{ "kind": "all", "value": "all", "collectionKey": "slides:all:all:all-document-kinds:all-producers:all-orientations", "filters": { "documentKinds": [], "sourceTypes": [], "orientations": [] }, "total": 319975, "page": 116, "pageSize": 30, "pageCount": 10666, "rows": [ { "docId": "019dd923-5ca1-7489-b634-c8c7c89d1e97", "docSlug": "1b64d126e472d1d4", "documentTitle": "Media Entertainment Industry NYC", "authorId": "BCG", "authorName": "BCG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.294, "pageNumber": 16, "slideType": "industry_trends", "function": "analyze_data", "notes": "Includes a dual-axis combo chart (bar/line) and a donut chart showing pilot retention.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b634-c8c7c89d1e97/16", "deckHref": "/decks/019dd923-5ca1-7489-b634-c8c7c89d1e97", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b634-c8c7c89d1e97#slide-16", "loopMatches": [ { "to": 16, "from": 14, "name": "Zoom In", "slug": "06-zoom-in", "bestFor": "Technical deep-dives, case studies, detailed analysis", "matchId": "019dd95a-088b-72c8-b7e5-e7104b989277", "evidence": "TV-specific FTE/spend deep-dive then churn diagnosis on pilots", "position": 4, "objective": "Zoom into NYC TV economics and churn risk", "structure": "The Big Picture -> Key Area of Focus -> Specific Detail -> Implication", "confidence": 78, "description": "Start broad, then progressively focus on specific details that prove your point" } ], "arcBeatMatches": [ { "to": 38, "from": 7, "beatId": "019dd95a-0702-74a3-87de-591ed7ae15c0", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-evidence-proof", "evidence": "Data-rich analysis: TV growth, tourism, indie scene, digital, aggregate FTEs", "position": 4, "confidence": 78, "parentBeatName": "Evidence", "parentBeatSlug": "evidence" }, { "to": 38, "from": 7, "beatId": "019dd95a-0702-74a3-87de-6740b2f28d6f", "arcName": "The Mountain", "arcSlug": "mountain", "beatName": "Rising Action", "beatSlug": "mountain-rising-action", "evidence": "Layered data across film, TV, theatre, digital", "position": 2, "confidence": 62, "parentBeatName": "Development", "parentBeatSlug": "development" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b634-c8c7c89d1e97", "docSlug": "1b64d126e472d1d4", "documentTitle": "Media Entertainment Industry NYC", "authorId": "BCG", "authorName": "BCG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.294, "pageNumber": 17, "slideType": "data_table", "function": "analyze_data", "notes": "The slide uses stacked bar charts to segment audience origin and show-related motivation.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b634-c8c7c89d1e97/17", "deckHref": "/decks/019dd923-5ca1-7489-b634-c8c7c89d1e97", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b634-c8c7c89d1e97#slide-17", "loopMatches": [ { "to": 23, "from": 17, "name": "Ripple Effect", "slug": "26-ripple-effect", "bestFor": "Change management, scaling initiatives, demonstrating broad value", "matchId": "019dd95a-088b-72c8-b7e5-e8ee27713ee2", "evidence": "Tourism $45M, production-related 37K, indirect ~20K via spend ripple diagram", "position": 5, "objective": "Show how filming ripples through tourism + jobs", "structure": "Individual Impact -> Team Impact -> Organizational Impact -> Market/Industry Impact", "confidence": 80, "description": "Show how impact spreads from individual to team to organization to market" } ], "arcBeatMatches": [ { "to": 38, "from": 7, "beatId": "019dd95a-0702-74a3-87de-591ed7ae15c0", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-evidence-proof", "evidence": "Data-rich analysis: TV growth, tourism, indie scene, digital, aggregate FTEs", "position": 4, "confidence": 78, "parentBeatName": "Evidence", "parentBeatSlug": "evidence" }, { "to": 38, "from": 7, "beatId": "019dd95a-0702-74a3-87de-6740b2f28d6f", "arcName": "The Mountain", "arcSlug": "mountain", "beatName": "Rising Action", "beatSlug": "mountain-rising-action", "evidence": "Layered data across film, TV, theatre, digital", "position": 2, "confidence": 62, "parentBeatName": "Development", "parentBeatSlug": "development" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b634-c8c7c89d1e97", "docSlug": "1b64d126e472d1d4", "documentTitle": "Media Entertainment Industry NYC", "authorId": "BCG", "authorName": "BCG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.294, "pageNumber": 18, "slideType": "market_sizing", "function": "size_opportunity", "notes": "Uses a bottom-up approach starting from show-specific audience counts to estimate total tourist spending.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b634-c8c7c89d1e97/18", "deckHref": "/decks/019dd923-5ca1-7489-b634-c8c7c89d1e97", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b634-c8c7c89d1e97#slide-18", "loopMatches": [ { "to": 23, "from": 17, "name": "Ripple Effect", "slug": "26-ripple-effect", "bestFor": "Change management, scaling initiatives, demonstrating broad value", "matchId": "019dd95a-088b-72c8-b7e5-e8ee27713ee2", "evidence": "Tourism $45M, production-related 37K, indirect ~20K via spend ripple diagram", "position": 5, "objective": "Show how filming ripples through tourism + jobs", "structure": "Individual Impact -> Team Impact -> Organizational Impact -> Market/Industry Impact", "confidence": 80, "description": "Show how impact spreads from individual to team to organization to market" } ], "arcBeatMatches": [ { "to": 38, "from": 7, "beatId": "019dd95a-0702-74a3-87de-591ed7ae15c0", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-evidence-proof", "evidence": "Data-rich analysis: TV growth, tourism, indie scene, digital, aggregate FTEs", "position": 4, "confidence": 78, "parentBeatName": "Evidence", "parentBeatSlug": "evidence" }, { "to": 38, "from": 7, "beatId": "019dd95a-0702-74a3-87de-6740b2f28d6f", "arcName": "The Mountain", "arcSlug": "mountain", "beatName": "Rising Action", "beatSlug": "mountain-rising-action", "evidence": "Layered data across film, TV, theatre, digital", "position": 2, "confidence": 62, "parentBeatName": "Development", "parentBeatSlug": "development" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b634-c8c7c89d1e97", "docSlug": "1b64d126e472d1d4", "documentTitle": "Media Entertainment Industry NYC", "authorId": "BCG", "authorName": "BCG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.294, "pageNumber": 19, "slideType": "industry_trends", "function": "analyze_data", "notes": "The chart shows a clear shift in capital allocation toward the $150M+ budget segment.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b634-c8c7c89d1e97/19", "deckHref": "/decks/019dd923-5ca1-7489-b634-c8c7c89d1e97", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b634-c8c7c89d1e97#slide-19", "loopMatches": [ { "to": 23, "from": 17, "name": "Ripple Effect", "slug": "26-ripple-effect", "bestFor": "Change management, scaling initiatives, demonstrating broad value", "matchId": "019dd95a-088b-72c8-b7e5-e8ee27713ee2", "evidence": "Tourism $45M, production-related 37K, indirect ~20K via spend ripple diagram", "position": 5, "objective": "Show how filming ripples through tourism + jobs", "structure": "Individual Impact -> Team Impact -> Organizational Impact -> Market/Industry Impact", "confidence": 80, "description": "Show how impact spreads from individual to team to organization to market" }, { "to": 21, "from": 19, "name": "Tale Two Worlds", "slug": "04-tale-two-worlds", "bestFor": "Competitive analysis, benchmarking, case for change", "matchId": "019dd95a-088b-72c8-b7e5-ec755314f43a", "evidence": "Concentration into $150M+ tentpoles vs variability + indie context", "position": 6, "objective": "Contrast tentpoles vs indies in movie spend", "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication", "confidence": 70, "description": "Show the gap between two states to drive urgency or highlight opportunity" } ], "arcBeatMatches": [ { "to": 38, "from": 7, "beatId": "019dd95a-0702-74a3-87de-591ed7ae15c0", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-evidence-proof", "evidence": "Data-rich analysis: TV growth, tourism, indie scene, digital, aggregate FTEs", "position": 4, "confidence": 78, "parentBeatName": "Evidence", "parentBeatSlug": "evidence" }, { "to": 38, "from": 7, "beatId": "019dd95a-0702-74a3-87de-6740b2f28d6f", "arcName": "The Mountain", "arcSlug": "mountain", "beatName": "Rising Action", "beatSlug": "mountain-rising-action", "evidence": "Layered data across film, TV, theatre, digital", "position": 2, "confidence": 62, "parentBeatName": "Development", "parentBeatSlug": "development" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b634-c8c7c89d1e97", "docSlug": "1b64d126e472d1d4", "documentTitle": "Media Entertainment Industry NYC", "authorId": "BCG", "authorName": "BCG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.294, "pageNumber": 20, "slideType": "industry_trends", "function": "analyze_data", "notes": "The chart compares total budget dollars for top 100 grossing movies between 2001-2004 and 2011-2014, categorized by concept familiarity.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b634-c8c7c89d1e97/20", "deckHref": "/decks/019dd923-5ca1-7489-b634-c8c7c89d1e97", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b634-c8c7c89d1e97#slide-20", "loopMatches": [ { "to": 23, "from": 17, "name": "Ripple Effect", "slug": "26-ripple-effect", "bestFor": "Change management, scaling initiatives, demonstrating broad value", "matchId": "019dd95a-088b-72c8-b7e5-e8ee27713ee2", "evidence": "Tourism $45M, production-related 37K, indirect ~20K via spend ripple diagram", "position": 5, "objective": "Show how filming ripples through tourism + jobs", "structure": "Individual Impact -> Team Impact -> Organizational Impact -> Market/Industry Impact", "confidence": 80, "description": "Show how impact spreads from individual to team to organization to market" }, { "to": 21, "from": 19, "name": "Tale Two Worlds", "slug": "04-tale-two-worlds", "bestFor": "Competitive analysis, benchmarking, case for change", "matchId": "019dd95a-088b-72c8-b7e5-ec755314f43a", "evidence": "Concentration into $150M+ tentpoles vs variability + indie context", "position": 6, "objective": "Contrast tentpoles vs indies in movie spend", "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication", "confidence": 70, "description": "Show the gap between two states to drive urgency or highlight opportunity" } ], "arcBeatMatches": [ { "to": 38, "from": 7, "beatId": "019dd95a-0702-74a3-87de-591ed7ae15c0", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-evidence-proof", "evidence": "Data-rich analysis: TV growth, tourism, indie scene, digital, aggregate FTEs", "position": 4, "confidence": 78, "parentBeatName": "Evidence", "parentBeatSlug": "evidence" }, { "to": 38, "from": 7, "beatId": "019dd95a-0702-74a3-87de-6740b2f28d6f", "arcName": "The Mountain", "arcSlug": "mountain", "beatName": "Rising Action", "beatSlug": "mountain-rising-action", "evidence": "Layered data across film, TV, theatre, digital", "position": 2, "confidence": 62, "parentBeatName": "Development", "parentBeatSlug": "development" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b634-c8c7c89d1e97", "docSlug": "1b64d126e472d1d4", "documentTitle": "Media Entertainment Industry NYC", "authorId": "BCG", "authorName": "BCG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.294, "pageNumber": 21, "slideType": "data_table", "function": "analyze_data", "notes": "Includes BCG logo and copyright notice. Data source: MOME permitting and city incentive application data; BCG Filmed Entertainment model.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b634-c8c7c89d1e97/21", "deckHref": "/decks/019dd923-5ca1-7489-b634-c8c7c89d1e97", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b634-c8c7c89d1e97#slide-21", "loopMatches": [ { "to": 23, "from": 17, "name": "Ripple Effect", "slug": "26-ripple-effect", "bestFor": "Change management, scaling initiatives, demonstrating broad value", "matchId": "019dd95a-088b-72c8-b7e5-e8ee27713ee2", "evidence": "Tourism $45M, production-related 37K, indirect ~20K via spend ripple diagram", "position": 5, "objective": "Show how filming ripples through tourism + jobs", "structure": "Individual Impact -> Team Impact -> Organizational Impact -> Market/Industry Impact", "confidence": 80, "description": "Show how impact spreads from individual to team to organization to market" }, { "to": 21, "from": 19, "name": "Tale Two Worlds", "slug": "04-tale-two-worlds", "bestFor": "Competitive analysis, benchmarking, case for change", "matchId": "019dd95a-088b-72c8-b7e5-ec755314f43a", "evidence": "Concentration into $150M+ tentpoles vs variability + indie context", "position": 6, "objective": "Contrast tentpoles vs indies in movie spend", "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication", "confidence": 70, "description": "Show the gap between two states to drive urgency or highlight opportunity" } ], "arcBeatMatches": [ { "to": 38, "from": 7, "beatId": "019dd95a-0702-74a3-87de-591ed7ae15c0", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-evidence-proof", "evidence": "Data-rich analysis: TV growth, tourism, indie scene, digital, aggregate FTEs", "position": 4, "confidence": 78, "parentBeatName": "Evidence", "parentBeatSlug": "evidence" }, { "to": 38, "from": 7, "beatId": "019dd95a-0702-74a3-87de-6740b2f28d6f", "arcName": "The Mountain", "arcSlug": "mountain", "beatName": "Rising Action", "beatSlug": "mountain-rising-action", "evidence": "Layered data across film, TV, theatre, digital", "position": 2, "confidence": 62, "parentBeatName": "Development", "parentBeatSlug": "development" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b634-c8c7c89d1e97", "docSlug": "1b64d126e472d1d4", "documentTitle": "Media Entertainment Industry NYC", "authorId": "BCG", "authorName": "BCG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.294, "pageNumber": 22, "slideType": "impact_sizing", "function": "quantify_impact", "notes": "The chart highlights a 14% growth in production-related FTEs since 2011.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b634-c8c7c89d1e97/22", "deckHref": "/decks/019dd923-5ca1-7489-b634-c8c7c89d1e97", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b634-c8c7c89d1e97#slide-22", "loopMatches": [ { "to": 23, "from": 17, "name": "Ripple Effect", "slug": "26-ripple-effect", "bestFor": "Change management, scaling initiatives, demonstrating broad value", "matchId": "019dd95a-088b-72c8-b7e5-e8ee27713ee2", "evidence": "Tourism $45M, production-related 37K, indirect ~20K via spend ripple diagram", "position": 5, "objective": "Show how filming ripples through tourism + jobs", "structure": "Individual Impact -> Team Impact -> Organizational Impact -> Market/Industry Impact", "confidence": 80, "description": "Show how impact spreads from individual to team to organization to market" } ], "arcBeatMatches": [ { "to": 38, "from": 7, "beatId": "019dd95a-0702-74a3-87de-591ed7ae15c0", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-evidence-proof", "evidence": "Data-rich analysis: TV growth, tourism, indie scene, digital, aggregate FTEs", "position": 4, "confidence": 78, "parentBeatName": "Evidence", "parentBeatSlug": "evidence" }, { "to": 38, "from": 7, "beatId": "019dd95a-0702-74a3-87de-6740b2f28d6f", "arcName": "The Mountain", "arcSlug": "mountain", "beatName": "Rising Action", "beatSlug": "mountain-rising-action", "evidence": "Layered data across film, TV, theatre, digital", "position": 2, "confidence": 62, "parentBeatName": "Development", "parentBeatSlug": "development" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b634-c8c7c89d1e97", "docSlug": "1b64d126e472d1d4", "documentTitle": "Media Entertainment Industry NYC", "authorId": "BCG", "authorName": "BCG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.294, "pageNumber": 23, "slideType": "impact_sizing", "function": "quantify_impact", "notes": "Uses a process flow diagram to explain the economic multiplier effect.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b634-c8c7c89d1e97/23", "deckHref": "/decks/019dd923-5ca1-7489-b634-c8c7c89d1e97", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b634-c8c7c89d1e97#slide-23", "loopMatches": [ { "to": 23, "from": 17, "name": "Ripple Effect", "slug": "26-ripple-effect", "bestFor": "Change management, scaling initiatives, demonstrating broad value", "matchId": "019dd95a-088b-72c8-b7e5-e8ee27713ee2", "evidence": "Tourism $45M, production-related 37K, indirect ~20K via spend ripple diagram", "position": 5, "objective": "Show how filming ripples through tourism + jobs", "structure": "Individual Impact -> Team Impact -> Organizational Impact -> Market/Industry Impact", "confidence": 80, "description": "Show how impact spreads from individual to team to organization to market" } ], "arcBeatMatches": [ { "to": 38, "from": 7, "beatId": "019dd95a-0702-74a3-87de-591ed7ae15c0", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-evidence-proof", "evidence": "Data-rich analysis: TV growth, tourism, indie scene, digital, aggregate FTEs", "position": 4, "confidence": 78, "parentBeatName": "Evidence", "parentBeatSlug": "evidence" }, { "to": 38, "from": 7, "beatId": "019dd95a-0702-74a3-87de-6740b2f28d6f", "arcName": "The Mountain", "arcSlug": "mountain", "beatName": "Rising Action", "beatSlug": "mountain-rising-action", "evidence": "Layered data across film, TV, theatre, digital", "position": 2, "confidence": 62, "parentBeatName": "Development", "parentBeatSlug": "development" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b634-c8c7c89d1e97", "docSlug": "1b64d126e472d1d4", "documentTitle": "Media Entertainment Industry NYC", "authorId": "BCG", "authorName": "BCG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.294, "pageNumber": 24, "slideType": "key_takeaways", "function": "summarize", "notes": "The slide uses a 2x2 layout to categorize qualitative findings from interviews.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b634-c8c7c89d1e97/24", "deckHref": "/decks/019dd923-5ca1-7489-b634-c8c7c89d1e97", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b634-c8c7c89d1e97#slide-24", "loopMatches": [ { "to": 26, "from": 24, "name": "Zoom In", "slug": "06-zoom-in", "bestFor": "Technical deep-dives, case studies, detailed analysis", "matchId": "019dd95a-088b-72c8-b7e5-f25482dddaab", "evidence": "Indie scene as differentiator -> NYC documentary dominance -> talent base", "position": 7, "objective": "Zoom into NYC indie/documentary differentiator", "structure": "The Big Picture -> Key Area of Focus -> Specific Detail -> Implication", "confidence": 76, "description": "Start broad, then progressively focus on specific details that prove your point" } ], "arcBeatMatches": [ { "to": 38, "from": 7, "beatId": "019dd95a-0702-74a3-87de-591ed7ae15c0", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-evidence-proof", "evidence": "Data-rich analysis: TV growth, tourism, indie scene, digital, aggregate FTEs", "position": 4, "confidence": 78, "parentBeatName": "Evidence", "parentBeatSlug": "evidence" }, { "to": 38, "from": 7, "beatId": "019dd95a-0702-74a3-87de-6740b2f28d6f", "arcName": "The Mountain", "arcSlug": "mountain", "beatName": "Rising Action", "beatSlug": "mountain-rising-action", "evidence": "Layered data across film, TV, theatre, digital", "position": 2, "confidence": 62, "parentBeatName": "Development", "parentBeatSlug": "development" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b634-c8c7c89d1e97", "docSlug": "1b64d126e472d1d4", "documentTitle": "Media Entertainment Industry NYC", "authorId": "BCG", "authorName": "BCG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.294, "pageNumber": 25, "slideType": "geographic_map", "function": "quantify_impact", "notes": "The slide uses bubble maps to represent the concentration of production companies across the US and internationally.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b634-c8c7c89d1e97/25", "deckHref": "/decks/019dd923-5ca1-7489-b634-c8c7c89d1e97", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b634-c8c7c89d1e97#slide-25", "loopMatches": [ { "to": 26, "from": 24, "name": "Zoom In", "slug": "06-zoom-in", "bestFor": "Technical deep-dives, case studies, detailed analysis", "matchId": "019dd95a-088b-72c8-b7e5-f25482dddaab", "evidence": "Indie scene as differentiator -> NYC documentary dominance -> talent base", "position": 7, "objective": "Zoom into NYC indie/documentary differentiator", "structure": "The Big Picture -> Key Area of Focus -> Specific Detail -> Implication", "confidence": 76, "description": "Start broad, then progressively focus on specific details that prove your point" } ], "arcBeatMatches": [ { "to": 38, "from": 7, "beatId": "019dd95a-0702-74a3-87de-591ed7ae15c0", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-evidence-proof", "evidence": "Data-rich analysis: TV growth, tourism, indie scene, digital, aggregate FTEs", "position": 4, "confidence": 78, "parentBeatName": "Evidence", "parentBeatSlug": "evidence" }, { "to": 38, "from": 7, "beatId": "019dd95a-0702-74a3-87de-6740b2f28d6f", "arcName": "The Mountain", "arcSlug": "mountain", "beatName": "Rising Action", "beatSlug": "mountain-rising-action", "evidence": "Layered data across film, TV, theatre, digital", "position": 2, "confidence": 62, "parentBeatName": "Development", "parentBeatSlug": "development" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b634-c8c7c89d1e97", "docSlug": "1b64d126e472d1d4", "documentTitle": "Media Entertainment Industry NYC", "authorId": "BCG", "authorName": "BCG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.294, "pageNumber": 26, "slideType": "diagnosis", "function": "diagnose", "notes": "The slide uses a three-part categorization (ATL, BTL, Post) to assess talent availability in NYC.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b634-c8c7c89d1e97/26", "deckHref": "/decks/019dd923-5ca1-7489-b634-c8c7c89d1e97", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b634-c8c7c89d1e97#slide-26", "loopMatches": [ { "to": 26, "from": 24, "name": "Zoom In", "slug": "06-zoom-in", "bestFor": "Technical deep-dives, case studies, detailed analysis", "matchId": "019dd95a-088b-72c8-b7e5-f25482dddaab", "evidence": "Indie scene as differentiator -> NYC documentary dominance -> talent base", "position": 7, "objective": "Zoom into NYC indie/documentary differentiator", "structure": "The Big Picture -> Key Area of Focus -> Specific Detail -> Implication", "confidence": 76, "description": "Start broad, then progressively focus on specific details that prove your point" } ], "arcBeatMatches": [ { "to": 38, "from": 7, "beatId": "019dd95a-0702-74a3-87de-591ed7ae15c0", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-evidence-proof", "evidence": "Data-rich analysis: TV growth, tourism, indie scene, digital, aggregate FTEs", "position": 4, "confidence": 78, "parentBeatName": "Evidence", "parentBeatSlug": "evidence" }, { "to": 38, "from": 7, "beatId": "019dd95a-0702-74a3-87de-6740b2f28d6f", "arcName": "The Mountain", "arcSlug": "mountain", "beatName": "Rising Action", "beatSlug": "mountain-rising-action", "evidence": "Layered data across film, TV, theatre, digital", "position": 2, "confidence": 62, "parentBeatName": "Development", "parentBeatSlug": "development" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b634-c8c7c89d1e97", "docSlug": "1b64d126e472d1d4", "documentTitle": "Media Entertainment Industry NYC", "authorId": "BCG", "authorName": "BCG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.294, "pageNumber": 27, "slideType": "agenda", "function": "front_matter", "notes": null, "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b634-c8c7c89d1e97/27", "deckHref": "/decks/019dd923-5ca1-7489-b634-c8c7c89d1e97", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b634-c8c7c89d1e97#slide-27", "loopMatches": [], "arcBeatMatches": [ { "to": 38, "from": 7, "beatId": "019dd95a-0702-74a3-87de-591ed7ae15c0", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-evidence-proof", "evidence": "Data-rich analysis: TV growth, tourism, indie scene, digital, aggregate FTEs", "position": 4, "confidence": 78, "parentBeatName": "Evidence", "parentBeatSlug": "evidence" }, { "to": 38, "from": 7, "beatId": "019dd95a-0702-74a3-87de-6740b2f28d6f", "arcName": "The Mountain", "arcSlug": "mountain", "beatName": "Rising Action", "beatSlug": "mountain-rising-action", "evidence": "Layered data across film, TV, theatre, digital", "position": 2, "confidence": 62, "parentBeatName": "Development", "parentBeatSlug": "development" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b634-c8c7c89d1e97", "docSlug": "1b64d126e472d1d4", "documentTitle": "Media Entertainment Industry NYC", "authorId": "BCG", "authorName": "BCG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.294, "pageNumber": 28, "slideType": "industry_trends", "function": "summarize", "notes": "The chart combines a bar chart for employment (FTEs) and a line chart for Broadway gross revenue. It uses a dual-axis approach.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b634-c8c7c89d1e97/28", "deckHref": "/decks/019dd923-5ca1-7489-b634-c8c7c89d1e97", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b634-c8c7c89d1e97#slide-28", "loopMatches": [ { "to": 30, "from": 28, "name": "Segmentation Split", "slug": "34-segmentation-split", "bestFor": "Customer analysis, market research, resource allocation", "matchId": "019dd95a-088b-72c8-b7e5-f44df9867016", "evidence": "Three contiguous slides each diagnosing one subsector", "position": 8, "objective": "Walk subsector performance: theatre/publishing/advertising", "structure": "The Aggregate View -> Segment A Behavior -> Segment B Behavior -> The Insight in the Difference", "confidence": 78, "description": "Divide a whole into meaningful segments to reveal hidden patterns" } ], "arcBeatMatches": [ { "to": 38, "from": 7, "beatId": "019dd95a-0702-74a3-87de-591ed7ae15c0", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-evidence-proof", "evidence": "Data-rich analysis: TV growth, tourism, indie scene, digital, aggregate FTEs", "position": 4, "confidence": 78, "parentBeatName": "Evidence", "parentBeatSlug": "evidence" }, { "to": 38, "from": 7, "beatId": "019dd95a-0702-74a3-87de-6740b2f28d6f", "arcName": "The Mountain", "arcSlug": "mountain", "beatName": "Rising Action", "beatSlug": "mountain-rising-action", "evidence": "Layered data across film, TV, theatre, digital", "position": 2, "confidence": 62, "parentBeatName": "Development", "parentBeatSlug": "development" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b634-c8c7c89d1e97", "docSlug": "1b64d126e472d1d4", "documentTitle": "Media Entertainment Industry NYC", "authorId": "BCG", "authorName": "BCG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.294, "pageNumber": 29, "slideType": "industry_trends", "function": "analyze_data", "notes": "The chart uses a dual-axis combination of stacked bars (FTEs) and line charts (revenues) to show the divergence between employment and revenue trends.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b634-c8c7c89d1e97/29", "deckHref": "/decks/019dd923-5ca1-7489-b634-c8c7c89d1e97", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b634-c8c7c89d1e97#slide-29", "loopMatches": [ { "to": 30, "from": 28, "name": "Segmentation Split", "slug": "34-segmentation-split", "bestFor": "Customer analysis, market research, resource allocation", "matchId": "019dd95a-088b-72c8-b7e5-f44df9867016", "evidence": "Three contiguous slides each diagnosing one subsector", "position": 8, "objective": "Walk subsector performance: theatre/publishing/advertising", "structure": "The Aggregate View -> Segment A Behavior -> Segment B Behavior -> The Insight in the Difference", "confidence": 78, "description": "Divide a whole into meaningful segments to reveal hidden patterns" } ], "arcBeatMatches": [ { "to": 38, "from": 7, "beatId": "019dd95a-0702-74a3-87de-591ed7ae15c0", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-evidence-proof", "evidence": "Data-rich analysis: TV growth, tourism, indie scene, digital, aggregate FTEs", "position": 4, "confidence": 78, "parentBeatName": "Evidence", "parentBeatSlug": "evidence" }, { "to": 38, "from": 7, "beatId": "019dd95a-0702-74a3-87de-6740b2f28d6f", "arcName": "The Mountain", "arcSlug": "mountain", "beatName": "Rising Action", "beatSlug": "mountain-rising-action", "evidence": "Layered data across film, TV, theatre, digital", "position": 2, "confidence": 62, "parentBeatName": "Development", "parentBeatSlug": "development" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b634-c8c7c89d1e97", "docSlug": "1b64d126e472d1d4", "documentTitle": "Media Entertainment Industry NYC", "authorId": "BCG", "authorName": "BCG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.294, "pageNumber": 30, "slideType": "industry_trends", "function": "analyze_data", "notes": "Includes a dual-axis chart showing FTEs and revenues, with a table for average salary at the bottom.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b634-c8c7c89d1e97/30", "deckHref": "/decks/019dd923-5ca1-7489-b634-c8c7c89d1e97", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b634-c8c7c89d1e97#slide-30", "loopMatches": [ { "to": 30, "from": 28, "name": "Segmentation Split", "slug": "34-segmentation-split", "bestFor": "Customer analysis, market research, resource allocation", "matchId": "019dd95a-088b-72c8-b7e5-f44df9867016", "evidence": "Three contiguous slides each diagnosing one subsector", "position": 8, "objective": "Walk subsector performance: theatre/publishing/advertising", "structure": "The Aggregate View -> Segment A Behavior -> Segment B Behavior -> The Insight in the Difference", "confidence": 78, "description": "Divide a whole into meaningful segments to reveal hidden patterns" } ], "arcBeatMatches": [ { "to": 38, "from": 7, "beatId": "019dd95a-0702-74a3-87de-591ed7ae15c0", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-evidence-proof", "evidence": "Data-rich analysis: TV growth, tourism, indie scene, digital, aggregate FTEs", "position": 4, "confidence": 78, "parentBeatName": "Evidence", "parentBeatSlug": "evidence" }, { "to": 38, "from": 7, "beatId": "019dd95a-0702-74a3-87de-6740b2f28d6f", "arcName": "The Mountain", "arcSlug": "mountain", "beatName": "Rising Action", "beatSlug": "mountain-rising-action", "evidence": "Layered data across film, TV, theatre, digital", "position": 2, "confidence": 62, "parentBeatName": "Development", "parentBeatSlug": "development" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b634-c8c7c89d1e97", "docSlug": "1b64d126e472d1d4", "documentTitle": "Media Entertainment Industry NYC", "authorId": "BCG", "authorName": "BCG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.294, "pageNumber": 31, "slideType": "agenda", "function": "summarize", "notes": null, "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b634-c8c7c89d1e97/31", "deckHref": "/decks/019dd923-5ca1-7489-b634-c8c7c89d1e97", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b634-c8c7c89d1e97#slide-31", "loopMatches": [], "arcBeatMatches": [ { "to": 38, "from": 7, "beatId": "019dd95a-0702-74a3-87de-591ed7ae15c0", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-evidence-proof", "evidence": "Data-rich analysis: TV growth, tourism, indie scene, digital, aggregate FTEs", "position": 4, "confidence": 78, "parentBeatName": "Evidence", "parentBeatSlug": "evidence" }, { "to": 38, "from": 7, "beatId": "019dd95a-0702-74a3-87de-6740b2f28d6f", "arcName": "The Mountain", "arcSlug": "mountain", "beatName": "Rising Action", "beatSlug": "mountain-rising-action", "evidence": "Layered data across film, TV, theatre, digital", "position": 2, "confidence": 62, "parentBeatName": "Development", "parentBeatSlug": "development" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b634-c8c7c89d1e97", "docSlug": "1b64d126e472d1d4", "documentTitle": "Media Entertainment Industry NYC", "authorId": "BCG", "authorName": "BCG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.294, "pageNumber": 32, "slideType": "market_landscape", "function": "analyze_data", "notes": "The slide uses a stacked bar chart to show total investment volume and a line chart to show market share trends.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b634-c8c7c89d1e97/32", "deckHref": "/decks/019dd923-5ca1-7489-b634-c8c7c89d1e97", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b634-c8c7c89d1e97#slide-32", "loopMatches": [ { "to": 34, "from": 32, "name": "Aha Moment", "slug": "03-aha-moment", "bestFor": "Data-heavy sections, research findings, analytical arguments", "matchId": "019dd95a-088b-72c8-b7e5-f8cf6f308d76", "evidence": "$1.5B funding, 27% of national; landscape; growth drivers", "position": 9, "objective": "Reveal NYC's digital-media surge", "structure": "The Problem/Question -> What the Data Shows -> The Insight", "confidence": 75, "description": "Establish a tension, present data, then deliver the insight that changes everything" } ], "arcBeatMatches": [ { "to": 38, "from": 7, "beatId": "019dd95a-0702-74a3-87de-591ed7ae15c0", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-evidence-proof", "evidence": "Data-rich analysis: TV growth, tourism, indie scene, digital, aggregate FTEs", "position": 4, "confidence": 78, "parentBeatName": "Evidence", "parentBeatSlug": "evidence" }, { "to": 38, "from": 7, "beatId": "019dd95a-0702-74a3-87de-6740b2f28d6f", "arcName": "The Mountain", "arcSlug": "mountain", "beatName": "Rising Action", "beatSlug": "mountain-rising-action", "evidence": "Layered data across film, TV, theatre, digital", "position": 2, "confidence": 62, "parentBeatName": "Development", "parentBeatSlug": "development" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b634-c8c7c89d1e97", "docSlug": "1b64d126e472d1d4", "documentTitle": "Media Entertainment Industry NYC", "authorId": "BCG", "authorName": "BCG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.294, "pageNumber": 33, "slideType": "timeline", "function": "summarize", "notes": "The slide uses a matrix-style timeline layout to categorize events by activity type and year.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b634-c8c7c89d1e97/33", "deckHref": "/decks/019dd923-5ca1-7489-b634-c8c7c89d1e97", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b634-c8c7c89d1e97#slide-33", "loopMatches": [ { "to": 34, "from": 32, "name": "Aha Moment", "slug": "03-aha-moment", "bestFor": "Data-heavy sections, research findings, analytical arguments", "matchId": "019dd95a-088b-72c8-b7e5-f8cf6f308d76", "evidence": "$1.5B funding, 27% of national; landscape; growth drivers", "position": 9, "objective": "Reveal NYC's digital-media surge", "structure": "The Problem/Question -> What the Data Shows -> The Insight", "confidence": 75, "description": "Establish a tension, present data, then deliver the insight that changes everything" } ], "arcBeatMatches": [ { "to": 38, "from": 7, "beatId": "019dd95a-0702-74a3-87de-591ed7ae15c0", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-evidence-proof", "evidence": "Data-rich analysis: TV growth, tourism, indie scene, digital, aggregate FTEs", "position": 4, "confidence": 78, "parentBeatName": "Evidence", "parentBeatSlug": "evidence" }, { "to": 38, "from": 7, "beatId": "019dd95a-0702-74a3-87de-6740b2f28d6f", "arcName": "The Mountain", "arcSlug": "mountain", "beatName": "Rising Action", "beatSlug": "mountain-rising-action", "evidence": "Layered data across film, TV, theatre, digital", "position": 2, "confidence": 62, "parentBeatName": "Development", "parentBeatSlug": "development" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b634-c8c7c89d1e97", "docSlug": "1b64d126e472d1d4", "documentTitle": "Media Entertainment Industry NYC", "authorId": "BCG", "authorName": "BCG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.294, "pageNumber": 34, "slideType": "industry_trends", "function": "analyze_data", "notes": "The chart shows a clear acceleration in growth from 2010 onwards, highlighted by the +23% growth rate annotation.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b634-c8c7c89d1e97/34", "deckHref": "/decks/019dd923-5ca1-7489-b634-c8c7c89d1e97", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b634-c8c7c89d1e97#slide-34", "loopMatches": [ { "to": 34, "from": 32, "name": "Aha Moment", "slug": "03-aha-moment", "bestFor": "Data-heavy sections, research findings, analytical arguments", "matchId": "019dd95a-088b-72c8-b7e5-f8cf6f308d76", "evidence": "$1.5B funding, 27% of national; landscape; growth drivers", "position": 9, "objective": "Reveal NYC's digital-media surge", "structure": "The Problem/Question -> What the Data Shows -> The Insight", "confidence": 75, "description": "Establish a tension, present data, then deliver the insight that changes everything" } ], "arcBeatMatches": [ { "to": 38, "from": 7, "beatId": "019dd95a-0702-74a3-87de-591ed7ae15c0", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-evidence-proof", "evidence": "Data-rich analysis: TV growth, tourism, indie scene, digital, aggregate FTEs", "position": 4, "confidence": 78, "parentBeatName": "Evidence", "parentBeatSlug": "evidence" }, { "to": 38, "from": 7, "beatId": "019dd95a-0702-74a3-87de-6740b2f28d6f", "arcName": "The Mountain", "arcSlug": "mountain", "beatName": "Rising Action", "beatSlug": "mountain-rising-action", "evidence": "Layered data across film, TV, theatre, digital", "position": 2, "confidence": 62, "parentBeatName": "Development", "parentBeatSlug": "development" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b634-c8c7c89d1e97", "docSlug": "1b64d126e472d1d4", "documentTitle": "Media Entertainment Industry NYC", "authorId": "BCG", "authorName": "BCG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.294, "pageNumber": 35, "slideType": "agenda", "function": "summarize", "notes": null, "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b634-c8c7c89d1e97/35", "deckHref": "/decks/019dd923-5ca1-7489-b634-c8c7c89d1e97", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b634-c8c7c89d1e97#slide-35", "loopMatches": [], "arcBeatMatches": [ { "to": 38, "from": 7, "beatId": "019dd95a-0702-74a3-87de-591ed7ae15c0", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-evidence-proof", "evidence": "Data-rich analysis: TV growth, tourism, indie scene, digital, aggregate FTEs", "position": 4, "confidence": 78, "parentBeatName": "Evidence", "parentBeatSlug": "evidence" }, { "to": 38, "from": 7, "beatId": "019dd95a-0702-74a3-87de-6740b2f28d6f", "arcName": "The Mountain", "arcSlug": "mountain", "beatName": "Rising Action", "beatSlug": "mountain-rising-action", "evidence": "Layered data across film, TV, theatre, digital", "position": 2, "confidence": 62, "parentBeatName": "Development", "parentBeatSlug": "development" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b634-c8c7c89d1e97", "docSlug": "1b64d126e472d1d4", "documentTitle": "Media Entertainment Industry NYC", "authorId": "BCG", "authorName": "BCG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.294, "pageNumber": 36, "slideType": "market_sizing", "function": "quantify_impact", "notes": "Includes a stacked bar chart showing FTE growth over time and a table comparing NYC vs US media salaries.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b634-c8c7c89d1e97/36", "deckHref": "/decks/019dd923-5ca1-7489-b634-c8c7c89d1e97", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b634-c8c7c89d1e97#slide-36", "loopMatches": [ { "to": 38, "from": 36, "name": "Build Up", "slug": "33-build-up", "bestFor": "Pricing justification, cost estimation, market sizing", "matchId": "019dd95a-088b-72c8-b7e5-fc75bd1de2a8", "evidence": "Aggregate stack -> 50% of US growth -> outperformance vs economy", "position": 10, "objective": "Build up to 290K aggregate FTE story", "structure": "The Base -> Add Component A -> Add Component B -> Add Component C -> The Total", "confidence": 80, "description": "Start from zero and add components to arrive at a total" } ], "arcBeatMatches": [ { "to": 38, "from": 7, "beatId": "019dd95a-0702-74a3-87de-591ed7ae15c0", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-evidence-proof", "evidence": "Data-rich analysis: TV growth, tourism, indie scene, digital, aggregate FTEs", "position": 4, "confidence": 78, "parentBeatName": "Evidence", "parentBeatSlug": "evidence" }, { "to": 38, "from": 7, "beatId": "019dd95a-0702-74a3-87de-6740b2f28d6f", "arcName": "The Mountain", "arcSlug": "mountain", "beatName": "Rising Action", "beatSlug": "mountain-rising-action", "evidence": "Layered data across film, TV, theatre, digital", "position": 2, "confidence": 62, "parentBeatName": "Development", "parentBeatSlug": "development" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b634-c8c7c89d1e97", "docSlug": "1b64d126e472d1d4", "documentTitle": "Media Entertainment Industry NYC", "authorId": "BCG", "authorName": "BCG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.294, "pageNumber": 37, "slideType": "data_table", "function": "analyze_data", "notes": "Includes footnotes regarding data sources and methodology.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b634-c8c7c89d1e97/37", "deckHref": "/decks/019dd923-5ca1-7489-b634-c8c7c89d1e97", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b634-c8c7c89d1e97#slide-37", "loopMatches": [ { "to": 38, "from": 36, "name": "Build Up", "slug": "33-build-up", "bestFor": "Pricing justification, cost estimation, market sizing", "matchId": "019dd95a-088b-72c8-b7e5-fc75bd1de2a8", "evidence": "Aggregate stack -> 50% of US growth -> outperformance vs economy", "position": 10, "objective": "Build up to 290K aggregate FTE story", "structure": "The Base -> Add Component A -> Add Component B -> Add Component C -> The Total", "confidence": 80, "description": "Start from zero and add components to arrive at a total" } ], "arcBeatMatches": [ { "to": 38, "from": 7, "beatId": "019dd95a-0702-74a3-87de-591ed7ae15c0", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-evidence-proof", "evidence": "Data-rich analysis: TV growth, tourism, indie scene, digital, aggregate FTEs", "position": 4, "confidence": 78, "parentBeatName": "Evidence", "parentBeatSlug": "evidence" }, { "to": 38, "from": 7, "beatId": "019dd95a-0702-74a3-87de-6740b2f28d6f", "arcName": "The Mountain", "arcSlug": "mountain", "beatName": "Rising Action", "beatSlug": "mountain-rising-action", "evidence": "Layered data across film, TV, theatre, digital", "position": 2, "confidence": 62, "parentBeatName": "Development", "parentBeatSlug": "development" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b634-c8c7c89d1e97", "docSlug": "1b64d126e472d1d4", "documentTitle": "Media Entertainment Industry NYC", "authorId": "BCG", "authorName": "BCG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.294, "pageNumber": 38, "slideType": "key_takeaways", "function": "quantify_impact", "notes": "The slide uses a line chart to show relative growth (indexed to 2002=100) and a table to summarize job losses and gains.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b634-c8c7c89d1e97/38", "deckHref": "/decks/019dd923-5ca1-7489-b634-c8c7c89d1e97", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b634-c8c7c89d1e97#slide-38", "loopMatches": [ { "to": 38, "from": 36, "name": "Build Up", "slug": "33-build-up", "bestFor": "Pricing justification, cost estimation, market sizing", "matchId": "019dd95a-088b-72c8-b7e5-fc75bd1de2a8", "evidence": "Aggregate stack -> 50% of US growth -> outperformance vs economy", "position": 10, "objective": "Build up to 290K aggregate FTE story", "structure": "The Base -> Add Component A -> Add Component B -> Add Component C -> The Total", "confidence": 80, "description": "Start from zero and add components to arrive at a total" } ], "arcBeatMatches": [ { "to": 38, "from": 7, "beatId": "019dd95a-0702-74a3-87de-591ed7ae15c0", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-evidence-proof", "evidence": "Data-rich analysis: TV growth, tourism, indie scene, digital, aggregate FTEs", "position": 4, "confidence": 78, "parentBeatName": "Evidence", "parentBeatSlug": "evidence" }, { "to": 38, "from": 7, "beatId": "019dd95a-0702-74a3-87de-6740b2f28d6f", "arcName": "The Mountain", "arcSlug": "mountain", "beatName": "Rising Action", "beatSlug": "mountain-rising-action", "evidence": "Layered data across film, TV, theatre, digital", "position": 2, "confidence": 62, "parentBeatName": "Development", "parentBeatSlug": "development" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b634-c8c7c89d1e97", "docSlug": "1b64d126e472d1d4", "documentTitle": "Media Entertainment Industry NYC", "authorId": "BCG", "authorName": "BCG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.294, "pageNumber": 39, "slideType": "pain_points", "function": "diagnose", "notes": "Copyright 2015 The Boston Consulting Group.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b634-c8c7c89d1e97/39", "deckHref": "/decks/019dd923-5ca1-7489-b634-c8c7c89d1e97", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b634-c8c7c89d1e97#slide-39", "loopMatches": [ { "to": 40, "from": 39, "name": "Cost Of Inaction", "slug": "27-cost-of-inaction", "bestFor": "Urgent budget requests, compliance, risk mitigation", "matchId": "019dd95a-088b-72c8-b7e6-00308dd247f9", "evidence": "Diversity challenges flagged then list of initiatives", "position": 11, "objective": "Surface diversity gap and remediation", "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point", "confidence": 60, "description": "Quantify what happens if the audience does nothing" } ], "arcBeatMatches": [ { "to": 43, "from": 39, "beatId": "019dd95a-0702-74a3-87de-52c163783cb8", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Problem & Complication", "beatSlug": "consultants-gambit-problem-complication", "evidence": "Diversity challenges + perceived NYC challenges to mitigate", "position": 2, "confidence": 78, "parentBeatName": "Complication", "parentBeatSlug": "complication" }, { "to": 43, "from": 39, "beatId": "019dd95a-0702-74a3-87de-6ad4c97cdaf2", "arcName": "The Mountain", "arcSlug": "mountain", "beatName": "Climax", "beatSlug": "mountain-climax", "evidence": "Diversity + cost/critical-mass challenges surface", "position": 3, "confidence": 62, "parentBeatName": "Turn", "parentBeatSlug": "turn" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b634-c8c7c89d1e97", "docSlug": "1b64d126e472d1d4", "documentTitle": "Media Entertainment Industry NYC", "authorId": "BCG", "authorName": "BCG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.294, "pageNumber": 40, "slideType": "initiative_list", "function": "present_solution", "notes": "The slide uses a table-like structure to link problem categories to specific examples of industry initiatives.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b634-c8c7c89d1e97/40", "deckHref": "/decks/019dd923-5ca1-7489-b634-c8c7c89d1e97", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b634-c8c7c89d1e97#slide-40", "loopMatches": [ { "to": 40, "from": 39, "name": "Cost Of Inaction", "slug": "27-cost-of-inaction", "bestFor": "Urgent budget requests, compliance, risk mitigation", "matchId": "019dd95a-088b-72c8-b7e6-00308dd247f9", "evidence": "Diversity challenges flagged then list of initiatives", "position": 11, "objective": "Surface diversity gap and remediation", "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point", "confidence": 60, "description": "Quantify what happens if the audience does nothing" } ], "arcBeatMatches": [ { "to": 43, "from": 39, "beatId": "019dd95a-0702-74a3-87de-52c163783cb8", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Problem & Complication", "beatSlug": "consultants-gambit-problem-complication", "evidence": "Diversity challenges + perceived NYC challenges to mitigate", "position": 2, "confidence": 78, "parentBeatName": "Complication", "parentBeatSlug": "complication" }, { "to": 43, "from": 39, "beatId": "019dd95a-0702-74a3-87de-6ad4c97cdaf2", "arcName": "The Mountain", "arcSlug": "mountain", "beatName": "Climax", "beatSlug": "mountain-climax", "evidence": "Diversity + cost/critical-mass challenges surface", "position": 3, "confidence": 62, "parentBeatName": "Turn", "parentBeatSlug": "turn" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b634-c8c7c89d1e97", "docSlug": "1b64d126e472d1d4", "documentTitle": "Media Entertainment Industry NYC", "authorId": "BCG", "authorName": "BCG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.294, "pageNumber": 41, "slideType": "agenda", "function": "summarize", "notes": null, "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b634-c8c7c89d1e97/41", "deckHref": "/decks/019dd923-5ca1-7489-b634-c8c7c89d1e97", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b634-c8c7c89d1e97#slide-41", "loopMatches": [], "arcBeatMatches": [ { "to": 43, "from": 39, "beatId": "019dd95a-0702-74a3-87de-52c163783cb8", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Problem & Complication", "beatSlug": "consultants-gambit-problem-complication", "evidence": "Diversity challenges + perceived NYC challenges to mitigate", "position": 2, "confidence": 78, "parentBeatName": "Complication", "parentBeatSlug": "complication" }, { "to": 43, "from": 39, "beatId": "019dd95a-0702-74a3-87de-6ad4c97cdaf2", "arcName": "The Mountain", "arcSlug": "mountain", "beatName": "Climax", "beatSlug": "mountain-climax", "evidence": "Diversity + cost/critical-mass challenges surface", "position": 3, "confidence": 62, "parentBeatName": "Turn", "parentBeatSlug": "turn" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b634-c8c7c89d1e97", "docSlug": "1b64d126e472d1d4", "documentTitle": "Media Entertainment Industry NYC", "authorId": "BCG", "authorName": "BCG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.294, "pageNumber": 42, "slideType": "industry_trends", "function": "establish_context", "notes": "The slide uses a mix of bulleted arguments and pull-quotes to validate the claims.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b634-c8c7c89d1e97/42", "deckHref": "/decks/019dd923-5ca1-7489-b634-c8c7c89d1e97", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b634-c8c7c89d1e97#slide-42", "loopMatches": [ { "to": 43, "from": 42, "name": "Tale Two Worlds", "slug": "04-tale-two-worlds", "bestFor": "Competitive analysis, benchmarking, case for change", "matchId": "019dd95a-088b-72c8-b7e6-07fc32c24d00", "evidence": "Twin slides: 'Multiple advantages' vs '...but challenges to mitigate'", "position": 12, "objective": "Contrast NYC advantages vs challenges", "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication", "confidence": 88, "description": "Show the gap between two states to drive urgency or highlight opportunity" } ], "arcBeatMatches": [ { "to": 43, "from": 39, "beatId": "019dd95a-0702-74a3-87de-52c163783cb8", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Problem & Complication", "beatSlug": "consultants-gambit-problem-complication", "evidence": "Diversity challenges + perceived NYC challenges to mitigate", "position": 2, "confidence": 78, "parentBeatName": "Complication", "parentBeatSlug": "complication" }, { "to": 43, "from": 39, "beatId": "019dd95a-0702-74a3-87de-6ad4c97cdaf2", "arcName": "The Mountain", "arcSlug": "mountain", "beatName": "Climax", "beatSlug": "mountain-climax", "evidence": "Diversity + cost/critical-mass challenges surface", "position": 3, "confidence": 62, "parentBeatName": "Turn", "parentBeatSlug": "turn" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b634-c8c7c89d1e97", "docSlug": "1b64d126e472d1d4", "documentTitle": "Media Entertainment Industry NYC", "authorId": "BCG", "authorName": "BCG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.294, "pageNumber": 43, "slideType": "pain_points", "function": "diagnose", "notes": "The slide uses a 'problem-evidence' structure where bulleted points on the left are supported by 'sticky note' style quotes on the right.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b634-c8c7c89d1e97/43", "deckHref": "/decks/019dd923-5ca1-7489-b634-c8c7c89d1e97", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b634-c8c7c89d1e97#slide-43", "loopMatches": [ { "to": 43, "from": 42, "name": "Tale Two Worlds", "slug": "04-tale-two-worlds", "bestFor": "Competitive analysis, benchmarking, case for change", "matchId": "019dd95a-088b-72c8-b7e6-07fc32c24d00", "evidence": "Twin slides: 'Multiple advantages' vs '...but challenges to mitigate'", "position": 12, "objective": "Contrast NYC advantages vs challenges", "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication", "confidence": 88, "description": "Show the gap between two states to drive urgency or highlight opportunity" } ], "arcBeatMatches": [ { "to": 43, "from": 39, "beatId": "019dd95a-0702-74a3-87de-52c163783cb8", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Problem & Complication", "beatSlug": "consultants-gambit-problem-complication", "evidence": "Diversity challenges + perceived NYC challenges to mitigate", "position": 2, "confidence": 78, "parentBeatName": "Complication", "parentBeatSlug": "complication" }, { "to": 43, "from": 39, "beatId": "019dd95a-0702-74a3-87de-6ad4c97cdaf2", "arcName": "The Mountain", "arcSlug": "mountain", "beatName": "Climax", "beatSlug": "mountain-climax", "evidence": "Diversity + cost/critical-mass challenges surface", "position": 3, "confidence": 62, "parentBeatName": "Turn", "parentBeatSlug": "turn" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b634-c8c7c89d1e97", "docSlug": "1b64d126e472d1d4", "documentTitle": "Media Entertainment Industry NYC", "authorId": "BCG", "authorName": "BCG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.294, "pageNumber": 44, "slideType": "industry_trends", "function": "summarize", "notes": "The slide uses a table format to map subsectors to their growth outlook and specific trends.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b634-c8c7c89d1e97/44", "deckHref": "/decks/019dd923-5ca1-7489-b634-c8c7c89d1e97", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b634-c8c7c89d1e97#slide-44", "loopMatches": [ { "to": 47, "from": 44, "name": "Segmentation Split", "slug": "34-segmentation-split", "bestFor": "Customer analysis, market research, resource allocation", "matchId": "019dd95a-088b-72c8-b7e6-0813bd401b05", "evidence": "Summary table + three detail slides of subsector outlooks", "position": 13, "objective": "Subsector implications matrix", "structure": "The Aggregate View -> Segment A Behavior -> Segment B Behavior -> The Insight in the Difference", "confidence": 85, "description": "Divide a whole into meaningful segments to reveal hidden patterns" } ], "arcBeatMatches": [ { "to": 47, "from": 44, "beatId": "019dd95a-0702-74a3-87de-55e4556a75f0", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Solution & Approach", "beatSlug": "consultants-gambit-solution-approach", "evidence": "Subsector-specific implications and outlook arrows", "position": 3, "confidence": 78, "parentBeatName": "Turn", "parentBeatSlug": "turn" }, { "to": 49, "from": 44, "beatId": "019dd95a-0702-74a3-87de-6fa869e763ed", "arcName": "The Mountain", "arcSlug": "mountain", "beatName": "Resolution", "beatSlug": "mountain-resolution", "evidence": "Implications matrix + recommendations", "position": 4, "confidence": 62, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b634-c8c7c89d1e97", "docSlug": "1b64d126e472d1d4", "documentTitle": "Media Entertainment Industry NYC", "authorId": "BCG", "authorName": "BCG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.294, "pageNumber": 45, "slideType": "industry_trends", "function": "summarize", "notes": "The slide uses a color-coded legend (green check, yellow check, red dash) to denote positive trends, emerging opportunities, and challenges.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b634-c8c7c89d1e97/45", "deckHref": "/decks/019dd923-5ca1-7489-b634-c8c7c89d1e97", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b634-c8c7c89d1e97#slide-45", "loopMatches": [ { "to": 47, "from": 44, "name": "Segmentation Split", "slug": "34-segmentation-split", "bestFor": "Customer analysis, market research, resource allocation", "matchId": "019dd95a-088b-72c8-b7e6-0813bd401b05", "evidence": "Summary table + three detail slides of subsector outlooks", "position": 13, "objective": "Subsector implications matrix", "structure": "The Aggregate View -> Segment A Behavior -> Segment B Behavior -> The Insight in the Difference", "confidence": 85, "description": "Divide a whole into meaningful segments to reveal hidden patterns" } ], "arcBeatMatches": [ { "to": 47, "from": 44, "beatId": "019dd95a-0702-74a3-87de-55e4556a75f0", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Solution & Approach", "beatSlug": "consultants-gambit-solution-approach", "evidence": "Subsector-specific implications and outlook arrows", "position": 3, "confidence": 78, "parentBeatName": "Turn", "parentBeatSlug": "turn" }, { "to": 49, "from": 44, "beatId": "019dd95a-0702-74a3-87de-6fa869e763ed", "arcName": "The Mountain", "arcSlug": "mountain", "beatName": "Resolution", "beatSlug": "mountain-resolution", "evidence": "Implications matrix + recommendations", "position": 4, "confidence": 62, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true } ] }