Exponentia for Banking Sector

Exponentia for Banking Sector

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By 2030, banks will be invisible, connected, insights-driven and purposeful
- Forrester

With the number of banking and fintech offerings on the rise, there is a whole lot of competition trying to differentiate their offerings for the same customer. While Data and analytics has been beneficial for Banking in general, it is particularly favourable in handling sensitive areas like fraud management, risk profiling and customer services. Use cases like real-time support for transaction monitoring and hyper personalized customer experiences are increasingly becoming a differentiating factor for Banking and Financial Services.

Our solutions are designed to help your banking organization to realize the full potential of your data and allow you to efficiently manage: products and portfolios, improve collection efficiency, personalise customer interactions, offer relevant cross-sell and up-sell recommendations, reduce customer churn rate, improve risk management - all leading to your improved performance.

With the number of banking and fintech offerings on the rise, there is a whole lot of competition trying to differentiate their offerings for the same customer. While Data and analytics has been beneficial for Banking in general, it is particularly favourable in handling sensitive areas like fraud management, risk profiling and customer services. Use cases like real-time support for transaction monitoring and hyper personalized customer experiences are increasingly becoming a differentiating factor for Banking and Financial Services.

Our solutions are designed to help your banking organization to realize the full potential of your data and allow you to efficiently manage: products and portfolios, improve collection efficiency, personalise customer interactions, offer relevant cross-sell and up-sell recommendations, reduce customer churn rate, improve risk management - all leading to your improved performance.

Data Platform Modernization

While banks have been primarily early adopters of technology, we are facilitating the move to newer generation cloud platforms to enable several new age use cases. Predict your future business performance accurately using ML-based forecasting algorithms. With AI based insights generated by our solutions, make data - driven decisions on interest rate risk, net interest income, funds management and estimate future outcomes based on past, current, and projected financial conditions.

Customer 360 and Digital First

In today's time it is crucial to paint a complete picture of your customers and then further segregate them to provide a premium customer experience while enhancing loyalty. Data Governance initiatives driven by AI and machine learning allow for accurate curation of customized and actionable customer focused strategies.

MLOPs

With AI and Machine Learning already becoming a process, you need a strong technology partner to drive the outcomes with automated and customized workflows, keep the ML models on track and prevent degradation. Focus on what matters for you while we scale and keep the data governance and security in check for all the deployed models across the organization.

Fraud Intelligence

We are deeply committed to staying ahead of the curve in the fight against banking fraud. Our dedicated teams are constantly exploring new strategies, identifying emerging patterns, and engineering innovative solutions. Through rigorous testing and analysis, we're able to develop robust measures that effectively combat transaction and identity fraud, ensuring a secure environment for both banks and customers alike.

Client success stories
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Banking
Delivering excellent customer experience through a customized digital platform for global rollout
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Banking
Enhancing Marketing Efforts through Data & Analytics
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Banking
Streamlining Risk Operations: The Impact of Rule-Based Automation on Payout Requests
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