{
  "docId": "019dd923-5ca1-7489-b638-dff20a244189",
  "docSlug": "07de20cdf1314355",
  "documentTitle": "IoT Mobile Internet Data Analytics 2030",
  "authorId": "McKinsey",
  "authorName": "McKinsey",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.294,
  "pageNumber": 5,
  "pageCount": 15,
  "prevPage": 4,
  "nextPage": 6,
  "slideType": "industry_trends",
  "function": "illustrate_case",
  "density": "dense",
  "nDataPoints": 0,
  "notes": "The slide uses a list-based structure to show industry-specific impacts of data analytics.",
  "elementsJson": [
    "headline_text",
    "icon_grid",
    "bullet_list"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5ca1-7489-b638-dff20a244189/5",
  "deckHref": "/decks/019dd923-5ca1-7489-b638-dff20a244189",
  "deckJsonHref": "/decks/019dd923-5ca1-7489-b638-dff20a244189.json",
  "deckAnchorHref": "/decks/019dd923-5ca1-7489-b638-dff20a244189#slide-5",
  "components": [
    {
      "bbox": {
        "h": 0.2,
        "w": 0.17,
        "x": 0.09,
        "y": 0.425
      },
      "kind": "image",
      "text": "Food/Agriculture icon",
      "attrs": null,
      "subkind": "illustration",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "157a6549-23fe-4a88-86d8-66542f1f6095",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.2,
        "w": 0.17,
        "x": 0.09,
        "y": 0.655
      },
      "kind": "image",
      "text": "Retail/Grocery icon",
      "attrs": null,
      "subkind": "illustration",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "45a25191-51ec-40c8-b3eb-02b309dbfee8",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.2,
        "w": 0.17,
        "x": 0.09,
        "y": 0.195
      },
      "kind": "image",
      "text": "Financial Services icon",
      "attrs": null,
      "subkind": "illustration",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "fa4e9400-30f1-441a-8af9-4a84c5b6408b",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.15,
        "w": 0.6,
        "x": 0.3,
        "y": 0.22
      },
      "kind": "list",
      "text": "Regulators make data public at scale; Transaction data enables segmentation, evolution of highly targeted products",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "69e0838b-a177-4498-bffe-4aba82ee3f62",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.15,
        "w": 0.6,
        "x": 0.3,
        "y": 0.44
      },
      "kind": "list",
      "text": "Government and other players provide reporting and prediction data and services; Innovation (e.g., genetically modified seeds) bends cost curve and changes playing field",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "73fede31-367c-423b-8778-4e65f90b55b1",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.15,
        "w": 0.6,
        "x": 0.3,
        "y": 0.66
      },
      "kind": "list",
      "text": "Granular POS data drives changes to merchandising, marketing; Sophisticated machine-learning algorithms predict future purchases",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "ae257489-562d-445e-94f9-f1ad16fcdaad",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.02,
        "w": 0.2,
        "x": 0.06,
        "y": 0.94
      },
      "kind": "source-note",
      "text": "SOURCE: McKinsey analysis",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "7519e02c-657f-4ca2-8fb1-a31c96f5b3ba",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.07,
        "w": 0.8,
        "x": 0.06,
        "y": 0.09
      },
      "kind": "title",
      "text": "Big data has already helped transform several industries in the private sector",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "9f8e2fa2-9ec1-4532-ba11-b4325f8d7156",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.02,
        "w": 0.4,
        "x": 0.06,
        "y": 0.06
      },
      "kind": "title",
      "text": "AUTOMATION OF KNOWLEDGE WORK - DATA ANALYTICS",
      "attrs": null,
      "subkind": "subtitle",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "d6a89c5e-5a63-40ef-a579-0af55e0dffb3",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [],
  "frameworks": [],
  "arcBeats": [
    {
      "to": 7,
      "from": 5,
      "beatId": "6a7db060-b0a5-4c63-831a-c1bd418ce864",
      "arcName": "The Consultant's Gambit",
      "arcSlug": "consultants-gambit",
      "beatName": "Evidence & Proof",
      "beatSlug": "consultants-gambit-evidence-proof",
      "evidence": "Big data has already helped transform several industries in the private sector, Application of data analytics in the public sector could help to significantly reduce rates of fraud and error",
      "position": 2,
      "confidence": 0.8,
      "parentBeatName": "Evidence",
      "parentBeatSlug": "evidence"
    }
  ],
  "loops": [],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}