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This E-Book Covers

  • An overview of the challenges faced by capital markets in using their sensitive data
  • An introduction to privacy-preserving analytics and machine learning technology
  • Use cases for capital markets leaders

Capital markets teams provide key services across a wide swath of the financial ecosystem, including prime and custody services, electronic trading, and investment research.  Each of these services deals with sensitive data of many types, including security transactions and flow data.  Based on their scale, banks have a competitive advantage to combine their various data assets to drive differentiated value to their clients. Instead, it is a challenge to use much of the data they already possess, hindered by regulatory restrictions, security, and reputational risks.  Capital markets teams need a new way to make datasets available across internal silos, acquire data from other business lines, and provide innovative information products to their clients.

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