Data Analytics

A data analyst would use the collected data from the maintenance and overhaul of rolling stock to draw meaningful insights that could be used to enhance operational efficiency, reduce costs, improve safety, and predict future needs. Here's a more detailed breakdown of what a data analyst might do:
  1. Data Cleaning and Preparation: This involves checking the data for errors, inconsistencies, or missing values, and preparing it for analysis. This is a crucial step as the quality of data directly impacts the results of the analysis.
  2. Descriptive Analysis: This provides an understanding of what has happened in the past, such as identifying common maintenance issues, average downtime for maintenance, or costs associated with particular types of maintenance or overhaul.
  3. Diagnostic Analysis: This involves figuring out why certain trends or patterns have occurred. For instance, why certain parts fail more often than others, or why certain types of rolling stock require more maintenance.
  4. Predictive Analysis: Using historical data, a data analyst can predict future trends, such as when certain components might fail and need maintenance or replacement, helping in proactive maintenance planning.
  5. Prescriptive Analysis: This involves using data to determine the optimal course of action. For example, determining the most cost-effective maintenance strategies, or the best time to perform maintenance to minimize disruption to services.
  6. Reporting and Visualization: Data analysts would present their findings in an understandable way through reports, charts, dashboards, etc., to help decision-makers understand the insights and act upon them.
  7. Real-Time Monitoring: By setting up real-time analytics, data analysts can monitor the condition of the rolling stock in real time and provide alerts for immediate attention if certain parameters are breached.
Overall, the goal of a data analyst working with maintenance and overhaul data of rolling stock would be to help the organization operate more efficiently, save costs, and improve the safety and reliability of its rolling stock.