{ "kind": "all", "value": "all", "collectionKey": "slides:all:all:all-document-kinds:all-producers:all-orientations", "filters": { "documentKinds": [], "sourceTypes": [], "orientations": [] }, "total": 319975, "page": 181, "pageSize": 18, "pageCount": 17777, "rows": [ { "docId": "019dd923-5ca1-7489-b634-baa794470a76", "docSlug": "e1772a536ac0fb0d", "documentTitle": "Evaluating NYC media sector", "authorId": "BCG", "authorName": "BCG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.401, "pageNumber": 5, "slideType": "agenda", "function": "front_matter", "notes": null, "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b634-baa794470a76/5", "deckHref": "/decks/019dd923-5ca1-7489-b634-baa794470a76", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b634-baa794470a76#slide-5", "loopMatches": [], "arcBeatMatches": [ { "to": 5, "from": 1, "beatId": "019dd95a-0702-74a3-87db-a649f8adf4db", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Situation & Context", "beatSlug": "consultants-gambit-situation-context", "evidence": "Cover, intro, exec summary, sector boundaries, agenda", "position": 1, "confidence": 78, "parentBeatName": "Setup", "parentBeatSlug": "setup" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b634-baa794470a76", "docSlug": "e1772a536ac0fb0d", "documentTitle": "Evaluating NYC media sector", "authorId": "BCG", "authorName": "BCG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.401, "pageNumber": 6, "slideType": "industry_trends", "function": "quantify_impact", "notes": "The slide uses stacked bar charts to show the composition of employment and spend across different sub-sectors of the filmed production industry.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b634-baa794470a76/6", "deckHref": "/decks/019dd923-5ca1-7489-b634-baa794470a76", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b634-baa794470a76#slide-6", "loopMatches": [ { "to": 12, "from": 6, "name": "Segmentation Split", "slug": "34-segmentation-split", "bestFor": "Customer analysis, market research, resource allocation", "matchId": "019dd95a-088b-72c8-b7e3-9c2f12ad04aa", "evidence": "Each slide breaks down a different segment of filmed entertainment with consistent metrics ($ spend, jobs).", "position": 1, "objective": "Size NYC filmed entertainment by segment (TV, film, commercials, production-related)", "structure": "The Aggregate View -> Segment A Behavior -> Segment B Behavior -> The Insight in the Difference", "confidence": 80, "description": "Divide a whole into meaningful segments to reveal hidden patterns" } ], "arcBeatMatches": [ { "to": 25, "from": 6, "beatId": "019dd95a-0702-74a3-87db-a9147a7a24af", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-problem-complication", "evidence": "Subsector-by-subsector data: filmed, broadcasting, ads, digital, VC", "position": 2, "confidence": 78, "parentBeatName": "Complication", "parentBeatSlug": "complication" }, { "to": 25, "from": 6, "beatId": "019dd95a-0702-74a3-87db-b9e0767fbeac", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Facts (What)", "beatSlug": "triple-take-the-facts-what", "evidence": "Pure data slides on each subsector", "position": 1, "confidence": 70, "parentBeatName": "Setup", "parentBeatSlug": "setup" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b634-baa794470a76", "docSlug": "e1772a536ac0fb0d", "documentTitle": "Evaluating NYC media sector", "authorId": "BCG", "authorName": "BCG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.401, "pageNumber": 7, "slideType": "data_table", "function": "quantify_impact", "notes": "The slide uses a table to show job growth by sector and bullet points to explain the drivers (incentives, TV/reality show boom).", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b634-baa794470a76/7", "deckHref": "/decks/019dd923-5ca1-7489-b634-baa794470a76", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b634-baa794470a76#slide-7", "loopMatches": [ { "to": 12, "from": 6, "name": "Segmentation Split", "slug": "34-segmentation-split", "bestFor": "Customer analysis, market research, resource allocation", "matchId": "019dd95a-088b-72c8-b7e3-9c2f12ad04aa", "evidence": "Each slide breaks down a different segment of filmed entertainment with consistent metrics ($ spend, jobs).", "position": 1, "objective": "Size NYC filmed entertainment by segment (TV, film, commercials, production-related)", "structure": "The Aggregate View -> Segment A Behavior -> Segment B Behavior -> The Insight in the Difference", "confidence": 80, "description": "Divide a whole into meaningful segments to reveal hidden patterns" } ], "arcBeatMatches": [ { "to": 25, "from": 6, "beatId": "019dd95a-0702-74a3-87db-a9147a7a24af", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-problem-complication", "evidence": "Subsector-by-subsector data: filmed, broadcasting, ads, digital, VC", "position": 2, "confidence": 78, "parentBeatName": "Complication", "parentBeatSlug": "complication" }, { "to": 25, "from": 6, "beatId": "019dd95a-0702-74a3-87db-b9e0767fbeac", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Facts (What)", "beatSlug": "triple-take-the-facts-what", "evidence": "Pure data slides on each subsector", "position": 1, "confidence": 70, "parentBeatName": "Setup", "parentBeatSlug": "setup" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b634-baa794470a76", "docSlug": "e1772a536ac0fb0d", "documentTitle": "Evaluating NYC media sector", "authorId": "BCG", "authorName": "BCG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.401, "pageNumber": 8, "slideType": "agenda", "function": "front_matter", "notes": null, "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b634-baa794470a76/8", "deckHref": "/decks/019dd923-5ca1-7489-b634-baa794470a76", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b634-baa794470a76#slide-8", "loopMatches": [ { "to": 12, "from": 6, "name": "Segmentation Split", "slug": "34-segmentation-split", "bestFor": "Customer analysis, market research, resource allocation", "matchId": "019dd95a-088b-72c8-b7e3-9c2f12ad04aa", "evidence": "Each slide breaks down a different segment of filmed entertainment with consistent metrics ($ spend, jobs).", "position": 1, "objective": "Size NYC filmed entertainment by segment (TV, film, commercials, production-related)", "structure": "The Aggregate View -> Segment A Behavior -> Segment B Behavior -> The Insight in the Difference", "confidence": 80, "description": "Divide a whole into meaningful segments to reveal hidden patterns" } ], "arcBeatMatches": [ { "to": 25, "from": 6, "beatId": "019dd95a-0702-74a3-87db-a9147a7a24af", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-problem-complication", "evidence": "Subsector-by-subsector data: filmed, broadcasting, ads, digital, VC", "position": 2, "confidence": 78, "parentBeatName": "Complication", "parentBeatSlug": "complication" }, { "to": 25, "from": 6, "beatId": "019dd95a-0702-74a3-87db-b9e0767fbeac", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Facts (What)", "beatSlug": "triple-take-the-facts-what", "evidence": "Pure data slides on each subsector", "position": 1, "confidence": 70, "parentBeatName": "Setup", "parentBeatSlug": "setup" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b634-baa794470a76", "docSlug": "e1772a536ac0fb0d", "documentTitle": "Evaluating NYC media sector", "authorId": "BCG", "authorName": "BCG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.401, "pageNumber": 9, "slideType": "data_table", "function": "quantify_impact", "notes": "The slide uses stacked bar charts to show growth in spend and FTEs, supplemented by a data table showing the number of shows.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b634-baa794470a76/9", "deckHref": "/decks/019dd923-5ca1-7489-b634-baa794470a76", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b634-baa794470a76#slide-9", "loopMatches": [ { "to": 12, "from": 6, "name": "Segmentation Split", "slug": "34-segmentation-split", "bestFor": "Customer analysis, market research, resource allocation", "matchId": "019dd95a-088b-72c8-b7e3-9c2f12ad04aa", "evidence": "Each slide breaks down a different segment of filmed entertainment with consistent metrics ($ spend, jobs).", "position": 1, "objective": "Size NYC filmed entertainment by segment (TV, film, commercials, production-related)", "structure": "The Aggregate View -> Segment A Behavior -> Segment B Behavior -> The Insight in the Difference", "confidence": 80, "description": "Divide a whole into meaningful segments to reveal hidden patterns" } ], "arcBeatMatches": [ { "to": 25, "from": 6, "beatId": "019dd95a-0702-74a3-87db-a9147a7a24af", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-problem-complication", "evidence": "Subsector-by-subsector data: filmed, broadcasting, ads, digital, VC", "position": 2, "confidence": 78, "parentBeatName": "Complication", "parentBeatSlug": "complication" }, { "to": 25, "from": 6, "beatId": "019dd95a-0702-74a3-87db-b9e0767fbeac", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Facts (What)", "beatSlug": "triple-take-the-facts-what", "evidence": "Pure data slides on each subsector", "position": 1, "confidence": 70, "parentBeatName": "Setup", "parentBeatSlug": "setup" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b634-baa794470a76", "docSlug": "e1772a536ac0fb0d", "documentTitle": "Evaluating NYC media sector", "authorId": "BCG", "authorName": "BCG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.401, "pageNumber": 10, "slideType": "industry_trends", "function": "quantify_impact", "notes": "The chart uses a dual-axis combination (stacked bar for spend, line for FTEs).", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b634-baa794470a76/10", "deckHref": "/decks/019dd923-5ca1-7489-b634-baa794470a76", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b634-baa794470a76#slide-10", "loopMatches": [ { "to": 12, "from": 6, "name": "Segmentation Split", "slug": "34-segmentation-split", "bestFor": "Customer analysis, market research, resource allocation", "matchId": "019dd95a-088b-72c8-b7e3-9c2f12ad04aa", "evidence": "Each slide breaks down a different segment of filmed entertainment with consistent metrics ($ spend, jobs).", "position": 1, "objective": "Size NYC filmed entertainment by segment (TV, film, commercials, production-related)", "structure": "The Aggregate View -> Segment A Behavior -> Segment B Behavior -> The Insight in the Difference", "confidence": 80, "description": "Divide a whole into meaningful segments to reveal hidden patterns" } ], "arcBeatMatches": [ { "to": 25, "from": 6, "beatId": "019dd95a-0702-74a3-87db-a9147a7a24af", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-problem-complication", "evidence": "Subsector-by-subsector data: filmed, broadcasting, ads, digital, VC", "position": 2, "confidence": 78, "parentBeatName": "Complication", "parentBeatSlug": "complication" }, { "to": 25, "from": 6, "beatId": "019dd95a-0702-74a3-87db-b9e0767fbeac", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Facts (What)", "beatSlug": "triple-take-the-facts-what", "evidence": "Pure data slides on each subsector", "position": 1, "confidence": 70, "parentBeatName": "Setup", "parentBeatSlug": "setup" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b634-baa794470a76", "docSlug": "e1772a536ac0fb0d", "documentTitle": "Evaluating NYC media sector", "authorId": "BCG", "authorName": "BCG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.401, "pageNumber": 11, "slideType": "data_table", "function": "analyze_data", "notes": "The slide uses a dual-axis chart (bar for spend, line for FTEs) to show trends in two segments of the filmed entertainment industry.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b634-baa794470a76/11", "deckHref": "/decks/019dd923-5ca1-7489-b634-baa794470a76", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b634-baa794470a76#slide-11", "loopMatches": [ { "to": 12, "from": 6, "name": "Segmentation Split", "slug": "34-segmentation-split", "bestFor": "Customer analysis, market research, resource allocation", "matchId": "019dd95a-088b-72c8-b7e3-9c2f12ad04aa", "evidence": "Each slide breaks down a different segment of filmed entertainment with consistent metrics ($ spend, jobs).", "position": 1, "objective": "Size NYC filmed entertainment by segment (TV, film, commercials, production-related)", "structure": "The Aggregate View -> Segment A Behavior -> Segment B Behavior -> The Insight in the Difference", "confidence": 80, "description": "Divide a whole into meaningful segments to reveal hidden patterns" } ], "arcBeatMatches": [ { "to": 25, "from": 6, "beatId": "019dd95a-0702-74a3-87db-a9147a7a24af", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-problem-complication", "evidence": "Subsector-by-subsector data: filmed, broadcasting, ads, digital, VC", "position": 2, "confidence": 78, "parentBeatName": "Complication", "parentBeatSlug": "complication" }, { "to": 25, "from": 6, "beatId": "019dd95a-0702-74a3-87db-b9e0767fbeac", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Facts (What)", "beatSlug": "triple-take-the-facts-what", "evidence": "Pure data slides on each subsector", "position": 1, "confidence": 70, "parentBeatName": "Setup", "parentBeatSlug": "setup" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b634-baa794470a76", "docSlug": "e1772a536ac0fb0d", "documentTitle": "Evaluating NYC media sector", "authorId": "BCG", "authorName": "BCG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.401, "pageNumber": 12, "slideType": "impact_sizing", "function": "quantify_impact", "notes": "The chart shows a trend of production-related jobs in NYC, with a note explaining the distinction between direct production-related jobs and broader indirect economic impacts.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b634-baa794470a76/12", "deckHref": "/decks/019dd923-5ca1-7489-b634-baa794470a76", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b634-baa794470a76#slide-12", "loopMatches": [ { "to": 12, "from": 6, "name": "Segmentation Split", "slug": "34-segmentation-split", "bestFor": "Customer analysis, market research, resource allocation", "matchId": "019dd95a-088b-72c8-b7e3-9c2f12ad04aa", "evidence": "Each slide breaks down a different segment of filmed entertainment with consistent metrics ($ spend, jobs).", "position": 1, "objective": "Size NYC filmed entertainment by segment (TV, film, commercials, production-related)", "structure": "The Aggregate View -> Segment A Behavior -> Segment B Behavior -> The Insight in the Difference", "confidence": 80, "description": "Divide a whole into meaningful segments to reveal hidden patterns" } ], "arcBeatMatches": [ { "to": 25, "from": 6, "beatId": "019dd95a-0702-74a3-87db-a9147a7a24af", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-problem-complication", "evidence": "Subsector-by-subsector data: filmed, broadcasting, ads, digital, VC", "position": 2, "confidence": 78, "parentBeatName": "Complication", "parentBeatSlug": "complication" }, { "to": 25, "from": 6, "beatId": "019dd95a-0702-74a3-87db-b9e0767fbeac", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Facts (What)", "beatSlug": "triple-take-the-facts-what", "evidence": "Pure data slides on each subsector", "position": 1, "confidence": 70, "parentBeatName": "Setup", "parentBeatSlug": "setup" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b634-baa794470a76", "docSlug": "e1772a536ac0fb0d", "documentTitle": "Evaluating NYC media sector", "authorId": "BCG", "authorName": "BCG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.401, "pageNumber": 13, "slideType": "agenda", "function": "summarize", "notes": null, "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b634-baa794470a76/13", "deckHref": "/decks/019dd923-5ca1-7489-b634-baa794470a76", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b634-baa794470a76#slide-13", "loopMatches": [], "arcBeatMatches": [ { "to": 25, "from": 6, "beatId": "019dd95a-0702-74a3-87db-a9147a7a24af", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-problem-complication", "evidence": "Subsector-by-subsector data: filmed, broadcasting, ads, digital, VC", "position": 2, "confidence": 78, "parentBeatName": "Complication", "parentBeatSlug": "complication" }, { "to": 25, "from": 6, "beatId": "019dd95a-0702-74a3-87db-b9e0767fbeac", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Facts (What)", "beatSlug": "triple-take-the-facts-what", "evidence": "Pure data slides on each subsector", "position": 1, "confidence": 70, "parentBeatName": "Setup", "parentBeatSlug": "setup" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b634-baa794470a76", "docSlug": "e1772a536ac0fb0d", "documentTitle": "Evaluating NYC media sector", "authorId": "BCG", "authorName": "BCG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.401, "pageNumber": 14, "slideType": "industry_trends", "function": "analyze_data", "notes": "Includes a dual-axis chart showing FTEs (stacked bar) and revenue (line) from 2002-2011, with a supporting table for average salary.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b634-baa794470a76/14", "deckHref": "/decks/019dd923-5ca1-7489-b634-baa794470a76", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b634-baa794470a76#slide-14", "loopMatches": [], "arcBeatMatches": [ { "to": 25, "from": 6, "beatId": "019dd95a-0702-74a3-87db-a9147a7a24af", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-problem-complication", "evidence": "Subsector-by-subsector data: filmed, broadcasting, ads, digital, VC", "position": 2, "confidence": 78, "parentBeatName": "Complication", "parentBeatSlug": "complication" }, { "to": 25, "from": 6, "beatId": "019dd95a-0702-74a3-87db-b9e0767fbeac", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Facts (What)", "beatSlug": "triple-take-the-facts-what", "evidence": "Pure data slides on each subsector", "position": 1, "confidence": 70, "parentBeatName": "Setup", "parentBeatSlug": "setup" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b634-baa794470a76", "docSlug": "e1772a536ac0fb0d", "documentTitle": "Evaluating NYC media sector", "authorId": "BCG", "authorName": "BCG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.401, "pageNumber": 15, "slideType": "agenda", "function": "summarize", "notes": null, "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b634-baa794470a76/15", "deckHref": "/decks/019dd923-5ca1-7489-b634-baa794470a76", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b634-baa794470a76#slide-15", "loopMatches": [], "arcBeatMatches": [ { "to": 25, "from": 6, "beatId": "019dd95a-0702-74a3-87db-a9147a7a24af", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-problem-complication", "evidence": "Subsector-by-subsector data: filmed, broadcasting, ads, digital, VC", "position": 2, "confidence": 78, "parentBeatName": "Complication", "parentBeatSlug": "complication" }, { "to": 25, "from": 6, "beatId": "019dd95a-0702-74a3-87db-b9e0767fbeac", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Facts (What)", "beatSlug": "triple-take-the-facts-what", "evidence": "Pure data slides on each subsector", "position": 1, "confidence": 70, "parentBeatName": "Setup", "parentBeatSlug": "setup" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b634-baa794470a76", "docSlug": "e1772a536ac0fb0d", "documentTitle": "Evaluating NYC media sector", "authorId": "BCG", "authorName": "BCG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.401, "pageNumber": 16, "slideType": "market_landscape", "function": "analyze_data", "notes": "Includes a dual-axis chart (stacked bar for FTEs, line for revenues) and a data table for salary metrics.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b634-baa794470a76/16", "deckHref": "/decks/019dd923-5ca1-7489-b634-baa794470a76", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b634-baa794470a76#slide-16", "loopMatches": [ { "to": 17, "from": 16, "name": "Benchmark Gap", "slug": "39-benchmark-gap", "bestFor": "Performance improvement, competitive analysis, target setting", "matchId": "019dd95a-088b-72c8-b7e3-a2815f654acf", "evidence": "p.17 explicitly compares NYC job growth (+40k) vs US (-40k) across subsectors with shared salary.", "position": 2, "objective": "Position NYC media against US national performance", "structure": "Our Performance -> Industry Average -> Best-in-Class -> The Gap = The Opportunity", "confidence": 82, "description": "Compare performance against best-in-class to quantify the opportunity" } ], "arcBeatMatches": [ { "to": 25, "from": 6, "beatId": "019dd95a-0702-74a3-87db-a9147a7a24af", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-problem-complication", "evidence": "Subsector-by-subsector data: filmed, broadcasting, ads, digital, VC", "position": 2, "confidence": 78, "parentBeatName": "Complication", "parentBeatSlug": "complication" }, { "to": 25, "from": 6, "beatId": "019dd95a-0702-74a3-87db-b9e0767fbeac", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Facts (What)", "beatSlug": "triple-take-the-facts-what", "evidence": "Pure data slides on each subsector", "position": 1, "confidence": 70, "parentBeatName": "Setup", "parentBeatSlug": "setup" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b634-baa794470a76", "docSlug": "e1772a536ac0fb0d", "documentTitle": "Evaluating NYC media sector", "authorId": "BCG", "authorName": "BCG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.401, "pageNumber": 17, "slideType": "industry_trends", "function": "analyze_data", "notes": "The slide uses a table to contrast NYC's share of US media jobs across subsectors and provides qualitative drivers for this growth.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b634-baa794470a76/17", "deckHref": "/decks/019dd923-5ca1-7489-b634-baa794470a76", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b634-baa794470a76#slide-17", "loopMatches": [ { "to": 17, "from": 16, "name": "Benchmark Gap", "slug": "39-benchmark-gap", "bestFor": "Performance improvement, competitive analysis, target setting", "matchId": "019dd95a-088b-72c8-b7e3-a2815f654acf", "evidence": "p.17 explicitly compares NYC job growth (+40k) vs US (-40k) across subsectors with shared salary.", "position": 2, "objective": "Position NYC media against US national performance", "structure": "Our Performance -> Industry Average -> Best-in-Class -> The Gap = The Opportunity", "confidence": 82, "description": "Compare performance against best-in-class to quantify the opportunity" } ], "arcBeatMatches": [ { "to": 25, "from": 6, "beatId": "019dd95a-0702-74a3-87db-a9147a7a24af", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-problem-complication", "evidence": "Subsector-by-subsector data: filmed, broadcasting, ads, digital, VC", "position": 2, "confidence": 78, "parentBeatName": "Complication", "parentBeatSlug": "complication" }, { "to": 25, "from": 6, "beatId": "019dd95a-0702-74a3-87db-b9e0767fbeac", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Facts (What)", "beatSlug": "triple-take-the-facts-what", "evidence": "Pure data slides on each subsector", "position": 1, "confidence": 70, "parentBeatName": "Setup", "parentBeatSlug": "setup" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b634-baa794470a76", "docSlug": "e1772a536ac0fb0d", "documentTitle": "Evaluating NYC media sector", "authorId": "BCG", "authorName": "BCG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.401, "pageNumber": 18, "slideType": "agenda", "function": "front_matter", "notes": null, "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b634-baa794470a76/18", "deckHref": "/decks/019dd923-5ca1-7489-b634-baa794470a76", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b634-baa794470a76#slide-18", "loopMatches": [], "arcBeatMatches": [ { "to": 25, "from": 6, "beatId": "019dd95a-0702-74a3-87db-a9147a7a24af", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-problem-complication", "evidence": "Subsector-by-subsector data: filmed, broadcasting, ads, digital, VC", "position": 2, "confidence": 78, "parentBeatName": "Complication", "parentBeatSlug": "complication" }, { "to": 25, "from": 6, "beatId": "019dd95a-0702-74a3-87db-b9e0767fbeac", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Facts (What)", "beatSlug": "triple-take-the-facts-what", "evidence": "Pure data slides on each subsector", "position": 1, "confidence": 70, "parentBeatName": "Setup", "parentBeatSlug": "setup" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b634-baa794470a76", "docSlug": "e1772a536ac0fb0d", "documentTitle": "Evaluating NYC media sector", "authorId": "BCG", "authorName": "BCG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.401, "pageNumber": 19, "slideType": "industry_trends", "function": "analyze_data", "notes": "Includes a dual-axis chart combining stacked bar (FTEs) and line (revenues) with a data table for average salary.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b634-baa794470a76/19", "deckHref": "/decks/019dd923-5ca1-7489-b634-baa794470a76", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b634-baa794470a76#slide-19", "loopMatches": [], "arcBeatMatches": [ { "to": 25, "from": 6, "beatId": "019dd95a-0702-74a3-87db-a9147a7a24af", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-problem-complication", "evidence": "Subsector-by-subsector data: filmed, broadcasting, ads, digital, VC", "position": 2, "confidence": 78, "parentBeatName": "Complication", "parentBeatSlug": "complication" }, { "to": 25, "from": 6, "beatId": "019dd95a-0702-74a3-87db-b9e0767fbeac", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Facts (What)", "beatSlug": "triple-take-the-facts-what", "evidence": "Pure data slides on each subsector", "position": 1, "confidence": 70, "parentBeatName": "Setup", "parentBeatSlug": "setup" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b634-baa794470a76", "docSlug": "e1772a536ac0fb0d", "documentTitle": "Evaluating NYC media sector", "authorId": "BCG", "authorName": "BCG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.401, "pageNumber": 20, "slideType": "agenda", "function": "front_matter", "notes": null, "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b634-baa794470a76/20", "deckHref": "/decks/019dd923-5ca1-7489-b634-baa794470a76", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b634-baa794470a76#slide-20", "loopMatches": [], "arcBeatMatches": [ { "to": 25, "from": 6, "beatId": "019dd95a-0702-74a3-87db-a9147a7a24af", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-problem-complication", "evidence": "Subsector-by-subsector data: filmed, broadcasting, ads, digital, VC", "position": 2, "confidence": 78, "parentBeatName": "Complication", "parentBeatSlug": "complication" }, { "to": 25, "from": 6, "beatId": "019dd95a-0702-74a3-87db-b9e0767fbeac", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Facts (What)", "beatSlug": "triple-take-the-facts-what", "evidence": "Pure data slides on each subsector", "position": 1, "confidence": 70, "parentBeatName": "Setup", "parentBeatSlug": "setup" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b634-baa794470a76", "docSlug": "e1772a536ac0fb0d", "documentTitle": "Evaluating NYC media sector", "authorId": "BCG", "authorName": "BCG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.401, "pageNumber": 21, "slideType": "industry_trends", "function": "analyze_data", "notes": "Includes a dual-axis chart combining stacked bar (FTEs) and line (revenue) data, with a supporting data table for average salary.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b634-baa794470a76/21", "deckHref": "/decks/019dd923-5ca1-7489-b634-baa794470a76", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b634-baa794470a76#slide-21", "loopMatches": [], "arcBeatMatches": [ { "to": 25, "from": 6, "beatId": "019dd95a-0702-74a3-87db-a9147a7a24af", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-problem-complication", "evidence": "Subsector-by-subsector data: filmed, broadcasting, ads, digital, VC", "position": 2, "confidence": 78, "parentBeatName": "Complication", "parentBeatSlug": "complication" }, { "to": 25, "from": 6, "beatId": "019dd95a-0702-74a3-87db-b9e0767fbeac", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Facts (What)", "beatSlug": "triple-take-the-facts-what", "evidence": "Pure data slides on each subsector", "position": 1, "confidence": 70, "parentBeatName": "Setup", "parentBeatSlug": "setup" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b634-baa794470a76", "docSlug": "e1772a536ac0fb0d", "documentTitle": "Evaluating NYC media sector", "authorId": "BCG", "authorName": "BCG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.401, "pageNumber": 22, "slideType": "agenda", "function": "summarize", "notes": null, "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b634-baa794470a76/22", "deckHref": "/decks/019dd923-5ca1-7489-b634-baa794470a76", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b634-baa794470a76#slide-22", "loopMatches": [], "arcBeatMatches": [ { "to": 25, "from": 6, "beatId": "019dd95a-0702-74a3-87db-a9147a7a24af", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-problem-complication", "evidence": "Subsector-by-subsector data: filmed, broadcasting, ads, digital, VC", "position": 2, "confidence": 78, "parentBeatName": "Complication", "parentBeatSlug": "complication" }, { "to": 25, "from": 6, "beatId": "019dd95a-0702-74a3-87db-b9e0767fbeac", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Facts (What)", "beatSlug": "triple-take-the-facts-what", "evidence": "Pure data slides on each subsector", "position": 1, "confidence": 70, "parentBeatName": "Setup", "parentBeatSlug": "setup" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true } ] }