Abstract: Aiming at big data aided decision-making, precision marketing and data visualization, this article usedbusiness intelligence(BI), data mining, enterprise application integration and other technical means to integrate railway freight key data, freight ticket, precision statistics, 18-point statistics and freight five information systems in depth, and constructed multi-dimensional big data oriented to contingent storage.Through quantitative analysis of historical data by various data mining methods, potential laws were found, future development trends were predicted and simulated, which provided strong support for enterprises to timely adjust marketing strategies and achieve precision marketing.