Rolling with Big Data

This article explores how data science, or Big Data, can be applied to rolling stock maintenance management. The author highlights how railway managers can use Big Data to obtain business information that allows railways to make intelligent decisions based on both the data itself and on insights derived from the data. Data acquisition/management, machine learning and analytics can all offer valuable contributions to business outcomes that ultimately improve operations.

Language

  • English

Media Info

  • Media Type: Print
  • Features: Figures; Photos; References;
  • Pagination: pp 43-44, 46-47
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 01696195
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Feb 1 2019 3:53PM