Case Studies


We have created extraordinary value for our clients through the use of Advanced Analytics and Big Data approaches. Our work typically leads to 30-200% improvement for our clients, with our clients realizing more than 20x ROI on their investment in us. These results have been achieved across verticals – payments, consumer lending, e-commerce, retail, etc - and functional areas – digital marketing, telesales, risk & fraud management, customer engagement, churn management, etc. We have used a multitude of approaches in generating these results , such as Statistical Clustering, Regression Modeling, Lifetime Value analysis, Decision Trees, Machine Learning, A/B Testing, Association Rule design, Linear Optimization, etc.

The case studies below provide more information on projects delivered for our clients.

Developed transactions-based risk model to reduce losses

Financial Services, Risk Management

We led loss mitigation initiatives at a major global credit card issuer by developing a dynamic, transaction-based scoring algorithm. The goal was to reduce credit losses incurred by new card customers. The approach  complemented the traditional credit bureau based approach and took into account unstructured...

10% reduction in loan losses through smarter credit scoring models

Financial Services, Risk Management

Our credit risk model used machine learning &  regression variants to reduce losses by 10% Approach Client was a large global bank Indus re-developed the application stage risk model for Client’s Personal Loans business, followed by credit policy redesign Indus tested various scorecards, horseraced multiple...

Customer Segmentation, Valuations, and Credit Policy

Financial Services, Marketing, Risk Management

We developed application level credit card LTV model for a leading bank and used LTV model to overhaul decision & line policy and evaluate new products Approach Client was a large global bank w/ ~6 Million card customers Indus was tasked with overhauling valuations of...

Optimization of Collections Strategy

Financial Services, Risk Management

We have driven 35% loss savings through optimization of the early collections process Approach Client was a major global bank Indus was tasked with optimizing early collections strategies of the personal loans business Identified an exhaustive list of collections outcomes; Used to streamline the collections...