COUNTRY FOCUS : INDIA
Paytm , a leading financial services company in India , switched to Imply to support a powerful , cost-efficient application that enables hundreds of internal users to analyze customer behavioral data in real-time .
How Paytm built a petabyte-s application using Apache Dr
Mumbai , financial and entertainment capital of India
Paytm is one of India ’ s largest mobile payments , commerce and financial services platform . With a user base of more than 300 million , Paytm is on a mission to bring half a billion underbanked individuals and businesses into the mainstream economy using its digital banking and payments products . application . And to support a modern , highly interactive analytics application , Paytm needed a high-powered database built to deliver real-time insights at scale .
Challenge : Complex and limited legacy application
Paytm ’ s platform powers transactions for more than 20 million merchants , which translates to a large volume of data – roughly five billion events per day .
The company ’ s Growth Team uses this data to create new revenue opportunities through targeted customer acquisition , building credit score models and cross-selling services . To facilitate this analysis , the Data Team set out to build a more robust analytics
Initially , Paytm ’ s Data Team focused on replacing their off-the-shelf analytics service by building a custom analytics application . The legacy solution created unnecessary complexity for engineers trying to build out new verticals for data ingestion .
On top of that , query results would sometimes take minutes – or even hours-to load , hindering the Growth Team ’ s ability to act on insights .
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