IBM - IBM Data Privacy for Information Architecture 

Meet Christopher Giardina

Meet Tim Davis

Meet Paul Christensen

Transforming your business with modern data and AI architectures

What is an IBM DataFirst engagement?

Course disclaimer

IBM DataFirst Data Privacy introduction

Data governance and organizational structures introduction

DataFirst

Structures and roles

Organization governance structures

Use case example

Questions to consider

Data governance and organizational structures

Introduction to considering data privacy rights

Data protection, privacy and regulations overview

Example of a deployment

Data privacy regulations and initiatives

Exploring regulations

What is personal data?

Core Principles

A "Privacy Principles" approach

Getting started

Demonstrating compliance

Dealing with regulation - Practice quiz

Dealing with regulation

Data governance intersections introduction

Why data governance?

Private data, use case types, and governance building blocks

Key governance components: Who and what?

What is metadata?

Key governance components: Where, why, how?

Data Privacy policies and procedures examples

Example assessment guidance

Questions to consider

ODPi Egeria

Data governance intersections

Data privacy vs security introduction

Underlying principles

The difference between data privacy and security

Privacy mechanisms

Security mechanisms

Governance driven protection and use case introduction

Test data management use case

Analytics and data science use case

Summary

An end-to-end framework for privacy at scale

Data privacy vs security

Data privacy and the changing landscape

Data privatization mechanisms introduction

Personal data privatization vs. privatization of personal data

Personal data categories

Data topologies, use cases, and the data strategy perspective

Typical mechanisms overview

Data masking

Tokenization

Anonymization

Data fabrication

Personal data re-identification risk assessment

Other related approaches

Choosing privatization techniques and considerations

Data privatization mechanisms

Conducting the workshop introduction

DataFirst engagement

The agenda

The participants

Day one

Days two and three

Days four and five

Typical work products and deliverables

High level data flow approach

Breakdown of processes approach

People, process, and technology views

Drill down approach

Roadmap guidance example

Conducting the workshop