While inaugurating a round table conference on "Data Analytics for Indian Railways" Prabhu stressed the need of studying, analyzing and monitoring data analytics in order to improve the Indian railways.
"Technology is ever evolving therefore; the need of the hour is to progress with data analytics which can help generate a system that may benefit railways immensely. Indian Railways is one of the largest data creators in the world. Data privacy will be taken due care of," he added.
A series of round table conferences are being conducted to ideate on various issues concerning Indian Railways.
This round table conference is to ideate on data analytics for the Indian railways.
Chairman Railway Board, A. K. Mital, other dignitaries and senior officials from the railways board were also present on the occasion.
The Indian Railways has been using information technology extensively for the past three decades.
As a result, large amount of data are available in 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 pricing of services, planning train operations on various routes, proactive safety measures and disaster management, predictive maintenance of assets to avoid failures, etc.
Policy Research Studies (PRS) has data of trains, passengers, earnings, utilization of trains, class wise occupancy, waiting lists and passenger profile in e-ticketing system.
This huge data can be analysed to help in providing innovative products to passengers so that occupancy is improved and passenger is able to get confirmed accommodation.
Freight Operations Information System (FOIS) consists data of traffic carried out on various routes, the time taken in transportation, the commodities transported, customers, price sensitivity of various streams of traffic and etc.
Data Analytics can help in improving average speed of freight trains.
Track Management System (TMS) has data about track conditions and maintenance, inspections conducted, track renewal, deep screening, rail fractures etc.
Data Analytics can help in Predicting vulnerable spots and preventive maintenance.
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