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Understanding and Prioritizing Data Privacy (2017)

Understanding and Prioritizing Data Privacy (2017)

1h 14mGeneral2019-11-04

Authors

Michelle Dennedy

Michelle Dennedy

VP and Chief Privacy Officer at Cisco

Course details

Get an introduction to the basics of data privacy: what it is, why it matters, and who it impacts, from consumers and private citizens to policymakers and C-suite business leaders. Michelle Dennedy, one of the data privacy community's strongest advocates, uses straight talk and engrossing stories and scenarios to illustrate why data privacy is becoming one of the most critical technology issues in our world today. Find out how organizations can build more robust systems, and extract maximum value from the data we do have access to. Explore what happens when data gets into the wrong hands, and learn what we need to know in order to protect ourselves in the face of a data-driven future.

Learning objectives
Relate the concept of data as intellectual property.
Examine the ways in which moral, legal, and ethical concerns apply to data privacy.
Explain how context applies to personal private information.
Recognize the motivations of individuals accessing data they are not authorized to access.
Define the implications of moral crumple zones.

Skills covered

Data PrivacyData ScienceOne-Off

Concepts

0. Introduction

  • 01 - Welcome
  • 02 - What you should know
  • 03 - Privacy overview

1. What Is Data Privacy

  • 04 - Data tells a story
  • 05 - Data as intellectual property
  • 06 - Personally identifiable information
  • 07 - Privacy vs. secrecy
  • 08 - Moral, legal, and ethical systems

2. The Importance of Data Privacy

  • 09 - The individual's perspective
  • 10 - The organization s perspective
  • 11 - Privacy is contextual
  • 12 - Trust and integrity
  • 13 - Consumer trust cliff
  • 14 - Consumers want transparency

3. What's at Stake

  • 15 - Protecting the story
  • 16 - Vulnerability to a system
  • 17 - Data in the wrong hands
  • 18 - React to privacy issues
  • 19 - Information economy

4. Privacy Solutions

  • 20 - Trust, transparency, and accountability
  • 21 - Planning for data
  • 22 - Privacy engineering
  • 23 - Moral crumple zones
  • 24 - Culture of privacy
  • 25 - Innovation

Conclusion

  • 26 - Emerging technologies
  • 27 - Next steps

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