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Data minimization is now a popular data protection requirement for policy makers. Whether it’s in established laws like HIPAA, GDPR or the CCPA, or the emerging state laws, lawmakers increasingly expect that businesses will only collect, use, and retain only the minimum amount of personal data. That’s easier said than done.
While the requirement seems straightforward, it is very difficult to implement or even to know where to start. Matt McClelland, Managing Director & IG Practice Leader at Ankura, joins host Scott Loughlin to explore data minimization strategies, including as part of larger data governance programs. While challenging, learning how to approach data minimization can create lasting value for data-driven businesses' AI and cyber risk management.
By Hogan Lovells4.6
1010 ratings
Data minimization is now a popular data protection requirement for policy makers. Whether it’s in established laws like HIPAA, GDPR or the CCPA, or the emerging state laws, lawmakers increasingly expect that businesses will only collect, use, and retain only the minimum amount of personal data. That’s easier said than done.
While the requirement seems straightforward, it is very difficult to implement or even to know where to start. Matt McClelland, Managing Director & IG Practice Leader at Ankura, joins host Scott Loughlin to explore data minimization strategies, including as part of larger data governance programs. While challenging, learning how to approach data minimization can create lasting value for data-driven businesses' AI and cyber risk management.

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