Banking & Financial Services

Banking and Financial Services utilize data and analytics in their decision making at every value chain from customer acquisition to back-office operations. Financial Institutions look towards algorithms and analytical functions to improve operational efficiency, drive growth, and provide personalized experiences for customers.

 

Implementing advanced solutions within Banking and Financial Services comes with its industry-specific nuances and compliances with several regulatory requirements. Financial Institutions have to balance customer insights vs. customer privacy, model accuracy vs. transparency, and automation vs. human touch.

 

Our approach of value-based analytics has helped our Banking and Financial Service clients focus on value enhancement as well as value protection to achieve a significant impact on both top line and bottom line.

Featured Offerings

How can Analytics Help?

– Augment external data for better customer decisions

– Optimize offer-mix and marketing channels to boost response

– Value-driven underwriting and scorecards

Case Study

50% Reduction in Customer Acquisitions Costs for a Multi-Million Dollar Digital Campaign

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Blog

What is the Value of a YouTube like?

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How can Analytics Help?

– Augment external data for better customer decisions

– Optimize offer-mix and marketing channels to boost response

– Value-driven underwriting and scorecards

Case Study

50% Reduction in Customer Acquisitions Costs for a Multi-Million Dollar Digital Campaign

Read More

Blog

What is the Value of a YouTube like?

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How can Analytics Help?

– Increase share of wallet via behavioral scorecards

– Credit risk monitoring

– CLTV enhancement strategies

– Responsive strategies for fraud prevention

– Targeted collections and recovery

Case Study

Early Detection of High-Risk Customers Helps Avoid USD 1.5MM in Repossession Losses

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Blog

How can Banks Utilize Advanced Analytics to Emerge Pandemic Resilient?

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How can Analytics Help?

– Boost engagement through digital adoption

– Personalize customer contact

– Proactive churn management

– PFM, chatbots, location-based service, etc

Case Study

Increased Chatbot Adoption Using Conversational Intent Detection

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Blog

Why Customers Leave and What can Banks do?

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How can Analytics Help?

– Loss forecasting, CECL

– Stress test and capital planning, DFAST/CCAR/IFRS9

– AML, OFAC, and KYC analysis

– Disparate impact and fair lending assessment

– Model validation and governance

Case Study

Accelerated CECL Journey with Robust Loss Forecast Model Methodology

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Blog

CECL in Loss Forecasting – Challenges & Opportunities

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How can Analytics Help?

– Creating unified platform for ML/AI models

– Governance around data in motion and data at rest

– Internal and external data to create Customer 360

– Increase process automation

– Cross-platform synchronization of data

Case Study

Reduced Data Governance Cost by Ensuring Data Traceability

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Blog

How is Data used to find the Right Property for Investment?

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