Solution Accelerator
Credit Card Transactions Analytics
Pre-built code, sample data and step-by-step instructions ready to go in a Databricks notebook
Merchant classification
Gain a 360-degree view into the customer to understand their spending behaviors, improve customer experiences and drive significant cross-sell opportunities.
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Scale on the lakehouse to acquire, process, categorize and contextualize 1 billion card transaction data points
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Extract customer insights from the contextual data passed from a merchant to a bank to boost card transaction authorization efficiency
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Reduce manual effort and streamline operations with automation through machine learning
Hyper-personalized customer experiences
Uncover actionable insights into customer preferences, behaviors and patterns to deliver highly tailored experiences or to prevent fraudulent activity.
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Classify card transaction data with clear brand information to unlock deeper customer insights
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Leverage behavioral clustering to segment customers based on transactional patterns
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Understand spending patterns using advanced techniques like graph analytics, matrix computation and natural language processing
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Reduce the risk of financial losses for customers by identifying and flagging potentially fraudulent transactions
Regularity of payments
Improve the financial health and well-being of customers while reducing the risk of financial losses for banks.
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Extract information about the regularity of payments from card transaction data to help customers be more responsible in their payment practices
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Detect fraudulent activities that may impact the regularity of payments, such as identity theft or unauthorized transactions
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Leverage machine learning to automatically send notifications to customers about upcoming payments
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Estimate customer income to feed back into KYC processes
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