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Best Bank Statement Datasets, Databases & APIs

Find the right Bank Statement Data: Search, preview & buy data securely via Datarade.
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Credit card/ Debit card spend data, number of transactions, transaction by shop type

by TagX
We curate data from thousands of bank statements, credit card statements, and debit card statements to ... , text, audio, videos, and information-rich data assets for their artificial intelligence or data science
Available for 240 countries
1M records
4 years of historical data
100% match rate
Pricing available upon request
Free sample available
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TagX
Based in India
TagX
TagX is a Data aggregator working with a wide range of industries. We also help companies in annotating and curate their existing datasets. Contact us today...
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The Ultimate Guide to Bank Statement Data 2022

Learn about bank statement data analytics, sources, and collection.

Where can I buy Bank Statement Data?

Data providers and vendors listed on Datarade sell Bank Statement Data products and samples. Popular Bank Statement Data products and datasets available on our platform are Credit card/ Debit card spend data, number of transactions, transaction by shop type by TagX.

How can I get Bank Statement Data?

You can get Bank Statement Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Bank Statement Data is usually available to download in bulk and delivered using an S3 bucket. On the other hand, if your use case is time-critical, you can buy real-time Bank Statement Data APIs, feeds and streams to download the most up-to-date intelligence.

What are similar data types to Bank Statement Data?

Bank Statement Data is similar to Credit Card Transaction Data, Point-of-Sale (POS) Data, Loyalty Card Data, Consumer Transaction Data, and Debit Card Transaction Data. These data categories are commonly used for Artificial Intelligence (AI) and Machine Learning (ML).

What are the most common use cases for Bank Statement Data?

The top use cases for Bank Statement Data are Artificial Intelligence (AI), Machine Learning (ML), and Consumer Data Enrichment.