建造cost data provider Gordian has launched a big-data-driven service designed to predict construction project cost changes up to three years into the future.

预测成本数据, available in RSMeans Data Online, combines more than 15 years of RSMeans data and other indices from government and private sources, then takes into account factors such as project location and construction type and applies proprietary algorithms to deliver what Gordian claims are cost estimates that will hold their accuracy for years.

为了验证项目开发期间的预测，Gordian使用过去10年来使用数据进行后退测试，找到了3％以内的准确性。

“Traditional forecast data, developed during a time before the availability of big data simply does not meet the needs of today’s construction professionals for accurate planning and budgeting,” says Noam Reininger, chief data officer at Gordian. “Construction costs are volatile, and traditional economic forecast methods can fall short in predicting market swings or sharp escalations.”

开发了预测成本数据以解决这些问题。Reineder说，戈尔迪帝国科学家们现在可以计算他们所说的准确成本预测，因为计算能力，数据可视化和更新的统计程序。

“我们能够找到模式并确定建筑材料和劳动力成本的结构驱动因素，”Reininger说。新利18备用官网登录“我们的预测成本模型完全基于数据驱动的经验证据。”

“负责规划和预算项目的业主，建筑师，工程师和其他专业人员现在具有验证和可靠的来源来实现未来的建筑成本，”加强了。新利18备用网址新利18备用官网登录“这种前所未有的能力利用材料，劳动和设备水平的未来成本允许用户在规划和预算阶段进行数据驱动的新利18备用官网登录决策，以更高的信心。”