databricks-industry-solutions/merchant-classification

This series of notebooks shows how the Lakehouse for Financial Services enables banks, open banking aggregators and payment processors to address the challenge of merchant classification

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This helps banks, open banking aggregators, and payment processors accurately categorize billions of daily card transactions. It takes raw, often unclear, merchant transaction data and transforms it into clear, standardized merchant and brand information. The result helps financial institutions better understand customer spending, personalize mobile banking experiences, and identify cross-sell opportunities, ultimately reducing fraud.

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Use this if your financial institution struggles to get clear, consistent merchant and brand names from raw transaction data, hindering your ability to analyze customer spending behavior or prevent fraud.

Not ideal if you are looking for a general-purpose text classification tool outside of financial transaction data.

retail-banking payment-processing customer-360 fraud-reduction transaction-analysis
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 16 / 25
Community 16 / 25

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Python

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Last pushed

Mar 09, 2024

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