Minister of Railways Suresh Prabhakar Prabhu inaugurated a Round Table Conference on "Data Analytics for Indian Railways". Chairman Railway Board AK Mital, other Railway Board Members, representatives and dignitaries from industry and senior officials from Railway Board were also present on the occasion. Speaking on the occasion, Prabhu said that a series of Round Table Conferences are being conducted to ideate on various issues concerning the Indian Railways. This Round Table Conference is to devise a system of Data Analytics for Indian Railways in view of its vast commercial and operational activities. This may help the Railways' improve its functioning. Indian Railways has been using information technology extensively for the past three decades. As a result, a large amount of data is available on different aspects of the Railways working such as Passenger Ticketing, Freight Operations, Crew Management, Track Maintenance, Rolling Stock Maintenance(Locomotive), Rolling Stock Maintenance(Wagon and Coaches), Expenditure Accounting, etc. In order to assist the management in taking effective strategic and tactical decisions, Railways have decided to use Data Analytics for Analysis of Data using various statistical and software tools. Data Analytics can help Railways in determining to price services, planning train operations on various routes, proactive safety measures and disaster management, predictive maintenance of assets to avoid failures etc. PRS has data of trains, passengers, earnings, utilization of trains, class wise occupancy, waiting lists and passenger profile is also available in e-ticketing system. This huge data can be analyzed to help provide innovative products to passengers so that occupancy is improved and the passenger is able to get confirmed accommodation. Freight Operations Information System has data of traffic carried on various routes, the time taken in transportation, the commodities transported, customers, price sensitivity of various streams of traffic, etc. Data Analytics can help in improving throughput and average speed of freight trains. Track Management System has data about the condition of the track, maintenance of track from time to time, the inspection conducted, track renewal, deep screening, rail fractures etc. Data Analytics can help in predicting vulnerable spots and preventive maintenance.