The IRCTC withdraws its tender for the hiring of a consultant to monetize its passenger and freight customer data. here’s why

New Delhi: Indian Railways’ catering and ticketing arm, IRCTC, has withdrawn a controversial tender to hire a consultant to monetize the data of its passenger and freight customers over privacy concerns, a report said. reported the PTI news agency citing officials on Friday. The IRCTC informed the Parliamentary Standing Committee on Information Technology chaired by Congress Leader Shashi Tharoor on Friday that it was no longer pursuing the tender.Also Read – Latest IRCTC Update: Railways to launch super-fast trains between Delhi and Indore. Check the full schedule here

The parliamentary committee had summoned officials from the Indian Railway Catering and Tourism Corporation (IRCTC) following a report by PTI on the tender for the appointment of a consultant for digital data monetization. IRCTC Director General and President Rajni Hasija testified before the panel along with other officials. Also Read – IRCTC: Order food on the train in Zoop now via WhatsApp. Step by step guide here

“The IRCTC has withdrawn the tender in light of the non-approval of the Data Protection Bill,” an IRCTC official informed. The decision to withdraw the tender was made at the IRCTC’s annual general meeting on Friday, ahead of the commission hearing. Also Read – Ganesh Chaturthi 2022: Indian Railways will run special Ganpati trains between THESE cities; Check the full list here

What did the call for tenders announce?

According to the tender document, the data to be studied will include information captured by the national carrier’s various public applications such as name, age, mobile phone number, gender, address, email id, travel class, payment method, login or password” and other details. IRCTC has over 10 crores of users, of which 7.5 crores are active.

The tender document, titled “The Scope of Work for Project A: For study of Monetization of Digital Data of Indian Railways (IR)”, stated that the consultant would also have access to digital data systems that generate data behavioral such as passenger flow, travel class, travel frequency, travel time, booking time, age range and gender, payment method, number of destinations and booking methods.

(With PTI inputs)

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