E-books

PRIVACY-PRESERVING ANALYTICS FOR
RETAIL BANKING

Retail and corporate banks hold massive amounts of data on the banking activities of both individuals and institutions. Today, financial institutions analyze this data for specialized purposes, including marketing, credit scoring, and fraud detection. However, there are many value-generating activities that are limited or outright restricted due to security concerns and regulations. Examples of these use cases include cross-border data analysis, cross-line of business data analytics and sharing information with partners.  Banks need a new way to achieve compliance while extracting the maximum value from their sensitive data assets.

This E-Book Covers

  • An overview of the challenges faced by retail and corporate banks in using their data
  • An introduction to privacy-preserving machine learning technology
  • Use cases for retail and corporate banking leaders

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