Banking/Finance Sector Dataset Generator

Generate real-time banking/finance datasets with ETL every 5 seconds, up to 2TB

Customize Dataset Size

Enter the number of rows for each table. Datasets are generated and cleaned (ETL) every 5 seconds in memory. View eleven dashboards in a tabbed modal or download datasets. For >1M rows (up to 2TB), use the server-side Python script.

About the Dataset

Datasets are generated and cleaned (ETL) every 5 seconds in memory. ETL includes data cleaning, validation, deduplication, and enrichment. A pop-up window shows when it's the best time to download based on data quality (e.g., Completeness > 95%, Duplicate % < 1%, Referential Integrity 100%). Click 'Download Datasets' or use the pop-up's 'Download Now' button when prompted. Eleven dashboards (Customer & Account, Deposits & Withdrawals, Loans & Credit, Transactions & Payments, Risk & Compliance, Profitability & Efficiency, Capital & Liquidity, Customer Service, Digital Channels, Sustainability & Social, Innovation & Technology) appear in a draggable, resizable tabbed modal after the first generation, updating every 5 seconds, with options to minimize, maximize, or download as JPG/Excel. The dataset includes:

customers.csv: Customer demographics, credit scores, NPS, CLV.
accounts.csv: Account details (type, balance, status), linked to customers.
transactions.csv: Transaction details (amount, type, channel, fraud status), linked to accounts and customers.
loans.csv: Loan details (type, amount, status, repayment), linked to customers.
marketing_campaigns.csv: Campaign performance (leads, conversions).
service_tickets.csv: Customer service interactions (resolution time, complaints).
digital_interactions.csv: Digital platform usage (session duration, app errors).
bank_overall_data.csv: A combined, wide dataset with 120-150 columns, integrating key information from all tables at the customer level.

CSVs are Excel-compatible with correlations (e.g., income vs. loan amount) and cleaned data. For 2TB datasets, use the Python script with similar ETL logic.

Customize Dataset Size

Data Quality Metrics

Download Status

Banking/Finance Dashboards

Active Accounts

Customer Acquisition Rate

Customer Retention Rate

Net Promoter Score (NPS)

Customer Lifetime Value (CLV)

Active Accounts by Type

Churn Rate by Segment

Total Deposit Volume

Deposit Growth Rate

Average Deposit Size

Withdrawal Frequency

Deposit-to-Withdrawal Ratio

Deposit Channel Distribution

Seasonal Deposit Trends

Loan Origination Volume

Loan Approval Rate

Non-Performing Loan (NPL) Ratio

Delinquency Rate

Loan Repayment Speed (Days)

Average Loan Size by Type

Total Transaction Volume

Average Transaction Size

Digital Payment Adoption Rate

Fraudulent Transaction Rate

Transaction Success Rate

Payment Channel Mix

AML Flags Count

Cybersecurity Incidents

Compliance Incidents Resolution Time (Days)

Fraud Detection Accuracy

Market Risk Exposure (VaR)

Credit Risk Score Distribution

Net Interest Margin (NIM)

Return on Assets (ROA)

Cost-to-Income Ratio

Revenue per Customer

Employee Productivity (Revenue/Employee)

Fee Income Contribution

Capital Adequacy Ratio (CAR)

Liquidity Coverage Ratio (LCR)

Cash Reserves Level

Net Stable Funding Ratio (NSFR)

Funding Cost

Liquidity Stress Test Results

Avg. Call Resolution Time (Mins)

First Contact Resolution Rate

Customer Complaints

Avg. Response Time (Hours)

Self-Service Resolution Rate

Channel Usage

Mobile Banking Adoption Rate

Online Banking Active Users

Digital Transaction Percentage

App Crash/Error Rate

Digital Onboarding Completion Rate

Session Duration & Frequency

Green Loan Portfolio Size

ESG Compliance Score

Community Investment Spending

Diversity in Lending (%)

Carbon Footprint of Operations (Tons CO2)

Investment in Fintech R&D (% of Revenue)

New Feature Rollout Frequency (Monthly)

AI/ML Model Accuracy

Cloud Infrastructure Adoption Rate

API Uptime/Availability (%)

About the Dataset