The Reserve Bank of India is asking banks to provide an easy way for customers to register with alternative additional financial services such as mobile banking to reduce the need for customers to visit branches.
The authentication process for mobile banking should be quicker and easier, the RBI said, identifying a need for a greater degree of standardisation in procedures for introducing old and new customers to mobile banking.
Customers should be offered mobile banking services when initially opening an account, with the option clear on any forms and purposefully separated from the contact details section requiring a mobile number, RBI suggested.
The central bank also said thanks banks should use various channels or methods to quicken the mobile PIN generation process, and also widen the accessibility of mobile banking, by allowing access to this process via ATM channels, their own internet banking website with necessary safeguards and mail mobile PINs to quicken process.
Banks throughout Indian adopted mobile banking at different times, though generally banks are offering mobile banking services through SMS and apps. But the RBI argues that a lack of awareness from customers has led to slow adoption.
Whitepapers
Related reading
Central banks best suited to issue digital currencies
By Aaran Fronda A recent report by the Official Monetary and Financial Institutions Forum (OMFIF) said that central banks rather than private ... read more
Instant payments: innovations inbound for corporates
In 2020, instant payments look set to continue their current trajectory to become the biggest trend in payments. While these schemes already offer numerous benefits to corporates, leveraging innovations such as APIs and request to pay will go some way to unlocking their full potential, argues Michael Knetsch
Obstacles exist for banks to meet ECB’s instant payments goal
The cost of joining instant payment platforms will be one of many hurdles banks and payment services providers must overcome to meet ... read more
Banks must be aware of “biases” in data used to train ML models
Financial institutions need to be conscious of biases in the historical data that is being used to train machine learning (ML) models, ... read more