Summary
For B2B organizations, nonidentifying buyer data points can be combined and analyzed with predictive algorithms to identity specific individuals. To avoid violating privacy regulations such as the European Union’s General Data Protection Regulation (GDPR), organizations must ensure that personally identifying data points do not emerge from otherwise nonidentifying data fed into predictive models. In this report, we describe the types of buyer data that fuel predictive analytics and discuss the privacy concerns that may arise from the use of predictive analytics and buyer data.
Log in to continue reading
Client log in
Welcome back. Log in to your account to continue reading this research.
Become a client
Become a client today for these benefits:
- Stay ahead of changing market and customer dynamics with the latest insights.
- Partner with expert analysts to make progress on your top initiatives.
- Get answers from trusted research using Izola, Forrester's genAI tool.
Purchase this report
This report is available for individual purchase ($1495).