De-identification & Anonymization Training

Learn how to unlock your organization’s data with risk-based de-identification/ anonymization

Custom Corporate Training

Two Half-day Sessions

Interactive Webinar Format

What You'll Learn To Do:

1

Understand the legal basis and requirements for de-identification/anonymization

2

Compare and evaluate industry approaches to de-identification/anonymization

3

Evaluate the risk levels of de-identified/anonymized data

4

Choose a de-identification/anonymization strategy for your organization

Course Outline

Module 1: Introduction to Anonymization

Learn when anonymization is necessary, how anonymized data can be used, and how anonymization can pay off for organizations. Understand how identifiable information is defined in Canadian, US and EU privacy legislation.

Module 2: Legal Basis of Anonymization

Learn which Canadian, US, and EU laws govern privacy and data protection, and how laws and guidelines define identifiability, de-identification, and anonymization. Review recent significant legislative changes and explore current trends in the sphere of privacy and data protection regulation.

Module 3: Industry Approaches to Anonymization

Explore different approaches to anonymization, including data masking, scenario-based de-identification, risk-based de-identification and anonymized analytics. Learn about risk measures and how they can inform the choice of de-identification strategies.

Modules 4 & 5: Implementing Anonymization Services

Understand the benefits of business architecture for anonymization services. Practise defining anonymization use cases and business rules, and evaluating and mapping anonymization maturity. Learn what questions to ask and what challenges to prepare for during the process of designing anonymization business architecture, choosing anonymization software, and planning service roll-out.

Module 6: Big Data and Anonymization

Understand the privacy risks of big data or open data environments. Explore how databases, as well as big data or open data systems, can be designed to support anonymization.

Instructor Bio

Waël Hassan, PhD

Dr. Waël Hassan, the founder of KI Design, is one of North America’s leading advisors in the fields of data analysis, privacy compliance, and data management. Waël has been working in the field of data science and privacy for over 20 years, both as a software developer and a consultant. He has developed big data strategy and systems, including de-identification/anonymization and social media analytics, for major government, non-profit and corporate clients. He is the author of numerous books and papers, including the comprehensive guidebook, Privacy in Design: A Practical Guide to Corporate Compliance.

Take the De-identification & Anonymization Training Anywhere

You can take this two half-day course online from the comfort of your own home or office. Our training programs are conducted in a hands-on environment that works best when participants are logged in on individual computers.

REGISTER NOW

If you are interested in registering your organization for the KI Design De-identification & Anonymization Training, please contact us to learn more.

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    FAQ

    What is the difference between De-identification and Anonymization?

    De-identification is the removal of enough personally identifying information to protect personal privacy, while anonymization is the act of removing all personal identifiers from data. De-identification can be reversed, but anonymization is permanent.

    What is the benefit of De-identification and Anonymization?

    De-identification and anonymization allow for the sharing and analysis of data while remaining in compliance with data privacy laws.

    Can this training be taken in different formats?

    The De-identification & Anonymization Training is offered both as two half-day sessions and as a full-day training course.