorHref": "/decks/019dd923-5ca1-7489-b635-c6d8f954507b#slide-4",
      "loopMatches": [
        {
          "to": 7,
          "from": 3,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-08f7-737a-a001-efae2809e86a",
          "evidence": "Five chart slides (market size, geo, DFS, HVU, funding) each present an evidence shard, no synthesis slide but cumulative pattern.",
          "position": 1,
          "objective": "Stack multiple evidence slides to build the pattern that Thailand has tailwinds with concentrated value pools",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 55,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 5,
          "from": 4,
          "beatId": "019dd95a-07a6-74c7-9026-e2b9d3773ea2",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "Deeper Layer",
          "beatSlug": "onion-deeper-layer",
          "evidence": "p4 geographic disparity + p5 DFS sub-sector breakdown",
          "position": 3,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5ca1-7489-b635-ca9d151658cd",
      "docSlug": "57a674f01ddd6d0d",
      "documentTitle": "e-Conomy SEA 2023 report: Vietnam",
      "authorId": "Bain",
      "authorName": "Google",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 11,
      "slideType": "geographic_map",
      "function": "analyze_data",
      "notes": "The slide uses two choropleth maps to visualize digital participation metrics.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": "Use of choropleth maps to visualize regional data distribution.",
      "slideHref": "/slides/019dd923-5ca1-7489-b635-ca9d151658cd/11",
      "deckHref": "/decks/019dd923-5ca1-7489-b635-ca9d151658cd",
      "deckAnchorHref": "/decks/019dd923-5ca1-7489-b635-ca9d151658cd#slide-11",
      "loopMatches": [
        {
          "to": 12,
          "from": 9,
          "name": "Zoom In",
          "slug": "06-zoom-in",
          "bestFor": "Technical deep-dives, case studies, detailed analysis",
          "matchId": "019dd95a-08f7-737a-a002-03e83513e83d",
          "evidence": "Pages 9-12 replay the English zoom-in in Vietnamese.",
          "position": 4,
          "objective": "Vietnamese mirror — overview → economy size → geography → DFS sectors",
          "structure": "The Big Picture -> Key Area of Focus -> Specific Detail -> Implication",
          "confidence": 70,
          "description": "Start broad, then progressively focus on specific details that prove your point"
        }
      ],
      "arcBeatMatches": [],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5ca1-7489-b636-3592447b6c32",
      "docSlug": "5d3dffe41a11bb5a",
      "documentTitle": "Everest Group RCM Operations",
      "authorId": "Cognizant",
      "authorName": "Everest Group",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.778,
      "pageNumber": 7,
      "slideType": "geographic_map",
      "function": "establish_context",
      "notes": "The map shows clusters of delivery centers in North America and South/Southeast Asia.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": "Geographic distribution of delivery centers",
      "slideHref": "/slides/019dd923-5ca1-7489-b636-3592447b6c32/7",
      "deckHref": "/decks/019dd923-5ca1-7489-b636-3592447b6c32",
      "deckAnchorHref": "/decks/019dd923-5ca1-7489-b636-3592447b6c32#slide-7",
      "loopMatches": [
        {
          "to": 10,
          "from": 5,
          "name": "Zoom In",
          "slug": "06-zoom-in",
          "bestFor": "Technical deep-dives, case studies, detailed analysis",
          "matchId": "019de78c-89c5-715e-b6d3-ff8dce27bf76",
          "evidence": "Six standardized profile pages drill from leadership to ops mix, geography, tech tables and capability scorecard.",
          "position": 2,
          "objective": "Zoom from company overview down to specific capabilities and assessment",
          "structure": "The Big Picture -> Key Area of Focus -> Specific Detail -> Implication",
          "confidence": 80,
          "description": "Start broad, then progressively focus on specific details that prove your point"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 9,
          "from": 5,
          "beatId": "019de78c-8859-73ed-a9af-fd8992eab5f4",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Evidence & Proof",
          "beatSlug": null,
          "evidence": "Six-page Cognizant profile: ops mix, geo, tech tables",
          "position": 4,
          "confidence": 60,
          "parentBeatName": null,
          "parentBeatSlug": null
        },
        {
          "to": 9,
          "from": 5,
          "beatId": "019de78c-8946-7019-89b9-bc095c90d5fc",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "Deeper Layer",
          "beatSlug": null,
          "evidence": "Profile drills into ops, geo, technology assets",
          "position": 3,
          "confidence": 45,
          "parentBeatName": null,
          "parentBeatSlug": null
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5ca1-7489-b633-15be43bf4625",
      "docSlug": "77f157094d06f0f2",
      "documentTitle": "Green by Default",
      "authorId": "Accenture",
      "authorName": "Accenture",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.778,
      "pageNumber": 6,
      "slideType": "geographic_map",
      "function": "establish_context",
      "notes": "The map uses a choropleth style to show levels of concern, with specific callouts providing context for the high concern levels in those regions.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": "Geographic representation of data",
      "slideHref": "/slides/019dd923-5ca1-7489-b633-15be43bf4625/6",
      "deckHref": "/decks/019dd923-5ca1-7489-b633-15be43bf4625",
      "deckAnchorHref": "/decks/019dd923-5ca1-7489-b633-15be43bf4625#slide-6",
      "loopMatches": [
        {
          "to": 7,
          "from": 4,
          "name": "Paradox Resolver",
          "slug": "20-paradox-resolver",
          "bestFor": "Strategic pivots, innovation pitches, challenging conventional wisdom",
          "matchId": "019dd95a-07fd-712f-b774-c782898c0e3f",
          "evidence": "p4 frames paradox, p5-6 show demand exists, p7 shows premium reluctance — sets up the 'deeper truth' the deck will deliver.",
          "position": 1,
          "objective": "Resolve the green goods paradox (high demand, low willingness to pay)",
          "structure": "The Apparent Contradiction -> Why Both Seem True -> The Deeper Truth That Reconciles",
          "confidence": 80,
          "description": "Introduce a seeming contradiction that captures attention, then resolve it with a deeper truth"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 7,
          "from": 4,
          "beatId": "019dd95a-0680-7418-820b-86906866fa20",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Situation & Context",
          "beatSlug": "consultants-gambit-situation-context",
          "evidence": "$10.3T green opportunity, demand patterns by region, willingness-to-pay data",
          "position": 1,
          "confidence": 90,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 10,
          "from": 4,
          "beatId": "019dd95a-0680-7418-820b-9bdee4b5bbda",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Market data, paradox stats, segmentation findings",
          "position": 1,
          "confidence": 70,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5ca1-7489-b634-d42adb9ada21",
      "docSlug": "f48d45408c26f5a2",
      "documentTitle": "Loose dogs in Dallas Strategic Recommendations",
      "authorId": "BCG",
      "authorName": "BCG",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "portrait",
      "aspectRatio": 0.773,
      "pageNumber": 187,
      "slideType": "market_landscape",
      "function": "size_opportunity",
      "notes": "Uses map-based visualization to identify geographic white space for new adoption sites.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": "Uses geographic maps to identify market gaps and expansion opportunities.",
      "slideHref": "/slides/019dd923-5ca1-7489-b634-d42adb9ada21/187",
      "deckHref": "/decks/019dd923-5ca1-7489-b634-d42adb9ada21",
      "deckAnchorHref": "/decks/019dd923-5ca1-7489-b634-d42adb9ada21#slide-187",
      "loopMatches": [
        {
          "to": 267,
          "from": 161,
          "name": "Build Up",
          "slug": "33-build-up",
          "bestFor": "Pricing justification, cost estimation, market sizing",
          "matchId": "019dd95a-088b-72c8-b7e5-5934a57a4387",
          "evidence": "Repeated triplet pattern: e.g., p.166/167/168, p.178/179/180, p.188/189",
          "position": 18,
          "objective": "For each initiative, build up Overview → Estimated Impact → Resource Requirements",
          "structure": "The Base -> Add Component A -> Add Component B -> Add Component C -> The Total",
          "confidence": 82,
          "description": "Start from zero and add components to arrive at a total"
        }
      ],
      "arcBeatMatches": [],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5ca1-7489-b634-d42adb9ada21",
      "docSlug": "f48d45408c26f5a2",
      "documentTitle": "Loose dogs in Dallas Strategic Recommendations",
      "authorId": "BCG",
      "authorName": "BCG",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "portrait",
      "aspectRatio": 0.773,
      "pageNumber": 291,
      "slideType": "market_sizing",
      "function": "size_opportunity",
      "notes": "The slide uses a combination of a central heat map and peripheral route-specific data callouts to estimate dog density.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": "Heat map of Dallas with localized data points",
      "slideHref": "/slides/019dd923-5ca1-7489-b634-d42adb9ada21/291",
      "deckHref": "/decks/019dd923-5ca1-7489-b634-d42adb9ada21",
      "deckAnchorHref": "/decks/019dd923-5ca1-7489-b634-d42adb9ada21#slide-291",
      "loopMatches": [
        {
          "to": 298,
          "from": 275,
          "name": "Zoom In",
          "slug": "06-zoom-in",
          "bestFor": "Technical deep-dives, case studies, detailed analysis",
          "matchId": "019dd95a-088b-72c8-b7e5-5c184c18a8b6",
          "evidence": "Section divider '1 Supply of Dogs' + zip-level zoom + waterfall growth math",
          "position": 19,
          "objective": "Zoom into supply of dogs: population sizing and S/N levels",
          "structure": "The Big Picture -> Key Area of Focus -> Specific Detail -> Implication",
          "confidence": 78,
          "description": "Start broad, then progressively focus on specific details that prove your point"
        }
      ],
      "arcBeatMatches": [],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5ca1-7489-b634-d42adb9ada21",
      "docSlug": "f48d45408c26f5a2",
      "documentTitle": "Loose dogs in Dallas Strategic Recommendations",
      "authorId": "BCG",
      "authorName": "BCG",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "portrait",
      "aspectRatio": 0.773,
      "pageNumber": 400,
      "slideType": "geographic_map",
      "function": "analyze_data",
      "notes": "The slide uses a choropleth map to visualize survey data. It includes a specific callout for District 1.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": "Choropleth map used to visualize geographic distribution of survey data.",
      "slideHref": "/slides/019dd923-5ca1-7489-b634-d42adb9ada21/400",
      "deckHref": "/decks/019dd923-5ca1-7489-b634-d42adb9ada21",
      "deckAnchorHref": "/decks/019dd923-5ca1-7489-b634-d42adb9ada21#slide-400",
      "loopMatches": [
        {
          "to": 405,
          "from": 398,
          "name": "Voice Of Customer",
          "slug": "51-voice-of-customer",
          "bestFor": "Product strategy, customer experience, market research",
          "matchId": "019dd95a-088b-72c8-b7e5-73e5bcf9b808",
          "evidence": "Dallas Community Survey: residents' beliefs, sightings, reporting friction",
          "position": 24,
          "objective": "Surface community survey perspectives on loose dogs and reporting behavior",
          "structure": "What Customers Say (Verbatim) -> The Pattern Across Voices -> The Insight -> The Response",
          "confidence": 80,
          "description": "Let customer quotes and feedback drive the narrative and validate the insight"
        }
      ],
      "arcBeatMatches": [],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5ca1-7489-b636-9f7dbdc052e0",
      "docSlug": "2783064a82f33294",
      "documentTitle": "The Logistics Property Handbook 4.0 Investment & Financing Keys",
      "authorId": "Deloitte",
      "authorName": "Deloitte",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.778,
      "pageNumber": 7,
      "slideType": "geographic_map",
      "function": "establish_context",
      "notes": "The slide uses a map-based visualization to illustrate logistics connectivity across Europe, specifically focusing on the Mediterranean and Atlantic corridors.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": "Geographic representation of logistics corridors",
      "slideHref": "/slides/019dd923-5ca1-7489-b636-9f7dbdc052e0/7",
      "deckHref": "/decks/019dd923-5ca1-7489-b636-9f7dbdc052e0",
      "deckAnchorHref": "/decks/019dd923-5ca1-7489-b636-9f7dbdc052e0#slide-7",
      "loopMatches": [
        {
          "to": 8,
          "from": 7,
          "name": "Benchmark Gap",
          "slug": "39-benchmark-gap",
          "bestFor": "Performance improvement, competitive analysis, target setting",
          "matchId": "019de8a8-4f19-72ec-a3af-7445e3421e0e",
          "evidence": "p8 explicit 'Madrid and Barcelona logistics capital values stands above the European average' with EU averages.",
          "position": 2,
          "objective": "Position Spain vs European average on capital values, yields and rents",
          "structure": "Our Performance -> Industry Average -> Best-in-Class -> The Gap = The Opportunity",
          "confidence": 78,
          "description": "Compare performance against best-in-class to quantify the opportunity"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 17,
          "from": 4,
          "beatId": "019de8a8-4dc5-73ce-a937-ce3dfc54fe36",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": null,
          "evidence": "GDP, e-commerce, EU snapshot, Madrid/Catalonia/Valencia KPI dashboards",
          "position": 1,
          "confidence": 62,
          "parentBeatName": null,
          "parentBeatSlug": null
        },
        {
          "to": 8,
          "from": 7,
          "beatId": "019de8a8-4e70-765b-88c6-8c3a9e0c0ac8",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "First Layer",
          "beatSlug": null,
          "evidence": "European corridor map and capital-value benchmarks",
          "position": 2,
          "confidence": 50,
          "parentBeatName": null,
          "parentBeatSlug": null
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5ca1-7489-b636-9f7dbdc052e0",
      "docSlug": "2783064a82f33294",
      "documentTitle": "The Logistics Property Handbook 4.0 Investment & Financing Keys",
      "authorId": "Deloitte",
      "authorName": "Deloitte",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.778,
      "pageNumber": 14,
      "slideType": "geographic_map",
      "function": "establish_context",
      "notes": "The slide uses a concentric ring model to define logistics zones relative to Barcelona.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": "Geographic representation of logistics zones",
      "slideHref": "/slides/019dd923-5ca1-7489-b636-9f7dbdc052e0/14",
      "deckHref": "/decks/019dd923-5ca1-7489-b636-9f7dbdc052e0",
      "deckAnchorHref": "/decks/019dd923-5ca1-7489-b636-9f7dbdc052e0#slide-14",
      "loopMatches": [
        {
          "to": 14,
          "from": 13,
          "name": "Zoom In",
          "slug": "06-zoom-in",
          "bestFor": "Technical deep-dives, case studies, detailed analysis",
          "matchId": "019de8a8-4f5d-72ed-9196-3f110d8b8632",
          "evidence": "p13 dashboard '-550 bps YoY' insight; p14 Barcelona ring map of logistics zones.",
          "position": 4,
          "objective": "Drill into Catalonia market: KPI dashboard then locations",
          "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"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 17,
          "from": 4,
          "beatId": "019de8a8-4dc5-73ce-a937-ce3dfc54fe36",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": null,
          "evidence": "GDP, e-commerce, EU snapshot, Madrid/Catalonia/Valencia KPI dashboards",
          "position": 1,
          "confidence": 62,
          "parentBeatName": null,
          "parentBeatSlug": null
        },
        {
          "to": 17,
          "from": 9,
          "beatId": "019de8a8-4e91-74c7-b9fa-0256c3c2f0ee",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "Deeper Layer",
          "beatSlug": null,
          "evidence": "Madrid, Catalonia, Valencia regional KPI deep dives",
          "position": 3,
          "confidence": 50,
          "parentBeatName": null,
          "parentBeatSlug": null
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5ca1-7489-b636-9f7dbdc052e0",
      "docSlug": "2783064a82f33294",
      "documentTitle": "The Logistics Property Handbook 4.0 Investment & Financing Keys",
      "authorId": "Deloitte",
      "authorName": "Deloitte",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.778,
      "pageNumber": 17,
      "slideType": "geographic_map",
      "function": "establish_context",
      "notes": "The slide uses a geographic map to segment logistics areas into Core Zone, 1st Ring, and 2nd Ring.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": "Geographic representation of logistics zones",
      "slideHref": "/slides/019dd923-5ca1-7489-b636-9f7dbdc052e0/17",
      "deckHref": "/decks/019dd923-5ca1-7489-b636-9f7dbdc052e0",
      "deckAnchorHref": "/decks/019dd923-5ca1-7489-b636-9f7dbdc052e0#slide-17",
      "loopMatches": [
        {
          "to": 17,
          "from": 16,
          "name": "Zoom In",
          "slug": "06-zoom-in",
          "bestFor": "Technical deep-dives, case studies, detailed analysis",
          "matchId": "019de8a8-4f7f-719b-b404-e7b393426105",
          "evidence": "p16 dashboard '-320 bps YoY'; p17 A3/A7 highway corridor map.",
          "position": 5,
          "objective": "Drill into Valencia market: KPI dashboard then locations",
          "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"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 17,
          "from": 4,
          "beatId": "019de8a8-4dc5-73ce-a937-ce3dfc54fe36",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": null,
          "evidence": "GDP, e-commerce, EU snapshot, Madrid/Catalonia/Valencia KPI dashboards",
          "position": 1,
          "confidence": 62,
          "parentBeatName": null,
          "parentBeatSlug": null
        },
        {
          "to": 17,
          "from": 9,
          "beatId": "019de8a8-4e91-74c7-b9fa-0256c3c2f0ee",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "Deeper Layer",
          "beatSlug": null,
          "evidence": "Madrid, Catalonia, Valencia regional KPI deep dives",
          "position": 3,
          "confidence": 50,
          "parentBeatName": null,
          "parentBeatSlug": null
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5ca1-7489-b635-7ac12d53cb34",
      "docSlug": "d7f769c3840020df",
      "documentTitle": "TSS Index 2025 France",
      "authorId": "BCG",
      "authorName": "BCG",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 7,
      "slideType": "geographic_map",
      "function": "quantify_impact",
      "notes": "The slide uses a methodology of extrapolating public company restructuring pressure to the private sector.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": "Geographic visualization of economic data",
      "slideHref": "/slides/019dd923-5ca1-7489-b635-7ac12d53cb34/7",
      "deckHref": "/decks/019dd923-5ca1-7489-b635-7ac12d53cb34",
      "deckAnchorHref": "/decks/019dd923-5ca1-7489-b635-7ac12d53cb34#slide-7",
      "loopMatches": [
        {
          "to": 7,
          "from": 6,
          "name": "Ripple Effect",
          "slug": "26-ripple-effect",
          "bestFor": "Change management, scaling initiatives, demonstrating broad value",
          "matchId": "019dd95a-088c-724c-b30d-75123f9200fe",
          "evidence": "p6 benchmarks France vs EU peers; p7 ripples to 500K jobs and $115B GDP.",
          "position": 3,
          "objective": "Scale the finding from country comparison to jobs and GDP impact",
          "structure": "Individual Impact -> Team Impact -> Organizational Impact -> Market/Industry Impact",
          "confidence": 72,
          "description": "Show how impact spreads from individual to team to organization to market"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 9,
          "from": 5,
          "beatId": "019dd95a-0702-74a3-87e0-bce4f166f515",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Problem & Complication",
          "beatSlug": "consultants-gambit-solution-approach",
          "evidence": "Quantifies pressure (17%/5%), benchmarks geos, sizes economic stake, and ranks sectors.",
          "position": 3,
          "confidence": 88,
          "parentBeatName": "Turn",
          "parentBeatSlug": "turn"
        },
        {
          "to": 9,
          "from": 2,
          "beatId": "019dd95a-0702-74a3-87e0-c86e684737a1",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Bankruptcy data, methodology, pressure rates and sector rankings.",
          "position": 1,
          "confidence": 60,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5ca1-7489-b633-b37827d85a8a",
      "docSlug": "016797fefd364afb",
      "documentTitle": "Year-end Macro Brief Into the Fog of Winter",
      "authorId": "Accenture",
      "authorName": "Accenture",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.778,
      "pageNumber": 10,
      "slideType": "geographic_map",
      "function": "establish_context",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": "Geographic highlighting of a specific region on a world map.",
      "slideHref": "/slides/019dd923-5ca1-7489-b633-b37827d85a8a/10",
      "deckHref": "/decks/019dd923-5ca1-7489-b633-b37827d85a8a",
      "deckAnchorHref": "/decks/019dd923-5ca1-7489-b633-b37827d85a8a#slide-10",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 19,
          "from": 9,
          "beatId": "019dd95a-0682-776c-8e34-941e4218f431",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "Deeper Layer",
          "beatSlug": "onion-deeper-layer",
          "evidence": "Country-specific spotlight developments across Americas, EMEA, APAC.",
          "position": 3,
          "confidence": 78,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        },
        {
          "to": 50,
          "from": 6,
          "beatId": "019dd95a-0682-776c-8e34-a034708f1682",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Data-rich indicator slides report current readings.",
          "position": 1,
          "confidence": 55,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 54,
          "from": 4,
          "beatId": "019dd95a-0682-776c-8e34-a433f4a76040",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Implications (So What)",
          "beatSlug": "triple-take-the-implications-so-what",
          "evidence": "Action titles convert each datapoint into an implication.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Reflection",
          "parentBeatSlug": "reflection"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    }
  ]
}