{ "kind": "all", "value": "all", "collectionKey": "slides:all:all:all-document-kinds:all-producers:all-orientations", "filters": { "documentKinds": [], "sourceTypes": [], "orientations": [] }, "total": 319975, "page": 1262, "pageSize": 30, "pageCount": 10666, "rows": [ { "docId": "019dd923-5de0-76bd-a16b-451df9a6d149", "docSlug": "e97464cc0a103dac", "documentTitle": "Southeast Asia's Green Economy", "authorId": "Bain", "authorName": "Bain & Company", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 75, "slideType": "problem_statement", "function": "diagnose", "notes": "The chart shows T&D losses in TWh for 2024 vs 2030F, with percentage loss labels. The right side outlines two core grid challenges and a call for increased investment.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5de0-76bd-a16b-451df9a6d149/75", "deckHref": "/decks/019dd923-5de0-76bd-a16b-451df9a6d149", "deckAnchorHref": "/decks/019dd923-5de0-76bd-a16b-451df9a6d149#slide-75", "loopMatches": [ { "to": 87, "from": 74, "name": "Waterfall Value", "slug": "31-waterfall-value", "bestFor": "Financial analysis, value bridges, variance explanations", "matchId": "019dd95a-088c-724c-b313-54f466339375", "evidence": "$0.8T cost-reduction bridge, $25B GDP impact decomposition, levers (1/2 and 2/2), then case studies and recommendations.", "position": 10, "objective": "Build economic case for next-gen regional grid and decompose levers", "structure": "The Total -> Driver 1 Impact -> Driver 2 Impact -> Driver 3 Impact -> The Remainder", "confidence": 78, "description": "Break down a big number into its component drivers to show where value is created or lost" } ], "arcBeatMatches": [ { "to": 145, "from": 59, "beatId": "019dd95a-07a5-761b-9144-94c0617c4e8b", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-evidence-proof", "evidence": "Bioeconomy, grid, EV, finance, carbon markets, green AI deep dives with sizing and case studies", "position": 4, "confidence": 88, "parentBeatName": "Evidence", "parentBeatSlug": "evidence" }, { "to": 151, "from": 59, "beatId": "019dd95a-07a5-761b-9144-a5b7a27b3bf4", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Action (Now What)", "beatSlug": "triple-take-the-action-now-what", "evidence": "Per-system implementation levers and recommendations", "position": 3, "confidence": 70, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5de0-76bd-a16b-451df9a6d149", "docSlug": "e97464cc0a103dac", "documentTitle": "Southeast Asia's Green Economy", "authorId": "Bain", "authorName": "Bain & Company", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 76, "slideType": "initiative_list", "function": "quantify_impact", "notes": "The slide uses a combination of a list of initiatives and a waterfall-style comparison chart to demonstrate the economic benefits of regional cooperation.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5de0-76bd-a16b-451df9a6d149/76", "deckHref": "/decks/019dd923-5de0-76bd-a16b-451df9a6d149", "deckAnchorHref": "/decks/019dd923-5de0-76bd-a16b-451df9a6d149#slide-76", "loopMatches": [ { "to": 87, "from": 74, "name": "Waterfall Value", "slug": "31-waterfall-value", "bestFor": "Financial analysis, value bridges, variance explanations", "matchId": "019dd95a-088c-724c-b313-54f466339375", "evidence": "$0.8T cost-reduction bridge, $25B GDP impact decomposition, levers (1/2 and 2/2), then case studies and recommendations.", "position": 10, "objective": "Build economic case for next-gen regional grid and decompose levers", "structure": "The Total -> Driver 1 Impact -> Driver 2 Impact -> Driver 3 Impact -> The Remainder", "confidence": 78, "description": "Break down a big number into its component drivers to show where value is created or lost" } ], "arcBeatMatches": [ { "to": 145, "from": 59, "beatId": "019dd95a-07a5-761b-9144-94c0617c4e8b", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-evidence-proof", "evidence": "Bioeconomy, grid, EV, finance, carbon markets, green AI deep dives with sizing and case studies", "position": 4, "confidence": 88, "parentBeatName": "Evidence", "parentBeatSlug": "evidence" }, { "to": 151, "from": 59, "beatId": "019dd95a-07a5-761b-9144-a5b7a27b3bf4", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Action (Now What)", "beatSlug": "triple-take-the-action-now-what", "evidence": "Per-system implementation levers and recommendations", "position": 3, "confidence": 70, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5de0-76bd-a16b-451df9a6d149", "docSlug": "e97464cc0a103dac", "documentTitle": "Southeast Asia's Green Economy", "authorId": "Bain", "authorName": "Bain & Company", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 77, "slideType": "problem_statement", "function": "frame_problem", "notes": null, "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5de0-76bd-a16b-451df9a6d149/77", "deckHref": "/decks/019dd923-5de0-76bd-a16b-451df9a6d149", "deckAnchorHref": "/decks/019dd923-5de0-76bd-a16b-451df9a6d149#slide-77", "loopMatches": [ { "to": 87, "from": 74, "name": "Waterfall Value", "slug": "31-waterfall-value", "bestFor": "Financial analysis, value bridges, variance explanations", "matchId": "019dd95a-088c-724c-b313-54f466339375", "evidence": "$0.8T cost-reduction bridge, $25B GDP impact decomposition, levers (1/2 and 2/2), then case studies and recommendations.", "position": 10, "objective": "Build economic case for next-gen regional grid and decompose levers", "structure": "The Total -> Driver 1 Impact -> Driver 2 Impact -> Driver 3 Impact -> The Remainder", "confidence": 78, "description": "Break down a big number into its component drivers to show where value is created or lost" } ], "arcBeatMatches": [ { "to": 145, "from": 59, "beatId": "019dd95a-07a5-761b-9144-94c0617c4e8b", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-evidence-proof", "evidence": "Bioeconomy, grid, EV, finance, carbon markets, green AI deep dives with sizing and case studies", "position": 4, "confidence": 88, "parentBeatName": "Evidence", "parentBeatSlug": "evidence" }, { "to": 151, "from": 59, "beatId": "019dd95a-07a5-761b-9144-a5b7a27b3bf4", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Action (Now What)", "beatSlug": "triple-take-the-action-now-what", "evidence": "Per-system implementation levers and recommendations", "position": 3, "confidence": 70, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5de0-76bd-a16b-451df9a6d149", "docSlug": "e97464cc0a103dac", "documentTitle": "Southeast Asia's Green Economy", "authorId": "Bain", "authorName": "Bain & Company", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 78, "slideType": "impact_sizing", "function": "quantify_impact", "notes": "The slide uses a causal chain/system map to show how grid interventions address specific sector barriers.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5de0-76bd-a16b-451df9a6d149/78", "deckHref": "/decks/019dd923-5de0-76bd-a16b-451df9a6d149", "deckAnchorHref": "/decks/019dd923-5de0-76bd-a16b-451df9a6d149#slide-78", "loopMatches": [ { "to": 87, "from": 74, "name": "Waterfall Value", "slug": "31-waterfall-value", "bestFor": "Financial analysis, value bridges, variance explanations", "matchId": "019dd95a-088c-724c-b313-54f466339375", "evidence": "$0.8T cost-reduction bridge, $25B GDP impact decomposition, levers (1/2 and 2/2), then case studies and recommendations.", "position": 10, "objective": "Build economic case for next-gen regional grid and decompose levers", "structure": "The Total -> Driver 1 Impact -> Driver 2 Impact -> Driver 3 Impact -> The Remainder", "confidence": 78, "description": "Break down a big number into its component drivers to show where value is created or lost" } ], "arcBeatMatches": [ { "to": 145, "from": 59, "beatId": "019dd95a-07a5-761b-9144-94c0617c4e8b", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-evidence-proof", "evidence": "Bioeconomy, grid, EV, finance, carbon markets, green AI deep dives with sizing and case studies", "position": 4, "confidence": 88, "parentBeatName": "Evidence", "parentBeatSlug": "evidence" }, { "to": 151, "from": 59, "beatId": "019dd95a-07a5-761b-9144-a5b7a27b3bf4", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Action (Now What)", "beatSlug": "triple-take-the-action-now-what", "evidence": "Per-system implementation levers and recommendations", "position": 3, "confidence": 70, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5de0-76bd-a16b-451df9a6d149", "docSlug": "e97464cc0a103dac", "documentTitle": "Southeast Asia's Green Economy", "authorId": "Bain", "authorName": "Bain & Company", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 79, "slideType": "implementation_plan", "function": "plan_implementation", "notes": "The slide uses a color-coded legend for 'Ease of implementation' (High, Moderate, Low).", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5de0-76bd-a16b-451df9a6d149/79", "deckHref": "/decks/019dd923-5de0-76bd-a16b-451df9a6d149", "deckAnchorHref": "/decks/019dd923-5de0-76bd-a16b-451df9a6d149#slide-79", "loopMatches": [ { "to": 87, "from": 74, "name": "Waterfall Value", "slug": "31-waterfall-value", "bestFor": "Financial analysis, value bridges, variance explanations", "matchId": "019dd95a-088c-724c-b313-54f466339375", "evidence": "$0.8T cost-reduction bridge, $25B GDP impact decomposition, levers (1/2 and 2/2), then case studies and recommendations.", "position": 10, "objective": "Build economic case for next-gen regional grid and decompose levers", "structure": "The Total -> Driver 1 Impact -> Driver 2 Impact -> Driver 3 Impact -> The Remainder", "confidence": 78, "description": "Break down a big number into its component drivers to show where value is created or lost" } ], "arcBeatMatches": [ { "to": 145, "from": 59, "beatId": "019dd95a-07a5-761b-9144-94c0617c4e8b", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-evidence-proof", "evidence": "Bioeconomy, grid, EV, finance, carbon markets, green AI deep dives with sizing and case studies", "position": 4, "confidence": 88, "parentBeatName": "Evidence", "parentBeatSlug": "evidence" }, { "to": 151, "from": 59, "beatId": "019dd95a-07a5-761b-9144-a5b7a27b3bf4", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Action (Now What)", "beatSlug": "triple-take-the-action-now-what", "evidence": "Per-system implementation levers and recommendations", "position": 3, "confidence": 70, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5de0-76bd-a16b-451df9a6d149", "docSlug": "e97464cc0a103dac", "documentTitle": "Southeast Asia's Green Economy", "authorId": "Bain", "authorName": "Bain & Company", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 80, "slideType": "implementation_plan", "function": "plan_implementation", "notes": "Part 2 of 2. Uses a matrix-like structure to evaluate levers.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5de0-76bd-a16b-451df9a6d149/80", "deckHref": "/decks/019dd923-5de0-76bd-a16b-451df9a6d149", "deckAnchorHref": "/decks/019dd923-5de0-76bd-a16b-451df9a6d149#slide-80", "loopMatches": [ { "to": 87, "from": 74, "name": "Waterfall Value", "slug": "31-waterfall-value", "bestFor": "Financial analysis, value bridges, variance explanations", "matchId": "019dd95a-088c-724c-b313-54f466339375", "evidence": "$0.8T cost-reduction bridge, $25B GDP impact decomposition, levers (1/2 and 2/2), then case studies and recommendations.", "position": 10, "objective": "Build economic case for next-gen regional grid and decompose levers", "structure": "The Total -> Driver 1 Impact -> Driver 2 Impact -> Driver 3 Impact -> The Remainder", "confidence": 78, "description": "Break down a big number into its component drivers to show where value is created or lost" } ], "arcBeatMatches": [ { "to": 145, "from": 59, "beatId": "019dd95a-07a5-761b-9144-94c0617c4e8b", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-evidence-proof", "evidence": "Bioeconomy, grid, EV, finance, carbon markets, green AI deep dives with sizing and case studies", "position": 4, "confidence": 88, "parentBeatName": "Evidence", "parentBeatSlug": "evidence" }, { "to": 151, "from": 59, "beatId": "019dd95a-07a5-761b-9144-a5b7a27b3bf4", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Action (Now What)", "beatSlug": "triple-take-the-action-now-what", "evidence": "Per-system implementation levers and recommendations", "position": 3, "confidence": 70, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5de0-76bd-a16b-451df9a6d149", "docSlug": "e97464cc0a103dac", "documentTitle": "Southeast Asia's Green Economy", "authorId": "Bain", "authorName": "Bain & Company", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 81, "slideType": "case_study", "function": "illustrate_case", "notes": "Uses a value chain framework to structure the case study.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5de0-76bd-a16b-451df9a6d149/81", "deckHref": "/decks/019dd923-5de0-76bd-a16b-451df9a6d149", "deckAnchorHref": "/decks/019dd923-5de0-76bd-a16b-451df9a6d149#slide-81", "loopMatches": [ { "to": 87, "from": 74, "name": "Waterfall Value", "slug": "31-waterfall-value", "bestFor": "Financial analysis, value bridges, variance explanations", "matchId": "019dd95a-088c-724c-b313-54f466339375", "evidence": "$0.8T cost-reduction bridge, $25B GDP impact decomposition, levers (1/2 and 2/2), then case studies and recommendations.", "position": 10, "objective": "Build economic case for next-gen regional grid and decompose levers", "structure": "The Total -> Driver 1 Impact -> Driver 2 Impact -> Driver 3 Impact -> The Remainder", "confidence": 78, "description": "Break down a big number into its component drivers to show where value is created or lost" } ], "arcBeatMatches": [ { "to": 145, "from": 59, "beatId": "019dd95a-07a5-761b-9144-94c0617c4e8b", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-evidence-proof", "evidence": "Bioeconomy, grid, EV, finance, carbon markets, green AI deep dives with sizing and case studies", "position": 4, "confidence": 88, "parentBeatName": "Evidence", "parentBeatSlug": "evidence" }, { "to": 151, "from": 59, "beatId": "019dd95a-07a5-761b-9144-a5b7a27b3bf4", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Action (Now What)", "beatSlug": "triple-take-the-action-now-what", "evidence": "Per-system implementation levers and recommendations", "position": 3, "confidence": 70, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5de0-76bd-a16b-451df9a6d149", "docSlug": "e97464cc0a103dac", "documentTitle": "Southeast Asia's Green Economy", "authorId": "Bain", "authorName": "Bain & Company", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 82, "slideType": "case_study", "function": "illustrate_case", "notes": "The slide uses a structured comparison format to present the EU grid integration case study.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5de0-76bd-a16b-451df9a6d149/82", "deckHref": "/decks/019dd923-5de0-76bd-a16b-451df9a6d149", "deckAnchorHref": "/decks/019dd923-5de0-76bd-a16b-451df9a6d149#slide-82", "loopMatches": [ { "to": 87, "from": 74, "name": "Waterfall Value", "slug": "31-waterfall-value", "bestFor": "Financial analysis, value bridges, variance explanations", "matchId": "019dd95a-088c-724c-b313-54f466339375", "evidence": "$0.8T cost-reduction bridge, $25B GDP impact decomposition, levers (1/2 and 2/2), then case studies and recommendations.", "position": 10, "objective": "Build economic case for next-gen regional grid and decompose levers", "structure": "The Total -> Driver 1 Impact -> Driver 2 Impact -> Driver 3 Impact -> The Remainder", "confidence": 78, "description": "Break down a big number into its component drivers to show where value is created or lost" } ], "arcBeatMatches": [ { "to": 145, "from": 59, "beatId": "019dd95a-07a5-761b-9144-94c0617c4e8b", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-evidence-proof", "evidence": "Bioeconomy, grid, EV, finance, carbon markets, green AI deep dives with sizing and case studies", "position": 4, "confidence": 88, "parentBeatName": "Evidence", "parentBeatSlug": "evidence" }, { "to": 151, "from": 59, "beatId": "019dd95a-07a5-761b-9144-a5b7a27b3bf4", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Action (Now What)", "beatSlug": "triple-take-the-action-now-what", "evidence": "Per-system implementation levers and recommendations", "position": 3, "confidence": 70, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5de0-76bd-a16b-451df9a6d149", "docSlug": "e97464cc0a103dac", "documentTitle": "Southeast Asia's Green Economy", "authorId": "Bain", "authorName": "Bain & Company", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 83, "slideType": "market_landscape", "function": "present_framework", "notes": "The slide uses a combination of a list-based stakeholder definition and a process flow diagram to explain the ecosystem.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5de0-76bd-a16b-451df9a6d149/83", "deckHref": "/decks/019dd923-5de0-76bd-a16b-451df9a6d149", "deckAnchorHref": "/decks/019dd923-5de0-76bd-a16b-451df9a6d149#slide-83", "loopMatches": [ { "to": 87, "from": 74, "name": "Waterfall Value", "slug": "31-waterfall-value", "bestFor": "Financial analysis, value bridges, variance explanations", "matchId": "019dd95a-088c-724c-b313-54f466339375", "evidence": "$0.8T cost-reduction bridge, $25B GDP impact decomposition, levers (1/2 and 2/2), then case studies and recommendations.", "position": 10, "objective": "Build economic case for next-gen regional grid and decompose levers", "structure": "The Total -> Driver 1 Impact -> Driver 2 Impact -> Driver 3 Impact -> The Remainder", "confidence": 78, "description": "Break down a big number into its component drivers to show where value is created or lost" } ], "arcBeatMatches": [ { "to": 145, "from": 59, "beatId": "019dd95a-07a5-761b-9144-94c0617c4e8b", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-evidence-proof", "evidence": "Bioeconomy, grid, EV, finance, carbon markets, green AI deep dives with sizing and case studies", "position": 4, "confidence": 88, "parentBeatName": "Evidence", "parentBeatSlug": "evidence" }, { "to": 151, "from": 59, "beatId": "019dd95a-07a5-761b-9144-a5b7a27b3bf4", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Action (Now What)", "beatSlug": "triple-take-the-action-now-what", "evidence": "Per-system implementation levers and recommendations", "position": 3, "confidence": 70, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5de0-76bd-a16b-451df9a6d149", "docSlug": "e97464cc0a103dac", "documentTitle": "Southeast Asia's Green Economy", "authorId": "Bain", "authorName": "Bain & Company", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 84, "slideType": "geographic_map", "function": "establish_context", "notes": "The slide uses a map-based framework to illustrate regional green industrial development.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5de0-76bd-a16b-451df9a6d149/84", "deckHref": "/decks/019dd923-5de0-76bd-a16b-451df9a6d149", "deckAnchorHref": "/decks/019dd923-5de0-76bd-a16b-451df9a6d149#slide-84", "loopMatches": [ { "to": 87, "from": 74, "name": "Waterfall Value", "slug": "31-waterfall-value", "bestFor": "Financial analysis, value bridges, variance explanations", "matchId": "019dd95a-088c-724c-b313-54f466339375", "evidence": "$0.8T cost-reduction bridge, $25B GDP impact decomposition, levers (1/2 and 2/2), then case studies and recommendations.", "position": 10, "objective": "Build economic case for next-gen regional grid and decompose levers", "structure": "The Total -> Driver 1 Impact -> Driver 2 Impact -> Driver 3 Impact -> The Remainder", "confidence": 78, "description": "Break down a big number into its component drivers to show where value is created or lost" } ], "arcBeatMatches": [ { "to": 145, "from": 59, "beatId": "019dd95a-07a5-761b-9144-94c0617c4e8b", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-evidence-proof", "evidence": "Bioeconomy, grid, EV, finance, carbon markets, green AI deep dives with sizing and case studies", "position": 4, "confidence": 88, "parentBeatName": "Evidence", "parentBeatSlug": "evidence" }, { "to": 151, "from": 59, "beatId": "019dd95a-07a5-761b-9144-a5b7a27b3bf4", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Action (Now What)", "beatSlug": "triple-take-the-action-now-what", "evidence": "Per-system implementation levers and recommendations", "position": 3, "confidence": 70, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5de0-76bd-a16b-451df9a6d149", "docSlug": "e97464cc0a103dac", "documentTitle": "Southeast Asia's Green Economy", "authorId": "Bain", "authorName": "Bain & Company", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 85, "slideType": "initiative_list", "function": "present_solution", "notes": "The slide uses a matrix-like structure to map collaboration opportunities to specific regional impacts.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5de0-76bd-a16b-451df9a6d149/85", "deckHref": "/decks/019dd923-5de0-76bd-a16b-451df9a6d149", "deckAnchorHref": "/decks/019dd923-5de0-76bd-a16b-451df9a6d149#slide-85", "loopMatches": [ { "to": 87, "from": 74, "name": "Waterfall Value", "slug": "31-waterfall-value", "bestFor": "Financial analysis, value bridges, variance explanations", "matchId": "019dd95a-088c-724c-b313-54f466339375", "evidence": "$0.8T cost-reduction bridge, $25B GDP impact decomposition, levers (1/2 and 2/2), then case studies and recommendations.", "position": 10, "objective": "Build economic case for next-gen regional grid and decompose levers", "structure": "The Total -> Driver 1 Impact -> Driver 2 Impact -> Driver 3 Impact -> The Remainder", "confidence": 78, "description": "Break down a big number into its component drivers to show where value is created or lost" } ], "arcBeatMatches": [ { "to": 145, "from": 59, "beatId": "019dd95a-07a5-761b-9144-94c0617c4e8b", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-evidence-proof", "evidence": "Bioeconomy, grid, EV, finance, carbon markets, green AI deep dives with sizing and case studies", "position": 4, "confidence": 88, "parentBeatName": "Evidence", "parentBeatSlug": "evidence" }, { "to": 151, "from": 59, "beatId": "019dd95a-07a5-761b-9144-a5b7a27b3bf4", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Action (Now What)", "beatSlug": "triple-take-the-action-now-what", "evidence": "Per-system implementation levers and recommendations", "position": 3, "confidence": 70, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5de0-76bd-a16b-451df9a6d149", "docSlug": "e97464cc0a103dac", "documentTitle": "Southeast Asia's Green Economy", "authorId": "Bain", "authorName": "Bain & Company", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 86, "slideType": "market_sizing", "function": "size_opportunity", "notes": "The slide uses a structured table to categorize investment opportunities by infrastructure type.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5de0-76bd-a16b-451df9a6d149/86", "deckHref": "/decks/019dd923-5de0-76bd-a16b-451df9a6d149", "deckAnchorHref": "/decks/019dd923-5de0-76bd-a16b-451df9a6d149#slide-86", "loopMatches": [ { "to": 87, "from": 74, "name": "Waterfall Value", "slug": "31-waterfall-value", "bestFor": "Financial analysis, value bridges, variance explanations", "matchId": "019dd95a-088c-724c-b313-54f466339375", "evidence": "$0.8T cost-reduction bridge, $25B GDP impact decomposition, levers (1/2 and 2/2), then case studies and recommendations.", "position": 10, "objective": "Build economic case for next-gen regional grid and decompose levers", "structure": "The Total -> Driver 1 Impact -> Driver 2 Impact -> Driver 3 Impact -> The Remainder", "confidence": 78, "description": "Break down a big number into its component drivers to show where value is created or lost" } ], "arcBeatMatches": [ { "to": 145, "from": 59, "beatId": "019dd95a-07a5-761b-9144-94c0617c4e8b", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-evidence-proof", "evidence": "Bioeconomy, grid, EV, finance, carbon markets, green AI deep dives with sizing and case studies", "position": 4, "confidence": 88, "parentBeatName": "Evidence", "parentBeatSlug": "evidence" }, { "to": 151, "from": 59, "beatId": "019dd95a-07a5-761b-9144-a5b7a27b3bf4", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Action (Now What)", "beatSlug": "triple-take-the-action-now-what", "evidence": "Per-system implementation levers and recommendations", "position": 3, "confidence": 70, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5de0-76bd-a16b-451df9a6d149", "docSlug": "e97464cc0a103dac", "documentTitle": "Southeast Asia's Green Economy", "authorId": "Bain", "authorName": "Bain & Company", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 87, "slideType": "recommendation", "function": "recommend", "notes": null, "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5de0-76bd-a16b-451df9a6d149/87", "deckHref": "/decks/019dd923-5de0-76bd-a16b-451df9a6d149", "deckAnchorHref": "/decks/019dd923-5de0-76bd-a16b-451df9a6d149#slide-87", "loopMatches": [ { "to": 87, "from": 74, "name": "Waterfall Value", "slug": "31-waterfall-value", "bestFor": "Financial analysis, value bridges, variance explanations", "matchId": "019dd95a-088c-724c-b313-54f466339375", "evidence": "$0.8T cost-reduction bridge, $25B GDP impact decomposition, levers (1/2 and 2/2), then case studies and recommendations.", "position": 10, "objective": "Build economic case for next-gen regional grid and decompose levers", "structure": "The Total -> Driver 1 Impact -> Driver 2 Impact -> Driver 3 Impact -> The Remainder", "confidence": 78, "description": "Break down a big number into its component drivers to show where value is created or lost" } ], "arcBeatMatches": [ { "to": 145, "from": 59, "beatId": "019dd95a-07a5-761b-9144-94c0617c4e8b", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-evidence-proof", "evidence": "Bioeconomy, grid, EV, finance, carbon markets, green AI deep dives with sizing and case studies", "position": 4, "confidence": 88, "parentBeatName": "Evidence", "parentBeatSlug": "evidence" }, { "to": 151, "from": 59, "beatId": "019dd95a-07a5-761b-9144-a5b7a27b3bf4", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Action (Now What)", "beatSlug": "triple-take-the-action-now-what", "evidence": "Per-system implementation levers and recommendations", "position": 3, "confidence": 70, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5de0-76bd-a16b-451df9a6d149", "docSlug": "e97464cc0a103dac", "documentTitle": "Southeast Asia's Green Economy", "authorId": "Bain", "authorName": "Bain & Company", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 88, "slideType": "section_divider", "function": "transition", "notes": "The slide uses a large '07' as a section number and a thematic illustration of EV charging.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5de0-76bd-a16b-451df9a6d149/88", "deckHref": "/decks/019dd923-5de0-76bd-a16b-451df9a6d149", "deckAnchorHref": "/decks/019dd923-5de0-76bd-a16b-451df9a6d149#slide-88", "loopMatches": [], "arcBeatMatches": [ { "to": 145, "from": 59, "beatId": "019dd95a-07a5-761b-9144-94c0617c4e8b", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-evidence-proof", "evidence": "Bioeconomy, grid, EV, finance, carbon markets, green AI deep dives with sizing and case studies", "position": 4, "confidence": 88, "parentBeatName": "Evidence", "parentBeatSlug": "evidence" }, { "to": 151, "from": 59, "beatId": "019dd95a-07a5-761b-9144-a5b7a27b3bf4", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Action (Now What)", "beatSlug": "triple-take-the-action-now-what", "evidence": "Per-system implementation levers and recommendations", "position": 3, "confidence": 70, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5de0-76bd-a16b-451df9a6d149", "docSlug": "e97464cc0a103dac", "documentTitle": "Southeast Asia's Green Economy", "authorId": "Bain", "authorName": "Bain & Company", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 89, "slideType": "key_takeaways", "function": "summarize", "notes": "The slide uses a concentric circle diagram to represent the ecosystem layers and a numbered list for key takeaways.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5de0-76bd-a16b-451df9a6d149/89", "deckHref": "/decks/019dd923-5de0-76bd-a16b-451df9a6d149", "deckAnchorHref": "/decks/019dd923-5de0-76bd-a16b-451df9a6d149#slide-89", "loopMatches": [ { "to": 103, "from": 89, "name": "Root Cause Tree", "slug": "37-root-cause-tree", "bestFor": "Problem diagnosis, quality issues, operational failures", "matchId": "019dd95a-088c-724c-b313-5aace09b95bc", "evidence": "Takeaways -> emissions/adoption data -> systemic challenges -> $53B impact -> levers -> investable ideas -> recommendations.", "position": 11, "objective": "Diagnose EV adoption gap and lay out a dual demand+production strategy", "structure": "The Problem -> Branch 1 (Cause A) -> Branch 2 (Cause B) -> Branch 3 (Cause C) -> The Primary Root", "confidence": 80, "description": "Branch out from a problem to its multiple contributing causes" } ], "arcBeatMatches": [ { "to": 145, "from": 59, "beatId": "019dd95a-07a5-761b-9144-94c0617c4e8b", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-evidence-proof", "evidence": "Bioeconomy, grid, EV, finance, carbon markets, green AI deep dives with sizing and case studies", "position": 4, "confidence": 88, "parentBeatName": "Evidence", "parentBeatSlug": "evidence" }, { "to": 151, "from": 59, "beatId": "019dd95a-07a5-761b-9144-a5b7a27b3bf4", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Action (Now What)", "beatSlug": "triple-take-the-action-now-what", "evidence": "Per-system implementation levers and recommendations", "position": 3, "confidence": 70, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5de0-76bd-a16b-451df9a6d149", "docSlug": "e97464cc0a103dac", "documentTitle": "Southeast Asia's Green Economy", "authorId": "Bain", "authorName": "Bain & Company", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 90, "slideType": "industry_trends", "function": "analyze_data", "notes": "The slide uses a combination of stacked bar charts to illustrate emission sources and growth projections for vehicle sales.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5de0-76bd-a16b-451df9a6d149/90", "deckHref": "/decks/019dd923-5de0-76bd-a16b-451df9a6d149", "deckAnchorHref": "/decks/019dd923-5de0-76bd-a16b-451df9a6d149#slide-90", "loopMatches": [ { "to": 103, "from": 89, "name": "Root Cause Tree", "slug": "37-root-cause-tree", "bestFor": "Problem diagnosis, quality issues, operational failures", "matchId": "019dd95a-088c-724c-b313-5aace09b95bc", "evidence": "Takeaways -> emissions/adoption data -> systemic challenges -> $53B impact -> levers -> investable ideas -> recommendations.", "position": 11, "objective": "Diagnose EV adoption gap and lay out a dual demand+production strategy", "structure": "The Problem -> Branch 1 (Cause A) -> Branch 2 (Cause B) -> Branch 3 (Cause C) -> The Primary Root", "confidence": 80, "description": "Branch out from a problem to its multiple contributing causes" } ], "arcBeatMatches": [ { "to": 145, "from": 59, "beatId": "019dd95a-07a5-761b-9144-94c0617c4e8b", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-evidence-proof", "evidence": "Bioeconomy, grid, EV, finance, carbon markets, green AI deep dives with sizing and case studies", "position": 4, "confidence": 88, "parentBeatName": "Evidence", "parentBeatSlug": "evidence" }, { "to": 151, "from": 59, "beatId": "019dd95a-07a5-761b-9144-a5b7a27b3bf4", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Action (Now What)", "beatSlug": "triple-take-the-action-now-what", "evidence": "Per-system implementation levers and recommendations", "position": 3, "confidence": 70, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5de0-76bd-a16b-451df9a6d149", "docSlug": "e97464cc0a103dac", "documentTitle": "Southeast Asia's Green Economy", "authorId": "Bain", "authorName": "Bain & Company", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 91, "slideType": "market_landscape", "function": "analyze_data", "notes": "The slide uses stacked bar charts to compare EV penetration (BEV, PHEV, HEV) for 4W and 2W vehicles.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5de0-76bd-a16b-451df9a6d149/91", "deckHref": "/decks/019dd923-5de0-76bd-a16b-451df9a6d149", "deckAnchorHref": "/decks/019dd923-5de0-76bd-a16b-451df9a6d149#slide-91", "loopMatches": [ { "to": 103, "from": 89, "name": "Root Cause Tree", "slug": "37-root-cause-tree", "bestFor": "Problem diagnosis, quality issues, operational failures", "matchId": "019dd95a-088c-724c-b313-5aace09b95bc", "evidence": "Takeaways -> emissions/adoption data -> systemic challenges -> $53B impact -> levers -> investable ideas -> recommendations.", "position": 11, "objective": "Diagnose EV adoption gap and lay out a dual demand+production strategy", "structure": "The Problem -> Branch 1 (Cause A) -> Branch 2 (Cause B) -> Branch 3 (Cause C) -> The Primary Root", "confidence": 80, "description": "Branch out from a problem to its multiple contributing causes" } ], "arcBeatMatches": [ { "to": 145, "from": 59, "beatId": "019dd95a-07a5-761b-9144-94c0617c4e8b", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-evidence-proof", "evidence": "Bioeconomy, grid, EV, finance, carbon markets, green AI deep dives with sizing and case studies", "position": 4, "confidence": 88, "parentBeatName": "Evidence", "parentBeatSlug": "evidence" }, { "to": 151, "from": 59, "beatId": "019dd95a-07a5-761b-9144-a5b7a27b3bf4", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Action (Now What)", "beatSlug": "triple-take-the-action-now-what", "evidence": "Per-system implementation levers and recommendations", "position": 3, "confidence": 70, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5de0-76bd-a16b-451df9a6d149", "docSlug": "e97464cc0a103dac", "documentTitle": "Southeast Asia's Green Economy", "authorId": "Bain", "authorName": "Bain & Company", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 92, "slideType": "industry_trends", "function": "analyze_data", "notes": "The slide uses a combination of a line chart and a data table to illustrate the growth trajectory of EV adoption.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5de0-76bd-a16b-451df9a6d149/92", "deckHref": "/decks/019dd923-5de0-76bd-a16b-451df9a6d149", "deckAnchorHref": "/decks/019dd923-5de0-76bd-a16b-451df9a6d149#slide-92", "loopMatches": [ { "to": 103, "from": 89, "name": "Root Cause Tree", "slug": "37-root-cause-tree", "bestFor": "Problem diagnosis, quality issues, operational failures", "matchId": "019dd95a-088c-724c-b313-5aace09b95bc", "evidence": "Takeaways -> emissions/adoption data -> systemic challenges -> $53B impact -> levers -> investable ideas -> recommendations.", "position": 11, "objective": "Diagnose EV adoption gap and lay out a dual demand+production strategy", "structure": "The Problem -> Branch 1 (Cause A) -> Branch 2 (Cause B) -> Branch 3 (Cause C) -> The Primary Root", "confidence": 80, "description": "Branch out from a problem to its multiple contributing causes" } ], "arcBeatMatches": [ { "to": 145, "from": 59, "beatId": "019dd95a-07a5-761b-9144-94c0617c4e8b", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-evidence-proof", "evidence": "Bioeconomy, grid, EV, finance, carbon markets, green AI deep dives with sizing and case studies", "position": 4, "confidence": 88, "parentBeatName": "Evidence", "parentBeatSlug": "evidence" }, { "to": 151, "from": 59, "beatId": "019dd95a-07a5-761b-9144-a5b7a27b3bf4", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Action (Now What)", "beatSlug": "triple-take-the-action-now-what", "evidence": "Per-system implementation levers and recommendations", "position": 3, "confidence": 70, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5de0-76bd-a16b-451df9a6d149", "docSlug": "e97464cc0a103dac", "documentTitle": "Southeast Asia's Green Economy", "authorId": "Bain", "authorName": "Bain & Company", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 93, "slideType": "market_landscape", "function": "analyze_data", "notes": "The slide uses a combination of key metrics (left) and comparative charts (right) to illustrate the economic importance of the auto sector and the shift in import dynamics.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5de0-76bd-a16b-451df9a6d149/93", "deckHref": "/decks/019dd923-5de0-76bd-a16b-451df9a6d149", "deckAnchorHref": "/decks/019dd923-5de0-76bd-a16b-451df9a6d149#slide-93", "loopMatches": [ { "to": 103, "from": 89, "name": "Root Cause Tree", "slug": "37-root-cause-tree", "bestFor": "Problem diagnosis, quality issues, operational failures", "matchId": "019dd95a-088c-724c-b313-5aace09b95bc", "evidence": "Takeaways -> emissions/adoption data -> systemic challenges -> $53B impact -> levers -> investable ideas -> recommendations.", "position": 11, "objective": "Diagnose EV adoption gap and lay out a dual demand+production strategy", "structure": "The Problem -> Branch 1 (Cause A) -> Branch 2 (Cause B) -> Branch 3 (Cause C) -> The Primary Root", "confidence": 80, "description": "Branch out from a problem to its multiple contributing causes" } ], "arcBeatMatches": [ { "to": 145, "from": 59, "beatId": "019dd95a-07a5-761b-9144-94c0617c4e8b", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-evidence-proof", "evidence": "Bioeconomy, grid, EV, finance, carbon markets, green AI deep dives with sizing and case studies", "position": 4, "confidence": 88, "parentBeatName": "Evidence", "parentBeatSlug": "evidence" }, { "to": 151, "from": 59, "beatId": "019dd95a-07a5-761b-9144-a5b7a27b3bf4", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Action (Now What)", "beatSlug": "triple-take-the-action-now-what", "evidence": "Per-system implementation levers and recommendations", "position": 3, "confidence": 70, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5de0-76bd-a16b-451df9a6d149", "docSlug": "e97464cc0a103dac", "documentTitle": "Southeast Asia's Green Economy", "authorId": "Bain", "authorName": "Bain & Company", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 94, "slideType": "initiative_list", "function": "present_solution", "notes": "The central diagram represents a flywheel or reinforcing loop between demand and supply chain initiatives.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5de0-76bd-a16b-451df9a6d149/94", "deckHref": "/decks/019dd923-5de0-76bd-a16b-451df9a6d149", "deckAnchorHref": "/decks/019dd923-5de0-76bd-a16b-451df9a6d149#slide-94", "loopMatches": [ { "to": 103, "from": 89, "name": "Root Cause Tree", "slug": "37-root-cause-tree", "bestFor": "Problem diagnosis, quality issues, operational failures", "matchId": "019dd95a-088c-724c-b313-5aace09b95bc", "evidence": "Takeaways -> emissions/adoption data -> systemic challenges -> $53B impact -> levers -> investable ideas -> recommendations.", "position": 11, "objective": "Diagnose EV adoption gap and lay out a dual demand+production strategy", "structure": "The Problem -> Branch 1 (Cause A) -> Branch 2 (Cause B) -> Branch 3 (Cause C) -> The Primary Root", "confidence": 80, "description": "Branch out from a problem to its multiple contributing causes" } ], "arcBeatMatches": [ { "to": 145, "from": 59, "beatId": "019dd95a-07a5-761b-9144-94c0617c4e8b", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-evidence-proof", "evidence": "Bioeconomy, grid, EV, finance, carbon markets, green AI deep dives with sizing and case studies", "position": 4, "confidence": 88, "parentBeatName": "Evidence", "parentBeatSlug": "evidence" }, { "to": 151, "from": 59, "beatId": "019dd95a-07a5-761b-9144-a5b7a27b3bf4", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Action (Now What)", "beatSlug": "triple-take-the-action-now-what", "evidence": "Per-system implementation levers and recommendations", "position": 3, "confidence": 70, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5de0-76bd-a16b-451df9a6d149", "docSlug": "e97464cc0a103dac", "documentTitle": "Southeast Asia's Green Economy", "authorId": "Bain", "authorName": "Bain & Company", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 95, "slideType": "problem_statement", "function": "frame_problem", "notes": "The slide uses a two-column layout to contrast adoption challenges vs. production challenges.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5de0-76bd-a16b-451df9a6d149/95", "deckHref": "/decks/019dd923-5de0-76bd-a16b-451df9a6d149", "deckAnchorHref": "/decks/019dd923-5de0-76bd-a16b-451df9a6d149#slide-95", "loopMatches": [ { "to": 103, "from": 89, "name": "Root Cause Tree", "slug": "37-root-cause-tree", "bestFor": "Problem diagnosis, quality issues, operational failures", "matchId": "019dd95a-088c-724c-b313-5aace09b95bc", "evidence": "Takeaways -> emissions/adoption data -> systemic challenges -> $53B impact -> levers -> investable ideas -> recommendations.", "position": 11, "objective": "Diagnose EV adoption gap and lay out a dual demand+production strategy", "structure": "The Problem -> Branch 1 (Cause A) -> Branch 2 (Cause B) -> Branch 3 (Cause C) -> The Primary Root", "confidence": 80, "description": "Branch out from a problem to its multiple contributing causes" } ], "arcBeatMatches": [ { "to": 145, "from": 59, "beatId": "019dd95a-07a5-761b-9144-94c0617c4e8b", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-evidence-proof", "evidence": "Bioeconomy, grid, EV, finance, carbon markets, green AI deep dives with sizing and case studies", "position": 4, "confidence": 88, "parentBeatName": "Evidence", "parentBeatSlug": "evidence" }, { "to": 151, "from": 59, "beatId": "019dd95a-07a5-761b-9144-a5b7a27b3bf4", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Action (Now What)", "beatSlug": "triple-take-the-action-now-what", "evidence": "Per-system implementation levers and recommendations", "position": 3, "confidence": 70, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5de0-76bd-a16b-451df9a6d149", "docSlug": "e97464cc0a103dac", "documentTitle": "Southeast Asia's Green Economy", "authorId": "Bain", "authorName": "Bain & Company", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 96, "slideType": "impact_sizing", "function": "quantify_impact", "notes": "The slide uses a causal loop/systems thinking diagram to show how EV interventions interact with other sectors.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5de0-76bd-a16b-451df9a6d149/96", "deckHref": "/decks/019dd923-5de0-76bd-a16b-451df9a6d149", "deckAnchorHref": "/decks/019dd923-5de0-76bd-a16b-451df9a6d149#slide-96", "loopMatches": [ { "to": 103, "from": 89, "name": "Root Cause Tree", "slug": "37-root-cause-tree", "bestFor": "Problem diagnosis, quality issues, operational failures", "matchId": "019dd95a-088c-724c-b313-5aace09b95bc", "evidence": "Takeaways -> emissions/adoption data -> systemic challenges -> $53B impact -> levers -> investable ideas -> recommendations.", "position": 11, "objective": "Diagnose EV adoption gap and lay out a dual demand+production strategy", "structure": "The Problem -> Branch 1 (Cause A) -> Branch 2 (Cause B) -> Branch 3 (Cause C) -> The Primary Root", "confidence": 80, "description": "Branch out from a problem to its multiple contributing causes" } ], "arcBeatMatches": [ { "to": 145, "from": 59, "beatId": "019dd95a-07a5-761b-9144-94c0617c4e8b", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-evidence-proof", "evidence": "Bioeconomy, grid, EV, finance, carbon markets, green AI deep dives with sizing and case studies", "position": 4, "confidence": 88, "parentBeatName": "Evidence", "parentBeatSlug": "evidence" }, { "to": 151, "from": 59, "beatId": "019dd95a-07a5-761b-9144-a5b7a27b3bf4", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Action (Now What)", "beatSlug": "triple-take-the-action-now-what", "evidence": "Per-system implementation levers and recommendations", "position": 3, "confidence": 70, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5de0-76bd-a16b-451df9a6d149", "docSlug": "e97464cc0a103dac", "documentTitle": "Southeast Asia's Green Economy", "authorId": "Bain", "authorName": "Bain & Company", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 97, "slideType": "regional_insights", "function": "size_opportunity", "notes": "The slide uses stacked bar charts to assess opportunity and a geographic map to visualize investment flows.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5de0-76bd-a16b-451df9a6d149/97", "deckHref": "/decks/019dd923-5de0-76bd-a16b-451df9a6d149", "deckAnchorHref": "/decks/019dd923-5de0-76bd-a16b-451df9a6d149#slide-97", "loopMatches": [ { "to": 103, "from": 89, "name": "Root Cause Tree", "slug": "37-root-cause-tree", "bestFor": "Problem diagnosis, quality issues, operational failures", "matchId": "019dd95a-088c-724c-b313-5aace09b95bc", "evidence": "Takeaways -> emissions/adoption data -> systemic challenges -> $53B impact -> levers -> investable ideas -> recommendations.", "position": 11, "objective": "Diagnose EV adoption gap and lay out a dual demand+production strategy", "structure": "The Problem -> Branch 1 (Cause A) -> Branch 2 (Cause B) -> Branch 3 (Cause C) -> The Primary Root", "confidence": 80, "description": "Branch out from a problem to its multiple contributing causes" } ], "arcBeatMatches": [ { "to": 145, "from": 59, "beatId": "019dd95a-07a5-761b-9144-94c0617c4e8b", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-evidence-proof", "evidence": "Bioeconomy, grid, EV, finance, carbon markets, green AI deep dives with sizing and case studies", "position": 4, "confidence": 88, "parentBeatName": "Evidence", "parentBeatSlug": "evidence" }, { "to": 151, "from": 59, "beatId": "019dd95a-07a5-761b-9144-a5b7a27b3bf4", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Action (Now What)", "beatSlug": "triple-take-the-action-now-what", "evidence": "Per-system implementation levers and recommendations", "position": 3, "confidence": 70, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5de0-76bd-a16b-451df9a6d149", "docSlug": "e97464cc0a103dac", "documentTitle": "Southeast Asia's Green Economy", "authorId": "Bain", "authorName": "Bain & Company", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 98, "slideType": "implementation_plan", "function": "plan_implementation", "notes": "The slide uses a color-coded legend for 'Ease of implementation' (High, Moderate, Low).", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5de0-76bd-a16b-451df9a6d149/98", "deckHref": "/decks/019dd923-5de0-76bd-a16b-451df9a6d149", "deckAnchorHref": "/decks/019dd923-5de0-76bd-a16b-451df9a6d149#slide-98", "loopMatches": [ { "to": 103, "from": 89, "name": "Root Cause Tree", "slug": "37-root-cause-tree", "bestFor": "Problem diagnosis, quality issues, operational failures", "matchId": "019dd95a-088c-724c-b313-5aace09b95bc", "evidence": "Takeaways -> emissions/adoption data -> systemic challenges -> $53B impact -> levers -> investable ideas -> recommendations.", "position": 11, "objective": "Diagnose EV adoption gap and lay out a dual demand+production strategy", "structure": "The Problem -> Branch 1 (Cause A) -> Branch 2 (Cause B) -> Branch 3 (Cause C) -> The Primary Root", "confidence": 80, "description": "Branch out from a problem to its multiple contributing causes" } ], "arcBeatMatches": [ { "to": 145, "from": 59, "beatId": "019dd95a-07a5-761b-9144-94c0617c4e8b", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-evidence-proof", "evidence": "Bioeconomy, grid, EV, finance, carbon markets, green AI deep dives with sizing and case studies", "position": 4, "confidence": 88, "parentBeatName": "Evidence", "parentBeatSlug": "evidence" }, { "to": 151, "from": 59, "beatId": "019dd95a-07a5-761b-9144-a5b7a27b3bf4", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Action (Now What)", "beatSlug": "triple-take-the-action-now-what", "evidence": "Per-system implementation levers and recommendations", "position": 3, "confidence": 70, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5de0-76bd-a16b-451df9a6d149", "docSlug": "e97464cc0a103dac", "documentTitle": "Southeast Asia's Green Economy", "authorId": "Bain", "authorName": "Bain & Company", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 99, "slideType": "strategic_options", "function": "present_solution", "notes": "Includes a map-based illustration of a logistics network with charging infrastructure.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5de0-76bd-a16b-451df9a6d149/99", "deckHref": "/decks/019dd923-5de0-76bd-a16b-451df9a6d149", "deckAnchorHref": "/decks/019dd923-5de0-76bd-a16b-451df9a6d149#slide-99", "loopMatches": [ { "to": 103, "from": 89, "name": "Root Cause Tree", "slug": "37-root-cause-tree", "bestFor": "Problem diagnosis, quality issues, operational failures", "matchId": "019dd95a-088c-724c-b313-5aace09b95bc", "evidence": "Takeaways -> emissions/adoption data -> systemic challenges -> $53B impact -> levers -> investable ideas -> recommendations.", "position": 11, "objective": "Diagnose EV adoption gap and lay out a dual demand+production strategy", "structure": "The Problem -> Branch 1 (Cause A) -> Branch 2 (Cause B) -> Branch 3 (Cause C) -> The Primary Root", "confidence": 80, "description": "Branch out from a problem to its multiple contributing causes" } ], "arcBeatMatches": [ { "to": 145, "from": 59, "beatId": "019dd95a-07a5-761b-9144-94c0617c4e8b", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-evidence-proof", "evidence": "Bioeconomy, grid, EV, finance, carbon markets, green AI deep dives with sizing and case studies", "position": 4, "confidence": 88, "parentBeatName": "Evidence", "parentBeatSlug": "evidence" }, { "to": 151, "from": 59, "beatId": "019dd95a-07a5-761b-9144-a5b7a27b3bf4", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Action (Now What)", "beatSlug": "triple-take-the-action-now-what", "evidence": "Per-system implementation levers and recommendations", "position": 3, "confidence": 70, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5de0-76bd-a16b-451df9a6d149", "docSlug": "e97464cc0a103dac", "documentTitle": "Southeast Asia's Green Economy", "authorId": "Bain", "authorName": "Bain & Company", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 100, "slideType": "case_study", "function": "illustrate_case", "notes": null, "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5de0-76bd-a16b-451df9a6d149/100", "deckHref": "/decks/019dd923-5de0-76bd-a16b-451df9a6d149", "deckAnchorHref": "/decks/019dd923-5de0-76bd-a16b-451df9a6d149#slide-100", "loopMatches": [ { "to": 103, "from": 89, "name": "Root Cause Tree", "slug": "37-root-cause-tree", "bestFor": "Problem diagnosis, quality issues, operational failures", "matchId": "019dd95a-088c-724c-b313-5aace09b95bc", "evidence": "Takeaways -> emissions/adoption data -> systemic challenges -> $53B impact -> levers -> investable ideas -> recommendations.", "position": 11, "objective": "Diagnose EV adoption gap and lay out a dual demand+production strategy", "structure": "The Problem -> Branch 1 (Cause A) -> Branch 2 (Cause B) -> Branch 3 (Cause C) -> The Primary Root", "confidence": 80, "description": "Branch out from a problem to its multiple contributing causes" } ], "arcBeatMatches": [ { "to": 145, "from": 59, "beatId": "019dd95a-07a5-761b-9144-94c0617c4e8b", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-evidence-proof", "evidence": "Bioeconomy, grid, EV, finance, carbon markets, green AI deep dives with sizing and case studies", "position": 4, "confidence": 88, "parentBeatName": "Evidence", "parentBeatSlug": "evidence" }, { "to": 151, "from": 59, "beatId": "019dd95a-07a5-761b-9144-a5b7a27b3bf4", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Action (Now What)", "beatSlug": "triple-take-the-action-now-what", "evidence": "Per-system implementation levers and recommendations", "position": 3, "confidence": 70, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5de0-76bd-a16b-451df9a6d149", "docSlug": "e97464cc0a103dac", "documentTitle": "Southeast Asia's Green Economy", "authorId": "Bain", "authorName": "Bain & Company", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 101, "slideType": "comparison_table", "function": "present_solution", "notes": "The slide uses a matrix structure to map collaboration opportunities against their respective impacts on SEA and APAC.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5de0-76bd-a16b-451df9a6d149/101", "deckHref": "/decks/019dd923-5de0-76bd-a16b-451df9a6d149", "deckAnchorHref": "/decks/019dd923-5de0-76bd-a16b-451df9a6d149#slide-101", "loopMatches": [ { "to": 103, "from": 89, "name": "Root Cause Tree", "slug": "37-root-cause-tree", "bestFor": "Problem diagnosis, quality issues, operational failures", "matchId": "019dd95a-088c-724c-b313-5aace09b95bc", "evidence": "Takeaways -> emissions/adoption data -> systemic challenges -> $53B impact -> levers -> investable ideas -> recommendations.", "position": 11, "objective": "Diagnose EV adoption gap and lay out a dual demand+production strategy", "structure": "The Problem -> Branch 1 (Cause A) -> Branch 2 (Cause B) -> Branch 3 (Cause C) -> The Primary Root", "confidence": 80, "description": "Branch out from a problem to its multiple contributing causes" } ], "arcBeatMatches": [ { "to": 145, "from": 59, "beatId": "019dd95a-07a5-761b-9144-94c0617c4e8b", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-evidence-proof", "evidence": "Bioeconomy, grid, EV, finance, carbon markets, green AI deep dives with sizing and case studies", "position": 4, "confidence": 88, "parentBeatName": "Evidence", "parentBeatSlug": "evidence" }, { "to": 151, "from": 59, "beatId": "019dd95a-07a5-761b-9144-a5b7a27b3bf4", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Action (Now What)", "beatSlug": "triple-take-the-action-now-what", "evidence": "Per-system implementation levers and recommendations", "position": 3, "confidence": 70, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5de0-76bd-a16b-451df9a6d149", "docSlug": "e97464cc0a103dac", "documentTitle": "Southeast Asia's Green Economy", "authorId": "Bain", "authorName": "Bain & Company", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 102, "slideType": "market_landscape", "function": "size_opportunity", "notes": "Uses a value chain framework to compare segments from raw materials to charging.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5de0-76bd-a16b-451df9a6d149/102", "deckHref": "/decks/019dd923-5de0-76bd-a16b-451df9a6d149", "deckAnchorHref": "/decks/019dd923-5de0-76bd-a16b-451df9a6d149#slide-102", "loopMatches": [ { "to": 103, "from": 89, "name": "Root Cause Tree", "slug": "37-root-cause-tree", "bestFor": "Problem diagnosis, quality issues, operational failures", "matchId": "019dd95a-088c-724c-b313-5aace09b95bc", "evidence": "Takeaways -> emissions/adoption data -> systemic challenges -> $53B impact -> levers -> investable ideas -> recommendations.", "position": 11, "objective": "Diagnose EV adoption gap and lay out a dual demand+production strategy", "structure": "The Problem -> Branch 1 (Cause A) -> Branch 2 (Cause B) -> Branch 3 (Cause C) -> The Primary Root", "confidence": 80, "description": "Branch out from a problem to its multiple contributing causes" } ], "arcBeatMatches": [ { "to": 145, "from": 59, "beatId": "019dd95a-07a5-761b-9144-94c0617c4e8b", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-evidence-proof", "evidence": "Bioeconomy, grid, EV, finance, carbon markets, green AI deep dives with sizing and case studies", "position": 4, "confidence": 88, "parentBeatName": "Evidence", "parentBeatSlug": "evidence" }, { "to": 151, "from": 59, "beatId": "019dd95a-07a5-761b-9144-a5b7a27b3bf4", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Action (Now What)", "beatSlug": "triple-take-the-action-now-what", "evidence": "Per-system implementation levers and recommendations", "position": 3, "confidence": 70, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5de0-76bd-a16b-451df9a6d149", "docSlug": "e97464cc0a103dac", "documentTitle": "Southeast Asia's Green Economy", "authorId": "Bain", "authorName": "Bain & Company", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 103, "slideType": "recommendation", "function": "recommend", "notes": "The slide uses a three-column layout to categorize recommendations by stakeholder group.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5de0-76bd-a16b-451df9a6d149/103", "deckHref": "/decks/019dd923-5de0-76bd-a16b-451df9a6d149", "deckAnchorHref": "/decks/019dd923-5de0-76bd-a16b-451df9a6d149#slide-103", "loopMatches": [ { "to": 103, "from": 89, "name": "Root Cause Tree", "slug": "37-root-cause-tree", "bestFor": "Problem diagnosis, quality issues, operational failures", "matchId": "019dd95a-088c-724c-b313-5aace09b95bc", "evidence": "Takeaways -> emissions/adoption data -> systemic challenges -> $53B impact -> levers -> investable ideas -> recommendations.", "position": 11, "objective": "Diagnose EV adoption gap and lay out a dual demand+production strategy", "structure": "The Problem -> Branch 1 (Cause A) -> Branch 2 (Cause B) -> Branch 3 (Cause C) -> The Primary Root", "confidence": 80, "description": "Branch out from a problem to its multiple contributing causes" } ], "arcBeatMatches": [ { "to": 145, "from": 59, "beatId": "019dd95a-07a5-761b-9144-94c0617c4e8b", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-evidence-proof", "evidence": "Bioeconomy, grid, EV, finance, carbon markets, green AI deep dives with sizing and case studies", "position": 4, "confidence": 88, "parentBeatName": "Evidence", "parentBeatSlug": "evidence" }, { "to": 151, "from": 59, "beatId": "019dd95a-07a5-761b-9144-a5b7a27b3bf4", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Action (Now What)", "beatSlug": "triple-take-the-action-now-what", "evidence": "Per-system implementation levers and recommendations", "position": 3, "confidence": 70, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5de0-76bd-a16b-451df9a6d149", "docSlug": "e97464cc0a103dac", "documentTitle": "Southeast Asia's Green Economy", "authorId": "Bain", "authorName": "Bain & Company", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 104, "slideType": "section_divider", "function": "transition", "notes": "The slide uses a large '08' as a section number and an illustration of green buildings with dollar signs and a cyclist.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5de0-76bd-a16b-451df9a6d149/104", "deckHref": "/decks/019dd923-5de0-76bd-a16b-451df9a6d149", "deckAnchorHref": "/decks/019dd923-5de0-76bd-a16b-451df9a6d149#slide-104", "loopMatches": [], "arcBeatMatches": [ { "to": 145, "from": 59, "beatId": "019dd95a-07a5-761b-9144-94c0617c4e8b", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-evidence-proof", "evidence": "Bioeconomy, grid, EV, finance, carbon markets, green AI deep dives with sizing and case studies", "position": 4, "confidence": 88, "parentBeatName": "Evidence", "parentBeatSlug": "evidence" }, { "to": 151, "from": 59, "beatId": "019dd95a-07a5-761b-9144-a5b7a27b3bf4", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Action (Now What)", "beatSlug": "triple-take-the-action-now-what", "evidence": "Per-system implementation levers and recommendations", "position": 3, "confidence": 70, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true } ] }