{
  "id": "real-synthetic-or-both",
  "number": 148,
  "status": "Published",
  "title": "Real, Synthetic, or Both: A Methodology for Sourcing Decision-Grade Data in the Age of AI",
  "summary": "A field guide to four kinds of synthetic data, where each earns its place, where it breaks.",
  "topic": "Data Strategy",
  "url": "https://www.catalystmr.com/insights/methodology-papers/real-synthetic-or-both/",
  "canonical": "https://www.catalystmr.com/insights/methodology-papers/real-synthetic-or-both/",
  "pdf": "https://www.catalystmr.com/insights/methodology-papers/real-synthetic-or-both/download/",
  "embed": "https://www.catalystmr.com/insights/methodology-papers/real-synthetic-or-both/embed/",
  "press_kit": "https://www.catalystmr.com/insights/methodology-papers/real-synthetic-or-both/press-kit/",
  "oembed": "https://www.catalystmr.com/insights/methodology-papers/real-synthetic-or-both/oembed.json",
  "publisher": "CatalystMR",
  "publisher_url": "https://www.catalystmr.com",
  "license": "Republish with attribution and a canonical link back to CatalystMR; no material modification.",
  "retrieved": "2026-07-01"
}