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Pick the freshest data on the market

Power your business onboarding decisions with the most accurate KYB data on the market. Learn why the leading banks and fintechs choose Middesk as their source of truth.

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Data quality and strategy for modern business compliance

In KYB, one bad apple ruins the bunch

Your business onboarding program is only as good as the bad apples you let through. Keep fraudsters out and onboard qualified businesses faster with the freshest and most comprehensive business identity data available anywhere.

Improved auto-decision rates

Lower risk (fewer bad apples)

Better customer experience

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What makes high-quality KYB data?

Shopping for business identity data? Make sure these questions are on your list:

Is your data fresh?

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Freshness refers to the data being available and ready when needed. This can specifically include the recency of data and whether it reflects the most recent information available. Metrics like data freshness and monitoring lag help ensure that data is up-to-date and accessible promptly.

Is your data  complete?

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2 eggs left out of a 6 egg basket, on a white background

Completeness refers to the expectation that data is sufficiently filled to deliver meaningful inferences and decisions. Metrics like fill rate and qualification rate are used to assess completeness.

Is your data  consistent?

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Consistency means that data values for the same entity or attribute should be the same across all data sources, datasets, and data points, without any discrepancies or contradictions. Metrics such as anomaly detection and manual inconsistencies highlight areas where consistency can be improved.

Is your data  unique?

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Uniqueness refers to the extent to which each data record or entity is distinct and does not contain any duplicate or redundant data. Metrics like duplication count help identify redundancies, ensuring that data accurately represents a single instance or occurrence.

Is your data  accurate?

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Accuracy measures how closely data values align with the source of truth. Metrics such as error rate and auto-decision rate help gauge accuracy.

Pick the freshest data

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