Yes Bank to use data analytics to offer right mix of products

PTI Updated - December 25, 2018 at 03:44 PM.

With an increasing focus on retail customers, Yes Bank is now churning data to understand customer behaviour and offer a right mix of products based on a predictability model, a senior official said.

The bank has already diversified into retail segment and now harnessing data analytics to come up with models that help understand customer behaviour, Yes Bank, Business Analytics Head, Rajat Kanwar Gupta said.

“Yes bank started-off largely as a corporate driven bank but with the version 2.0 coming in, we are very retail centric. Right now our rank one objective, historically and continues to be, to always have sustainable liability generation. We are trying to focus upon building our CASA (current account savings account),” Gupta told PTI in an interview on the sidelines of two-day Yes Datathon on December 22-23.

As part of the programme, which was launched in September this year, Yes Bank reached out to the global developer, coder and data science community to work on its data stacks using curated, tokenised and anonymised data. With focus on retail sector currently, keeping the corporate character of the bank intact, Gupta said data plays a big part to remain competitive in an environment where even fintech players have started to grab a big share in the financial services space.

“We want to compete with other banks or even with fintechs. It is actually going to be very disruptive. So, we have to think like that, we have to think that what our customers would want from us,” he said.

“As consumers, we are consuming a lot of data and in that process we are generating a lot of data, so it has a snowball effect. We are also looking at data analytics to be playing a big role in security detection, fraud detection and threat prediction. So that itself is a big area for us to figure out and there is a lot of thought and idea going behind the scene,” he added.

YES Datathon saw participation of over 6,000 data scientists, engineers and developers in diverse Machine Learning (ML) challenges. “This will also be a first of its kind data product library which will be iteratively expanded to 100 plus products within 6 months,” Yes Bank said.

Published on December 25, 2018 10:12