YData for Financial Services

Improved and synthetic data for AI

AI led to remarkable breakthroughs for businesses and their customers in the Finance sector, which will only increase with time. Using automated data cleaning, creation of synthetic events and labelling, YData allows you to increase revenue streams, improve processes, and reduce costs.

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Use cases for the Financial Services

Improved fraud detection

Save money by detecting more fraud events

An optimised dataset with more and correctly labelled fraud events leads to easier training of the fraud detection models, higher accuracy and reduced costs. Credit card and Transaction datasets are often imbalanced with only a few events of the fraudulent category. Using YData, you can generate more data samples for the category of your choice to get improved model performance.

Improved underwriting

Optimize credit acceptance

Financial institutions use predictive AI/ML algorithms for tasks such as assigning the credit limits or granting loan approvals, but it is hard to have access to the right data and the volume of high-quality data required for these tasks. YData helps to improve existing data and synthesize new records for sharing, without compromising individuals’ privacy.

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Data compliance

Data sharing and data privacy combined

Managing enormous volumes of data makes data privacy and security two of the main challenges for financial organisations. YData allows you to generate any amount of new data while complying with privacy regulations - synthetic data is artificially created and preserves the same statistical attributes.

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