Predictive Analytics in Construction: Maximizing the value of historical project data

By 2026, the big data analytics industry is expected to reach US$273.4 billion. Businesses that are incapable of leveraging the quintillion bytes of data that are generated daily will be left in the dust. As clients begin to expect greater and more accurate estimates for projects, the construction industry needs to harness historical project data to provide greater insights for the future.

Linesight’s latest report explains why advanced analytics, such as predictive analytics, are so important. Used in conjunction with machine learning, AI and other technologies, predictive analytics can help to improve estimates and provide value to customers.

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