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Course Description

In this course, you will create the best data protection solution to optimize marketing insights for your organization. There are privacy issues and risks associated with customer data as well as various tactics to reduce the identifiability of individuals, while also maximizing revenue from that customer data. By exploring graphical techniques, you will choose the point at which you can best maximize profitability and customer privacy. This course will guide you through a four-step process that will transform your data. In addition to existing best practices, this course explores a cutting-edge technique that allows you to use synthetic data to maximize a firm’s revenue.

The following courses are required to be completed before taking this course:

  • Data Privacy in Marketing
  • Defensive Data Strategies

Faculty Author

Sachin Gupta and Matthew Schneider

Benefits to the Learner

  • Examine privacy metrics around uniqueness
  • Demonstrate the trade-off between profitability and privacy
  • Transform your data set to maximize profitability and privacy

Target Audience

  • CMOs
  • CIOs and CTOs
  • Mid- and senior-level marketing managers
  • Brand and product managers
  • Data scientists and analysts
  • Web developers
  • Tech leaders and IT professionals
  • Consultants

Applies Towards the Following Certificates

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Cornell Johnson Graduate School of Management
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