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What is Privacy-enhancing technologies (PETs)

Big Data Analytics Techniques for Market Intelligence
Privacy-enhancing technologies (PETs) are technology solutions, such as differential privacy, secure multi-party computing, confidential computing, and federated learning. These technologies enable complex data processing functions for sharing and analysis without revealing individual, household, or device-level personal information to parties that do not already have it. PETs protect personal information and data from unauthorized access, use, and disclosure.
Published in Chapter:
Suggesting New Techniques and Methods for Big Data Analysis: Privacy-Preserving Data Analysis Techniques
Puneet Gangrade (Fordham University, USA)
Copyright: © 2024 |Pages: 27
DOI: 10.4018/979-8-3693-0413-6.ch010
Abstract
New privacy rules and responsible data use are pushing companies to find clever ways to learn from data without exposing personal details. This chapter explains different techniques that protect privacy while still gaining insights. They provide strong privacy guarantees so organizations can use and share data safely. Real-world examples show how companies in marketing, healthcare, banking, and other industries apply these techniques to drive business value through secure collaboration and accelerated innovation. Recommendations help teams choose and test the right privacy tools for their needs. With the proper privacy toolbox, market intelligence can thrive in an era of ethical data analysis. Organizations that embrace privacy-first practices will gain a competitive advantage and consumer trust. This chapter equips teams to adopt modern privacy-preserving approaches to tap hidden insights in data while respecting user confidentiality.
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