What is Bank Transaction Data? Best Datasets & Databases 2025
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- Guide
- FAQ
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- Guide
- FAQ
What is Bank Transaction Data?
Bank transaction data is detailed information recorded for each financial transaction conducted by an individual or a business through their bank account. This data is crucial for monitoring account activity, tracking expenses, and analyzing financial patterns.
What are Examples of Bank Transaction Data?
Bank transaction data includes such information as the number of credit card withdrawals per day, the value of credit card withdrawals per day, cash credits value, and number of online transactions. This gives the user access to the specific information they need:
- Number of Credit Card Withdrawals Per Day: Tracking daily credit card usage.
- Value of Credit Card Withdrawals Per Day: Total amount withdrawn using credit cards.
- Cash Credits Value: Amount of cash credited to the account.
- Number of Online Transactions: Count of transactions completed online.
- Transaction Date and Time: When the transaction occurred.
- Transaction Amount: How much money was involved.
- Parties Involved: Information on who sent or received the money.
- Transaction Description: Details describing the nature of the transaction.
Best Bank Transaction Databases & Datasets
The best bank transaction datasets provide detailed transaction records, customer insights, and merchant data to support financial analysis and fraud detection. This list features the top bank transaction datasets, selected for accuracy, quality, and trusted sources.
TagX - Transactions data | Consumer Spending data | Bank Transaction data
Envestnet | Yodlee's De-Identified Bank Transaction Data | Row/Aggregate Level | USA Consumer Data covering 3600+ corporations | 90M+ Accounts
Consumer Transaction Data | UK & FR | 600K+ daily active users | Retail - Footwear | Raw, Aggregated & Ticker Level
Envestnet | Yodlee's De-Identified Bank Statement Data | Row/Aggregate Level | USA Consumer Data covering 3600+ corporations | 90M+ Accounts
AIKE| Mobile Location and Shopping Data | Shopping Heat Map| Consumers Transaction Data | UK&US| Brand & Market Trends| Profiling and Habits
Alesco New Homeowner Data - 208K+ US based addresses of people who have purchased a home in the last 30 days. Licensing Available!
DEX & CEX Cryptocurrency Prices | VWAP Data, Refreshed Every 24h (EOD) | Crypto Data | 10K+ Tickers | No Rate Limits
Asian Continent (51 Countries) Detailed Customs Data | Trade Activities Insights | Trade data API | Supply Chain Analysis
US National Mortgage Assignments & Releases | 213M+ Records | Mortgage Rates Data & Property Owner Data
Unbanx Real-Time UK Consumer Transaction Data (de-identified, pay as you go, Stock ticker)
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Top Bank Transaction Data Providers & Companies
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Envestnet | Yodlee
CoverageUSAEnvestnet® | Yodlee® is a market leader in de-identified consumer spend/income data. We tag thousands of public and private companies to billions of transactions that we capture in near real time (T+1) and make available via feeds or dashboard.15 m+Active usersSince 2011HistoryT+2Latency -
TagX
CoverageUSAUK+248VWe requested data in the form of various forms and documents associated with Tax and Bookkeeping that we plan to use to developing a digital document processing solution based on artificial intelligence.
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AIKE
CoverageUSAUK+248SWe are thoroughly impressed with Scorri's exceptional provision of high-quality data at a competitive price point. The data's superior quality, coupled with its extensive volume, has significantly reduced our cleansing efforts and facilitated accurate analysis, ultimately saving us valuable time. Kudos to Scorri for their outstanding service!
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Soleadify
CoverageUSAUK+215Soleadify is a modern data technology company. Every week, we use AI and NLP to capture and refresh web and social media content on over 70 million active SMBs and private companies in 200 countries and 20 languages.70M+Company Profiles200+Countries100+Data Attributes -
Unbanx
CoverageUKIrelandUnbanx is a leading provider of 100% opt-in UK consumer purchase data. We provide ultra high-quality, anonymised data to inform your business decisions. All data is collected through our consumer facing rewards app. Consumers get rewards for contributing their data to the Unbanx data set.GDPR+CCPAPrivacy ComplianceOpt-InCollected via Open BankingGen Z85% are Gen Z or Millennials
Popular Use Cases for Bank Transaction Data
Bank transaction data supports financial and business applications. Common use cases include fraud detection, where transaction patterns are analyzed to identify suspicious activity, and financial forecasting, leveraging historical transaction trends to predict future cash flow and spending behaviors, just to mention a few.
Main Attributes of Bank Transaction Data
Below, we outline the most popular attributes associated with this type of data—features that data buyers are actively seeking to meet their needs.
| Attribute | Type | Description | Action |
|---|---|---|---|
| String | The postal code of an address. | View 30 datasets | |
| String | The address of a company or contact (street name, number, zip code, city, county, country). | View 2 datasets | |
| String | The name of a city. | View 2 datasets | |
| String | The Standard Industrial Classification (SIC) code of a company. | View 2 datasets | |
| Float | The price of a product. | View 2 datasets | |
| String | The ticker symbol of a stock. | View 2 datasets |
Use Cases for Bank Transaction Data in Detail
Bank transaction data has numerous applications across various sectors:
- Expense Tracking: Helps individuals and businesses monitor their spending.
- Fraud Prevention: Identifies unusual or suspicious activities.
- Financial Analysis: Provides insights into spending patterns and financial health.
- Customer Insights: Helps banks understand customer behavior and preferences.
Bank Transaction Data Attributes
Imagine a business account with multiple transactions in a day. A sample data entry might look like this:
- Transaction Date and Time: July 3, 2024, at 2:30 PM
- Transaction Amount: $500.00
- Parties Involved: Payment to XYZ Supplies, Inc.
- Transaction Description: Office supplies purchase
- Number of Credit Card Withdrawals Per Day: 3
- Value of Credit Card Withdrawals Per Day: $1,200.00
- Cash Credits Value: $1,000.00
- Number of Online Transactions: 5
You can find this type of data in databases or datasets that fall under the category of transaction data.
What Sources are Used to Collect Bank Transaction Data?
Bank transaction data is gathered from various origins to present a complete financial picture:
- Bank Statement Data: Monthly summaries of all transactions.
- Credit Card Data: Details of credit card usage.
- ATM Receipts: Information on cash withdrawals and deposits.
- Mobile Banking Apps: Access to transactions on the go.
Privacy and Compliance for Bank Transaction Data
Handling bank transaction data involves strict adherence to privacy and compliance standards to protect sensitive information:
- GDPR: General Data Protection Regulation in Europe requires stringent data protection measures.
- CCPA: California Consumer Privacy Act in the US requires stringent data protection measures.
- AML: Anti-Money Laundering laws mandate monitoring and reporting of suspicious activities.
- KYC: Know Your Customer regulations demand verifying the identities of clients.
What is Bank Transaction Data Analysis?
Various technologies and tools are available for analyzing bank transaction data to extract valuable insights:
- Data Analytics Platforms: Tools like Tableau and Power BI for visualizing transaction data.
- Machine Learning Algorithms: Used for predicting trends and detecting anomalies.
- Financial Management Software: Applications like QuickBooks for managing finances.
- SQL Databases: For querying and managing large datasets.
Frequently Asked Questions
How Frequently is Bank Transaction Data Updated?
Bank transaction data can be updated daily, weekly, monthly, or on-demand, depending on the data provider and the specific needs of the business.
What Formats are Available for Bank Transaction Data?
Bank transaction data is commonly available in formats such as .sql, .txt, and .csv. These formats facilitate easy integration with various data analysis and business intelligence systems.
How Can Bank Transaction Data Be Delivered?
Bank transaction data can be delivered via methods such as S3 Bucket, SFTP, and email. These delivery methods provide secure and efficient access to large volumes of data.
What Geographic Areas Does Bank Transaction Data Cover?
Bank transaction data typically covers specific regions or countries. For example, some datasets cover the USA, while others provide global coverage, including countries across Africa, Asia, Europe, and the Americas.
How Much Historical Data is Available for Bank Transaction Data?
The amount of historical data available varies by provider. Some datasets offer up to 10 years of historical data, enabling detailed trend analysis and long-term market research.
How Accurate is Bank Transaction Data?
The accuracy of bank transaction data is typically high, with some providers reporting up to 99% precision tagging and 100% match rates. This ensures reliable and precise insights for business decision-making.
What is the Volume of Bank Transaction Data Available?
The volume of bank transaction data can be extensive, covering millions of transactions from thousands of accounts. For instance, some providers offer data from over 3,000 merchants and millions of users, with high-precision tagging for detailed analysis.
What Privacy and Compliance Measures are Taken for Bank Transaction Data?
Bank transaction data is de-identified and aggregated to ensure privacy and compliance with industry standards. Providers apply rigorous data science practices and adhere to federal and state regulations to maintain data quality and privacy.
What is the Cost Structure for Bank Transaction Data?
The cost of bank transaction data varies depending on the provider and the specific requirements of the business. Pricing models are typically customized based on data volume, delivery frequency, and the level of detail required.
What Similar Data Types Complement Bank Transaction Data?
Bank transaction data can be complemented by other data types such as Point-of-Sale (POS) Data, Consumer Transaction Data, Sales Transaction Data, B2B Transaction Data, and Industrial Transaction Data.
