{ "kind": "all", "value": "all", "collectionKey": "slides:all:all:all-document-kinds:all-producers:all-orientations", "filters": { "documentKinds": [], "sourceTypes": [], "orientations": [] }, "total": 319975, "page": 357, "pageSize": 18, "pageCount": 17777, "rows": [ { "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": 8, "slideType": "section_divider", "function": "transition", "notes": "The Thai text translates to 'Thailand Spotlight Report'.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b635-c6d8f954507b/8", "deckHref": "/decks/019dd923-5ca1-7489-b635-c6d8f954507b", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b635-c6d8f954507b#slide-8", "loopMatches": [], "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": 9, "slideType": "country_insights", "function": "establish_context", "notes": "Slide focuses on Thailand (indicated by flag icon and text).", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b635-c6d8f954507b/9", "deckHref": "/decks/019dd923-5ca1-7489-b635-c6d8f954507b", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b635-c6d8f954507b#slide-9", "loopMatches": [], "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": 10, "slideType": "industry_trends", "function": "analyze_data", "notes": "The slide uses a series of bar charts to show historical and projected growth rates (CAGR) for different digital sectors in Thailand.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b635-c6d8f954507b/10", "deckHref": "/decks/019dd923-5ca1-7489-b635-c6d8f954507b", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b635-c6d8f954507b#slide-10", "loopMatches": [ { "to": 14, "from": 10, "name": "Pattern Hunter", "slug": "02-pattern-hunter", "bestFor": "Time-pressed audiences, building consensus, when data is strong", "matchId": "019dd95a-08f7-737a-a001-f1d54fb3e53c", "evidence": "p10-14 are 1:1 Thai translations of p3-7 with identical chart sequence.", "position": 2, "objective": "Thai-language mirror of the same evidence stack", "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": [], "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": 11, "slideType": "geographic_map", "function": "analyze_data", "notes": "The slide uses two choropleth maps to visualize the digital economy gap between Bangkok and other provinces.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b635-c6d8f954507b/11", "deckHref": "/decks/019dd923-5ca1-7489-b635-c6d8f954507b", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b635-c6d8f954507b#slide-11", "loopMatches": [ { "to": 14, "from": 10, "name": "Pattern Hunter", "slug": "02-pattern-hunter", "bestFor": "Time-pressed audiences, building consensus, when data is strong", "matchId": "019dd95a-08f7-737a-a001-f1d54fb3e53c", "evidence": "p10-14 are 1:1 Thai translations of p3-7 with identical chart sequence.", "position": 2, "objective": "Thai-language mirror of the same evidence stack", "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": [], "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": 12, "slideType": "data_table", "function": "quantify_impact", "notes": "The slide uses CAGR annotations between years to show growth momentum.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b635-c6d8f954507b/12", "deckHref": "/decks/019dd923-5ca1-7489-b635-c6d8f954507b", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b635-c6d8f954507b#slide-12", "loopMatches": [ { "to": 14, "from": 10, "name": "Pattern Hunter", "slug": "02-pattern-hunter", "bestFor": "Time-pressed audiences, building consensus, when data is strong", "matchId": "019dd95a-08f7-737a-a001-f1d54fb3e53c", "evidence": "p10-14 are 1:1 Thai translations of p3-7 with identical chart sequence.", "position": 2, "objective": "Thai-language mirror of the same evidence stack", "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": [], "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": 13, "slideType": "data_table", "function": "quantify_impact", "notes": "Data from e-Conomy SEA 2023 report by Google, Temasek, and Bain & Company.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b635-c6d8f954507b/13", "deckHref": "/decks/019dd923-5ca1-7489-b635-c6d8f954507b", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b635-c6d8f954507b#slide-13", "loopMatches": [ { "to": 14, "from": 10, "name": "Pattern Hunter", "slug": "02-pattern-hunter", "bestFor": "Time-pressed audiences, building consensus, when data is strong", "matchId": "019dd95a-08f7-737a-a001-f1d54fb3e53c", "evidence": "p10-14 are 1:1 Thai translations of p3-7 with identical chart sequence.", "position": 2, "objective": "Thai-language mirror of the same evidence stack", "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": [], "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": 14, "slideType": "financial_analysis", "function": "analyze_data", "notes": "The slide shows a significant spike in H2 2022 followed by a return to lower levels in H1 2023.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b635-c6d8f954507b/14", "deckHref": "/decks/019dd923-5ca1-7489-b635-c6d8f954507b", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b635-c6d8f954507b#slide-14", "loopMatches": [ { "to": 14, "from": 10, "name": "Pattern Hunter", "slug": "02-pattern-hunter", "bestFor": "Time-pressed audiences, building consensus, when data is strong", "matchId": "019dd95a-08f7-737a-a001-f1d54fb3e53c", "evidence": "p10-14 are 1:1 Thai translations of p3-7 with identical chart sequence.", "position": 2, "objective": "Thai-language mirror of the same evidence stack", "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": [], "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": 1, "slideType": "section_divider", "function": "transition", "notes": "The slide uses a stylized illustration of a traveler in a mountainous landscape, likely representing Vietnam's geography.", "imagePath": "https://imgproxy.kitesheet.com/XSrNLSr39bMRQsc3-UgknOFibihwq09KxB-FnHmYDiM/rs:fit:1200:1200:0/q:82/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy81N2E2NzRmMDFkZGQ2ZDBkL3AwMDEuanBn", "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b635-ca9d151658cd/1", "deckHref": "/decks/019dd923-5ca1-7489-b635-ca9d151658cd", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b635-ca9d151658cd#slide-1", "loopMatches": [], "arcBeatMatches": [], "imagePathAlt": "https://imgproxy.kitesheet.com/XD16X4ZshFHb_6wm2DPA7i8v5N1aiH2aEX7AZb4JgpQ/rs:fit:1200:1200:0/q:82/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy81N2E2NzRmMDFkZGQ2ZDBkL3AwMDEucG5n", "thumbSrc": "https://imgproxy.kitesheet.com/bFgQ1rTeC1xoVin-4hBYjoxgg-VaguOa7DWMSIuyPiM/rs:fit:480:480:0/q:78/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy81N2E2NzRmMDFkZGQ2ZDBkL3AwMDEuanBn", "thumbSrcAlt": "https://imgproxy.kitesheet.com/nfg7Kgez5RC-8o_Wte_l3aaJFrRDiPOkdsynl1XidTY/rs:fit:480:480:0/q:78/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy81N2E2NzRmMDFkZGQ2ZDBkL3AwMDEucG5n" }, { "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": 2, "slideType": "country_insights", "function": "summarize", "notes": "Slide focuses on Vietnam market dynamics.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b635-ca9d151658cd/2", "deckHref": "/decks/019dd923-5ca1-7489-b635-ca9d151658cd", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b635-ca9d151658cd#slide-2", "loopMatches": [ { "to": 5, "from": 2, "name": "Zoom In", "slug": "06-zoom-in", "bestFor": "Technical deep-dives, case studies, detailed analysis", "matchId": "019dd95a-08f7-737a-a001-f590abc512e1", "evidence": "p.2 macro themes → p.3 overall GMV → p.4 geographic cut → p.5 four DFS sub-sector charts.", "position": 1, "objective": "Zoom from country overview to digital economy total to specific DFS sub-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": [ { "to": 2, "from": 2, "beatId": "019dd95a-07a6-74c7-9026-efb700dcecd9", "arcName": "The Onion", "arcSlug": "onion", "beatName": "Surface Observation", "beatSlug": "onion-surface-observation", "evidence": "Country overview: 4 macro themes about Vietnam's economy.", "position": 1, "confidence": 65, "parentBeatName": "Setup", "parentBeatSlug": "setup" } ], "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": 3, "slideType": "market_sizing", "function": "size_opportunity", "notes": "Includes CAGR annotations between years. Source: Bain analysis.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b635-ca9d151658cd/3", "deckHref": "/decks/019dd923-5ca1-7489-b635-ca9d151658cd", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b635-ca9d151658cd#slide-3", "loopMatches": [ { "to": 5, "from": 2, "name": "Zoom In", "slug": "06-zoom-in", "bestFor": "Technical deep-dives, case studies, detailed analysis", "matchId": "019dd95a-08f7-737a-a001-f590abc512e1", "evidence": "p.2 macro themes → p.3 overall GMV → p.4 geographic cut → p.5 four DFS sub-sector charts.", "position": 1, "objective": "Zoom from country overview to digital economy total to specific DFS sub-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" }, { "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-fc98a9b08455", "evidence": "Each English page is independent evidence; together they establish a pattern of accelerating digitalisation.", "position": 3, "objective": "Stack multiple data cuts (size, geography, sectors, segments, capital) to converge on growth thesis", "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": 3, "from": 3, "beatId": "019dd95a-07a6-74c7-9026-f3c4d150197d", "arcName": "The Onion", "arcSlug": "onion", "beatName": "First Layer", "beatSlug": "onion-first-layer", "evidence": "Overall digital economy GMV trajectory to ~$45B by 2025.", "position": 2, "confidence": 65, "parentBeatName": "Development", "parentBeatSlug": "development" }, { "to": 5, "from": 3, "beatId": "019dd95a-07a6-74c7-9027-03dae71f0c72", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Facts (What)", "beatSlug": "triple-take-the-facts-what", "evidence": "Charts establish digital economy size, geography, DFS growth.", "position": 1, "confidence": 55, "parentBeatName": "Setup", "parentBeatSlug": "setup" } ], "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": 4, "slideType": "geographic_map", "function": "analyze_data", "notes": "The slide uses two choropleth maps to visualize the disparity between major urban centers and the rest of the country in terms of digital e-commerce activity.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b635-ca9d151658cd/4", "deckHref": "/decks/019dd923-5ca1-7489-b635-ca9d151658cd", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b635-ca9d151658cd#slide-4", "loopMatches": [ { "to": 5, "from": 2, "name": "Zoom In", "slug": "06-zoom-in", "bestFor": "Technical deep-dives, case studies, detailed analysis", "matchId": "019dd95a-08f7-737a-a001-f590abc512e1", "evidence": "p.2 macro themes → p.3 overall GMV → p.4 geographic cut → p.5 four DFS sub-sector charts.", "position": 1, "objective": "Zoom from country overview to digital economy total to specific DFS sub-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" }, { "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-fc98a9b08455", "evidence": "Each English page is independent evidence; together they establish a pattern of accelerating digitalisation.", "position": 3, "objective": "Stack multiple data cuts (size, geography, sectors, segments, capital) to converge on growth thesis", "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": 5, "from": 4, "beatId": "019dd95a-07a6-74c7-9026-f6d79e51e23f", "arcName": "The Onion", "arcSlug": "onion", "beatName": "Deeper Layer", "beatSlug": "onion-deeper-layer", "evidence": "Geographic concentration plus DFS sub-sector growth rates.", "position": 3, "confidence": 65, "parentBeatName": "Development", "parentBeatSlug": "development" }, { "to": 5, "from": 3, "beatId": "019dd95a-07a6-74c7-9027-03dae71f0c72", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Facts (What)", "beatSlug": "triple-take-the-facts-what", "evidence": "Charts establish digital economy size, geography, DFS growth.", "position": 1, "confidence": 55, "parentBeatName": "Setup", "parentBeatSlug": "setup" } ], "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": 5, "slideType": "industry_trends", "function": "quantify_impact", "notes": "The slide uses a consistent format for four different digital financial service sectors, showing historical data (2021-2023) and projections (2025, 2030).", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b635-ca9d151658cd/5", "deckHref": "/decks/019dd923-5ca1-7489-b635-ca9d151658cd", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b635-ca9d151658cd#slide-5", "loopMatches": [ { "to": 5, "from": 2, "name": "Zoom In", "slug": "06-zoom-in", "bestFor": "Technical deep-dives, case studies, detailed analysis", "matchId": "019dd95a-08f7-737a-a001-f590abc512e1", "evidence": "p.2 macro themes → p.3 overall GMV → p.4 geographic cut → p.5 four DFS sub-sector charts.", "position": 1, "objective": "Zoom from country overview to digital economy total to specific DFS sub-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" }, { "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-fc98a9b08455", "evidence": "Each English page is independent evidence; together they establish a pattern of accelerating digitalisation.", "position": 3, "objective": "Stack multiple data cuts (size, geography, sectors, segments, capital) to converge on growth thesis", "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": 5, "from": 4, "beatId": "019dd95a-07a6-74c7-9026-f6d79e51e23f", "arcName": "The Onion", "arcSlug": "onion", "beatName": "Deeper Layer", "beatSlug": "onion-deeper-layer", "evidence": "Geographic concentration plus DFS sub-sector growth rates.", "position": 3, "confidence": 65, "parentBeatName": "Development", "parentBeatSlug": "development" }, { "to": 5, "from": 3, "beatId": "019dd95a-07a6-74c7-9027-03dae71f0c72", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Facts (What)", "beatSlug": "triple-take-the-facts-what", "evidence": "Charts establish digital economy size, geography, DFS growth.", "position": 1, "confidence": 55, "parentBeatName": "Setup", "parentBeatSlug": "setup" } ], "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": 6, "slideType": "kpi_dashboard", "function": "analyze_data", "notes": "Data from Google-commissioned Kantar e-Conomy SEA consumer survey 2023.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b635-ca9d151658cd/6", "deckHref": "/decks/019dd923-5ca1-7489-b635-ca9d151658cd", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b635-ca9d151658cd#slide-6", "loopMatches": [ { "to": 6, "from": 6, "name": "Segmentation Split", "slug": "34-segmentation-split", "bestFor": "Customer analysis, market research, resource allocation", "matchId": "019dd95a-08f7-737a-a001-fba024a481a6", "evidence": "Slide explicitly contrasts HVU vs Non-HVU across demographics, verticals, spend change.", "position": 2, "objective": "Split users into HVU vs Non-HVU to surface the spending-gap insight", "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" }, { "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-fc98a9b08455", "evidence": "Each English page is independent evidence; together they establish a pattern of accelerating digitalisation.", "position": 3, "objective": "Stack multiple data cuts (size, geography, sectors, segments, capital) to converge on growth thesis", "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": 6, "from": 6, "beatId": "019dd95a-07a6-74c7-9026-f9482dd5f946", "arcName": "The Onion", "arcSlug": "onion", "beatName": "Core Insight", "beatSlug": "onion-core-insight", "evidence": "HVUs spend 5.4X non-HVUs — the engine of growth.", "position": 4, "confidence": 65, "parentBeatName": "Turn", "parentBeatSlug": "turn" }, { "to": 7, "from": 6, "beatId": "019dd95a-07a6-74c7-9027-06308e86846d", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Implications (So What)", "beatSlug": "triple-take-the-implications-so-what", "evidence": "HVU spend gap and capital flow into nascent sectors.", "position": 2, "confidence": 55, "parentBeatName": "Reflection", "parentBeatSlug": "reflection" } ], "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": 7, "slideType": "data_table", "function": "analyze_data", "notes": "The chart highlights a recovery in H1 2023 compared to H2 2022, specifically driven by 'Nascent sectors'.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b635-ca9d151658cd/7", "deckHref": "/decks/019dd923-5ca1-7489-b635-ca9d151658cd", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b635-ca9d151658cd#slide-7", "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-fc98a9b08455", "evidence": "Each English page is independent evidence; together they establish a pattern of accelerating digitalisation.", "position": 3, "objective": "Stack multiple data cuts (size, geography, sectors, segments, capital) to converge on growth thesis", "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": 7, "from": 7, "beatId": "019dd95a-07a6-74c7-9026-fc523ac60e6b", "arcName": "The Onion", "arcSlug": "onion", "beatName": "Implications", "beatSlug": "onion-implications", "evidence": "Private funding rising in nascent sectors signals where capital believes.", "position": 5, "confidence": 65, "parentBeatName": "Reflection", "parentBeatSlug": "reflection" }, { "to": 7, "from": 6, "beatId": "019dd95a-07a6-74c7-9027-06308e86846d", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Implications (So What)", "beatSlug": "triple-take-the-implications-so-what", "evidence": "HVU spend gap and capital flow into nascent sectors.", "position": 2, "confidence": 55, "parentBeatName": "Reflection", "parentBeatSlug": "reflection" }, { "to": 7, "from": 7, "beatId": "019dd95a-07a6-74c7-9027-08edaa1f915f", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Action (Now What)", "beatSlug": "triple-take-the-action-now-what", "evidence": "Implicit only — no recommendation slide closes the deck.", "position": 3, "confidence": 55, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "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": 8, "slideType": "section_divider", "function": "transition", "notes": null, "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b635-ca9d151658cd/8", "deckHref": "/decks/019dd923-5ca1-7489-b635-ca9d151658cd", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b635-ca9d151658cd#slide-8", "loopMatches": [], "arcBeatMatches": [], "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": 9, "slideType": "country_insights", "function": "summarize", "notes": "Slide focuses on Vietnam's economic landscape with four key pillars.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b635-ca9d151658cd/9", "deckHref": "/decks/019dd923-5ca1-7489-b635-ca9d151658cd", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b635-ca9d151658cd#slide-9", "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-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": 10, "slideType": "market_sizing", "function": "size_opportunity", "notes": "The slide uses bar charts with CAGR annotations to show historical and projected GMV growth.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b635-ca9d151658cd/10", "deckHref": "/decks/019dd923-5ca1-7489-b635-ca9d151658cd", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b635-ca9d151658cd#slide-10", "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-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": null, "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 } ] }