{
  "docId": "019dd923-5de0-76bd-a168-bbef571d46c0",
  "docSlug": "d16756877ad9b444",
  "documentTitle": "10 retailer investments for an uncertain future",
  "authorId": "PwC",
  "authorName": "PwC",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.294,
  "pageNumber": 18,
  "pageCount": 45,
  "prevPage": 17,
  "nextPage": 19,
  "slideType": "industry_trends",
  "function": "analyze_data",
  "density": "overcrowded",
  "nDataPoints": 3,
  "notes": "Includes a quote from Denise Dahlhoff of the Wharton School's Baker Retailing Center.",
  "elementsJson": [
    "paragraph",
    "callout_box",
    "icon_grid",
    "infographic"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5de0-76bd-a168-bbef571d46c0/18",
  "deckHref": "/decks/019dd923-5de0-76bd-a168-bbef571d46c0",
  "deckJsonHref": "/decks/019dd923-5de0-76bd-a168-bbef571d46c0.json",
  "deckAnchorHref": "/decks/019dd923-5de0-76bd-a168-bbef571d46c0#slide-18",
  "components": [
    {
      "bbox": null,
      "kind": "callout",
      "text": "More than a third of retailers are struggling to implement a strategy to provide a single view of the customer, with a further third seeking to improve in this regard",
      "attrs": null,
      "subkind": null,
      "toolName": "Visual emphasis",
      "toolSlug": "visual-emphasis",
      "confidence": null,
      "componentId": "019dd952-3be9-762c-ba0d-6df90aefc4e6",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.45,
        "w": 0.3,
        "x": 0.58,
        "y": 0.32
      },
      "kind": "chart",
      "text": "35% We are currently struggling to implement a strategy to provide a single view of the customer; 31% We have achieved this but there is room for improvement; 13% This initiative is on our agenda for the next 1-2 years",
      "attrs": null,
      "subkind": "bubble",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "af2a95df-141f-4802-b152-b0d9d7d6a7f6",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "metric",
      "text": "retailer maturity: 35%",
      "attrs": null,
      "subkind": "primary",
      "toolName": "Quantification",
      "toolSlug": "quantification",
      "confidence": null,
      "componentId": "019dd952-3be9-762c-ba0d-770109f5427a",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.65,
        "w": 0.38,
        "x": 0.045,
        "y": 0.198
      },
      "kind": "paragraph",
      "text": "Another big data gap is that between the desire for real-time offers, which 59% of our sample think is important, and the degree to which retailers are meeting these expectations. Just 50% of our sample is satisfied with how well retailers are responding. The data on which customers tend to make what purchases in-store is certainly available, but rarely gets turned into an appropriate, personalized in-store offer sent as an email or a text. Better using data to gain a complete picture of the consumer is a “to-do” in which retailers understand the need to invest. The illustration to the right, from a PwC/SAP survey of retailers, very clearly shows this self-awareness. In fact, 79% of retailers have this on their current or future agenda, according to the data. It’s also important to have appropriate analytical capabilities. “The issue isn’t having enough data, especially given the vast amount of online data and offline behavior increasingly tracked digitally. The challenge is to devise meaningful analyses that can benefit both customers and businesses, for example by generating personalized offers based on data,” says Denise Dahlhoff, research director of the Wharton School’s Baker Retailing Center at the University of Pennsylvania. “Analytical expertise is a key asset for today’s retailers, and the smart use of data can be a competitive advantage.” Predictive analyses require sophistication in all phases of the process—from sampling to modeling to drawing conclusions from the results.",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "17b0e82a-6275-46c5-98d5-1f55ef3636d0",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "quote",
      "text": "Analytical expertise is a key asset for today's retailers, and the smart use of data can be a competitive advantage. — Denise Dahlhoff, research director of the Wharton School's Baker Retailing Center",
      "attrs": null,
      "subkind": null,
      "toolName": "Authority citation",
      "toolSlug": "authority-citation",
      "confidence": null,
      "componentId": "019dd952-3be9-762c-ba0d-724acad73e84",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.4,
        "x": 0.43,
        "y": 0.77
      },
      "kind": "source-note",
      "text": "Source: PwC & SAP Retailer Survey; Base: 312. Please indicate the maturity of your organisation in ascertaining a single view of consumers across all channels",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "244fe31c-0732-4bde-bb87-e650a04c6d3f",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.12,
        "w": 0.41,
        "x": 0.437,
        "y": 0.198
      },
      "kind": "title",
      "text": "More than a third of retailers are struggling to implement a strategy to provide a single view of the customer, with a further third seeking to improve in this regard",
      "attrs": null,
      "subkind": "action-title",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "4a8f9559-fd8b-4ec2-b59a-279c5eb3d841",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [],
  "frameworks": [],
  "arcBeats": [
    {
      "to": 43,
      "from": 8,
      "beatId": "a57b3f73-8499-43ea-9a89-6fe51d515634",
      "arcName": "The Consultant's Gambit",
      "arcSlug": "consultants-gambit",
      "beatName": "Solution & Approach",
      "beatSlug": "consultants-gambit-solution-approach",
      "evidence": "The document presents 10 investment areas for retailers to navigate the uncertain future.",
      "position": 2,
      "confidence": 0.8,
      "parentBeatName": "Turn",
      "parentBeatSlug": "turn"
    },
    {
      "to": 42,
      "from": 9,
      "beatId": "9b14520a-6db6-4107-a973-fe76c0090bf3",
      "arcName": "The Consultant's Gambit",
      "arcSlug": "consultants-gambit",
      "beatName": "Evidence & Proof",
      "beatSlug": "consultants-gambit-evidence-proof",
      "evidence": "The document provides industry trends, data tables, and client examples to support the investment areas.",
      "position": 3,
      "confidence": 0.8,
      "parentBeatName": "Evidence",
      "parentBeatSlug": "evidence"
    }
  ],
  "loops": [],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}