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[SAMPLE] PG | Bank Transaction Data | US& Canada, $742M montly volume, 105M Transaction | ...

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https://marketplace.databricks.com/details/e2dc368d-c899-4823-82fd-5b1b78e12feb/PocketGuard_SAMPLE-PG-Bank-Transaction-Data-US&-Canada,-$742M-montly-volume,-105M-Transaction-
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What sets our data apart? Our Bank Transaction Data, covering 9 years, includes 105 million transactions from 128k users, delivering exceptional depth and quality. With detailed transaction insights and demographic information, businesses can uncover precise behavioral patterns, predict spending trends, and perform identity verification with high accuracy. How do we gather our Bank Transaction Data? Users link their bank accounts to our platform, and we aggregate all their Bank Transaction Data through Finicity and Plaid. Key Attributes of the Bank Transaction Data: - Transaction Details: Includes posted date, transaction amount, merchant information, currency, and whether transactions are recurring. - User-Specific Information: Covers user location (country, city, state, zip code) and spending habits, reflected in Debit Card Data and Credit Card Spending Data. - Demographic Data: Features attributes such as gender, birth year, marital status, employment status, and credit score, contributing to detailed Consumer Demographic Data insights. - Identity Verification Elements: Includes KYC Data for secure user identification and transaction behavior analysis, aiding in accurate identity and credit assessments. Primary Applications of Bank Transaction Data: - Spending Analytics: Analyze Bank Transaction Data to gain insights into overall spending patterns and trends, supporting effective financial management and budgeting. - Behavioral Analytics: Use Bank Transaction Data to uncover detailed behavioral patterns, helping to predict future spending habits and inform marketing strategies. - Bank Data Enrichment: Enhance existing customer profiles with additional information from Bank Transaction Data, providing a richer view of financial behaviors and preferences. - Purchase Intelligence: Leverage data to gain deep insights into purchase behaviors, enabling more targeted and effective product and service offerings. - Purchase Behavior Analytics: Analyze spending data to understand consumer purchasing habits and preferences, aiding in tailored marketing efforts and product development.
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PocketGuard
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