Accelerating Sensitive Data Analysis for Financial Services

LTIP on demand

Financial service organizations have a wealth of sensitive data that enables them to create new products, drive improved customer experience, and manage risk across the enterprise. While this data is of great value, many companies have developed policies that dramatically slow time to data away or destroy its analytical utility ...

Last Thursday In Privacy: On-Demand Session

LTIP on demand

Accelerating Sensitive Data Analysis for Financial Services

Financial service organizations have a wealth of sensitive data that enables them to create new products, drive improved customer experience, and manage risk across the enterprise. While this data is of great value, many companies have developed policies that dramatically slow time to data away or destroy its analytical utility in response to the ever-increasing threats, both internal and external. 

These policy decisions leave teams inside of these financial institutions that rely on sensitive data to do their job feeling unproductive and dissatisfied as they struggle to unlock the value they know is inside the data. Companies also struggle to open these policies up as data regulations like GDPR, and the CCPA continue to become more prominent.

Learn how leading financial companies are automating key aspects of sensitive data management to accelerate time to data and broaden data access throughout their enterprise. 

Key Audience Takeaways:

  • Explore how policy-driven automation can accelerate the analysis of sensitive data
  • Learn how to build a scalable sensitive data management process
  • Understand how to effectively leverage this critical asset in a compliant manner

Hosted by:

  • Sean Butler (Director of Product Marketing, Privitar)
  • Steve Wright (Partner, Privacy Culture)