Boost Mobile & Digital Banking Engagement while Reducing Churn With Big Data

Presented by

Anirudh Shah, Founder & CEO, 3LOQ Labs and Flavio Villanustre, VP Technology, HPCC Systems

About this talk

Join Anirudh Shah, Founder & CEO, 3LOQ Labs, and Flavio Villanustre, VP Technology, HPCC Systems, to learn how 3LOQ is solving the problem of customer churn with open source big data and machine learning technology. 3LOQ addresses this challenge by deploying proprietary machine learning algorithms to analyze billions of data points and map out dynamic feature recommendations to reinforce repeated usage of a product. The end result? Reduced churn with high customer engagement for businesses. 3LOQ recently partnered with a leading Indian banking institution to increase adoption of their digital channels. The project yielded impressive results for the client, including a: · 45% reduction in customer churn · 145% increase in digital banking transactions · 75% increase in users who made four or more transactions per month In this webcast, Flavio will give an overview of one of the key tech tools that contributes to 3LOQ's success, the completely free, open source HPCC Systems big data platform. Anirudh will share how 3LOQ Labs leverages this platform to: • Analyze four terabytes of data combined with built-in analytics libraries to create personalized recommendations • Utilize efficient coding in an implicitly parallel platform that allows prototypes to be developed and iterated quickly • Enable horizontal scaling on commodity hardware, with the flexibility to deploy both on premises and in the cloud

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