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  "data": {
    "url": "https://www.linkedin.com/pulse/why-most-forecasting-models-fail-quarter-two-daniela-ruiz",
    "title": "Why most forecasting models fail in the second quarter",
    "body": "Suppose your forecast is built on last January's demand curve. By April, the assumptions underneath it have already moved twice.\n\nMost finance teams do not notice until the variance report lands, and by then the quarter is half over. The fix is not a better model. It is a shorter feedback loop between the actuals and the assumptions that produced the forecast.\n\nOver the last year we worked with a dozen mid-market finance teams rebuilding this loop. Three changes showed up in every team that closed its variance gap: weekly actuals instead of monthly, a single owner per assumption, and a standing fifteen minute review that only asks what changed.\n\nNone of this requires new tooling. It requires treating the forecast as a living document instead of a quarterly artifact.",
    "description": "Three changes that closed the variance gap for a dozen finance teams, and none of them required new software.",
    "author": "Daniela Ruiz",
    "authorUrl": "https://www.linkedin.com/in/daniela-ruiz-fpa",
    "authorFollowers": 18400,
    "createdUtc": 1755878400,
    "updatedUtc": 1755964800,
    "reactions": 612,
    "comments": 47,
    "image": "https://media.licdn.com/dms/image/D4E12AQF-forecast-cover/article-cover-image.jpg",
    "type": "article"
  }
}