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Privacy by Design: Data Classification

Privacy by Design: Data Classification

1h 24mIntermediate2020-05-04

Authors

Nishant Bhajaria

Nishant Bhajaria

Privacy and Security Leader and Digital Product Architect

Course details

Companies often collect customer data with third parties to enable better products and growing engagement, as well as for safety reasons. But users expect—and deserve—that their information is handled with great care. In this course, instructor Nishant Bhajaria steps through how to create an architecture to manage data collection and measure risk, as well as afford privacy protections relative to that risk. This architecture—which is a combination of technology, techniques, and processes—can enable companies to be more disciplined with data while collecting and processing it. Nishant goes over the current privacy landscape, explains how classifying data can save you money in the long run, and shares what the data classification process should look like. He also takes a deep dive into the data inventory process, explaining how to best approach it and discern whether it is succeeding. Finally, Nishant provides context on executive communication on privacy governance.

Skills covered

Data PrivacyData ScienceOne-Off

Concepts

0. Introduction

  • 01 - My path to privacy
  • 02 - What you should know about this course

1. The Privacy Landscape

  • 03 - The legal and regulatory landscape
  • 04 - Privacy laws and ambiguity
  • 05 - Privacy laws and security
  • 06 - Privacy and the user
  • 07 - Challenge - Data collection scenario
  • 08 - Solution - Data collection scenario

2. Data Classification

  • 09 - Why do you need to classify data
  • 10 - How can data classification help you
  • 11 - The data classification process
  • 12 - Data classification example
  • 13 - Challenge - Data classification exercise
  • 14 - Solution - Data classification exercise

3. An Inventory of Your Data and Risk

  • 15 - What is data inventory
  • 16 - Why must you inventory your data
  • 17 - How can you prep for data inventory

4. A Deep Dive into Data Inventory

  • 18 - Right time for data inventory
  • 19 - Data inventory and data governance
  • 20 - How you discover data
  • 21 - Data inventory architecture
  • 22 - Data inventory metadata
  • 23 - Data inventory and use cases
  • 24 - Evaluating data inventory outcomes

5. Lessons from the Road - How to Do Data Inventory Right

  • 25 - Data inventory success metrics
  • 26 - Data inventory challenges
  • 27 - Data inventory and your C-suite

Conclusion

  • 28 - Next steps

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