Banking transactions, loan data, market analysis
Loan applications, capturing applicant demographics, loan characteristics
This dataset provides detailed records of loan applications, capturing applicant demographics, loan characteristics, processing timelines, and final outcomes. It enables in-depth analysis of approval trends, risk factors, and process bottlenecks to support data-driven lending strategies and operational improvements.
Checking account overdraft fee events, capturing transaction details
This dataset provides detailed logs of checking account overdraft fee events, capturing transaction details, account and customer identifiers, fee amounts, and customer segmentation. It enables financial institutions to identify high-risk customer segments, analyze patterns of overdraft occurrences, and develop targeted strategies to reduce fee events and improve customer financial health.
Open, high, low, close, and change metrics
This dataset provides detailed daily foreign exchange rate information for global currency pairs, including open, high, low, close, and change metrics. It enables robust financial analysis, risk assessment, and strategic planning for businesses engaged in international trade or investment. The data is structured to support time series analysis, forecasting, and regulatory compliance.
Acquisition details, depreciation methods, annual
This dataset provides detailed, year-by-year depreciation calculations for company assets, including acquisition details, depreciation methods, annual and accumulated depreciation, and book values. It enables precise financial reporting, tax compliance, and asset management by tracking each asset's lifecycle and depreciation schedule. The dataset is ideal for accountants, auditors, and financial analysts seeking transparency and accuracy in fixed asset accounting.
Transaction amounts, timestamps, ATM locations, card and account types
This dataset provides detailed records of ATM cash withdrawal transactions, including transaction amounts, timestamps, ATM locations, card and account types, and ATM cash balances. It is ideal for analyzing cash demand patterns, optimizing ATM restocking schedules, and understanding customer withdrawal behaviors across different locations and time periods.
Credit card transaction records enriched with fraud suspicion flags
This dataset provides detailed credit card transaction records enriched with fraud suspicion flags, risk scores, and contextual information such as merchant, location, and transaction method. It is ideal for developing, training, and evaluating fraud detection models, as well as for analyzing transaction patterns and identifying emerging fraud tactics in the financial sector.
Detailed claim information, approval workflow, policy compliance
This dataset provides a comprehensive record of employee expense reimbursement claims, including detailed claim information, approval workflow, policy compliance, and payment tracking. It enables finance teams to efficiently validate, audit, and analyze expense claims for policy adherence and financial reporting. The dataset is ideal for process optimization, fraud detection, and compliance monitoring.
Loan applications, capturing applicant demographics, financial profiles
This dataset provides a comprehensive view of loan applications, capturing applicant demographics, financial profiles, loan details, and subsequent loan performance. Designed for credit risk modeling and decision automation, it enables in-depth analysis of risk factors, default prediction, and portfolio management in the lending industry.
Code systems found in the sample rows of all 248 finance datasets.
Generated
One sentence in. A dataset with that pattern out.
| channel | mcc | amount | is_fraud |
|---|---|---|---|
| Online | 5411 | 84.20 | 1 |
| Chip | 5812 | 23.50 | 0 |
| Online | 5999 | 412.00 | 1 |
| Online | 5999 | 412.00 | 1 |
A pattern you asked for Everything else