{
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  "docSlug": "f4ede66aa4804426",
  "documentTitle": "2024 Investor Day FY25",
  "authorId": "Snowflake",
  "authorName": "Snowflake",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
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  "pageNumber": 23,
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  "function": "quantify_impact",
  "density": "balanced",
  "nDataPoints": 9,
  "notes": "The chart tracks adoption as a percentage of customers over nine fiscal quarters.",
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  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5eff-723e-9be5-6c6099909f2d/23",
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        "w": 0.78,
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      "kind": "chart",
      "text": "Adoption of Snowpark (Percent of Customers)",
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      "kind": "disclaimer",
      "text": "Note: Fiscal year ends January 31; Adoption is based on whether a customer consumed any credits in a 7-day period that are attributable to the respective workload feature via our internal classifications. We take the average of the the last four 7-day periods of the quarter ended April 30, 2024. 1. See definitions provided in the Appendix.",
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      },
      "kind": "image",
      "text": "Navigation bar with product features",
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    },
    {
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      "kind": "metric",
      "text": "Percent of Customers: 45%",
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      "subkind": "primary",
      "toolName": "Quantification",
      "toolSlug": "quantification",
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      "bbox": {
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      "kind": "title",
      "text": "Adoption of Snowpark",
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  ],
  "metrics": [],
  "tools": [
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      "name": "Inductive Reasoning",
      "slug": "inductive-reasoning",
      "agent": "Architect",
      "layer": "loop",
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      "evidence": "Adoption-rate evidence per feature builds toward shared conclusion.",
      "confidence": 70
    },
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      "evidence": "'Adoption of Snowpark' framed as growth claim.",
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      "name": "Annotation",
      "slug": "annotation",
      "agent": "Designer",
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      "evidence": "Endpoint labels call out the 45% milestone.",
      "confidence": 70
    },
    {
      "name": "Chart Selection Guide",
      "slug": "chart-selection-guide",
      "agent": "Designer",
      "layer": "slide",
      "matchId": "019de9c2-d736-701b-b897-615f214c4a51",
      "evidence": "Line chart fits time-series adoption trend.",
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      "beatId": "019de9c2-cebf-744c-b384-56b1c882a333",
      "arcName": "The Consultant's Gambit",
      "arcSlug": "consultants-gambit",
      "beatName": "Solution & Approach",
      "beatSlug": null,
      "evidence": "Acquisitions, leadership, accelerating delivery, product features Snowpark/Cortex/Iceberg.",
      "position": 3,
      "confidence": 75,
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    {
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      "arcName": "The Sequoia Pitch",
      "arcSlug": "sequoia-pitch",
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      "evidence": "Accelerating Delivery: features, scorecard, adoption.",
      "position": 6,
      "confidence": 60,
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  "loops": [
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      "bestFor": "Time-pressed audiences, building consensus, when data is strong",
      "matchId": "019de9c2-d130-72c3-91a9-94e96454a89a",
      "evidence": "Repeating pattern: feature -> tailwinds -> adoption chart for Snowpark, Cortex, Iceberg, Native Apps, Streamlit, Unistore.",
      "position": 4,
      "objective": "Multiple feature adoption datapoints prove platform momentum",
      "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
      "confidence": 78,
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