Data governance: Risk strategy and data privacy

Data is the underlying infrastructure that helps support analytical decision making. In this course, you will cover the important legal, regulatory and organizational requirements that manage risk and help facilitate best practices in data governance and privacy.

Event Details

Jointly Presented By:

CPA Canada, KPMG Canada and Simon Fraser University’s Beedie School of Business (Executive Education)

Location and date:
Online (English) On-Demand Event

In this course, you will learn about the implications of compliance (regulatory, legal, organizational), along with how to apply five key criteria to assess data quality and evaluate risk. You will build a strong foundation of skills in other important topic areas as well, including guidance on the analytical use of data, the costs and risks associated with data storage, and overall best practices for data governance, privacy and stewardship.

This course is part of the Advanced Data Management Certificate Program (ADMCP). It can be taken individually or as a part of the full program.

You will learn:

  • how to differentiate between privacy and governance and why that matters
  • how data and information can be assessed, evaluated and generated
  • to understand the types of issues that arise from poor data practices and failures to be able to prevent them
  • to develop a Governance Plan for your organization that includes planning and scope, assessing risk, documenting and evaluating controls, prioritizing initiatives and building sustainability solutions

Prerequisites and requirements

Students are required to have previous data cleansing knowledge. This means that students should already be comfortable using a data analytic tool (such as Power Query or Power BI) to perform data cleansing as well as having basic statistics, visualization, and data modelling knowledge.

While our focus will be on the Microsoft suite of products, this program is designed to be tool agnostic. That means you can use your preferred tool, software and/or method to complete the activities. This is not a software tutorial program. It is expected that you have a good command of at least one tool.

For students who do not feel they have the required skills above, we recommend taking the Data preparation: Cleansing, modelling and dashboards course of the Data Management Foundations Certificate, or other introductory data cleansing courses or programs first.

Facilitated timeframes

The ADMCP is a facilitated program. Each core course is composed of six modules to be completed in six consecutive weeks, with one module of one course per week. To support your successful completion in the courses, a facilitator will be available each week during the designated six-week time frame to answer questions during a live Q&A or provide additional support in completing the weekly activities. Completion of course work and access to facilitators will only be available during the specified timeframes. The certificate of completion will be awarded once all module quizzes have been passed.

The next facilitated session for the course is July 8 – August 18, 2024.

Book your free consultation with our learning advisors!

For a free consultation, contact our CPA Canada Learning Advisors. They are here to understand your learning goals and help you meet them.

Early bird discount: A 10 per cent early bird discount is available to anyone who purchases an ADMCP course between now and January 15, 2024. Just use ADMCP10 at checkout.

Additional options and pricing may be available. See pricing and registration for more details.


25 CPD hour(s)
Pricing & registration

Who should attend?

This program is for CPAs and non-CPAs and is targeted toward analysts to senior manager roles in accounting and finance.

More Details:

Session Descriptions

Module 1: Introduction to Data Privacy & Governance
• Understand the concepts of privacy and governance and be able to differentiate between them
• Understand the historical concept and evolution of privacy
• Recognize the global implications of privacy and governance
• Develop a Governance Plan - Step 1: Plan and Scope

Module 2: Assessing the Data - Data Quality and Metadata
• Define and understand the differences between data, information and metadata
• Understand how data and information can be assessed or evaluated
• Recognize the importance of data quality and its impact on decision making
• Develop a Governance Plan - Step 2: Assessing Risk

Module 3: Getting the Data - Acquisition & Storage
• Understand the variety of ways that data is generated
• Recognize the infinite nature and relevance of data
• Conceptualize the relevance of data
• Recognize the variety of costs associated with data storage
• Develop a Governance Plan - Step 3: Document Controls

Module 4: Assessing Risk - Data Security, Policies & Procedures
• Understand the fundamental difference between risks of information assets and other asset classes
• Understand how our belief systems define our consideration of risk
• Understand the types of issues that can arise from poor data practices & failures
• Develop a Governance Plan: Evaluate Control and Design

Module 5: Data Privacy, Governance & Risk Strategy
• Recognize the fundamental importance of quality in data and information
• Understand the contribution of theory and the priority of the question over the answer
• Recognize probabilistic nature and fallibility of analytics
• Develop a Governance Plan - Step 5: Prioritize

Module 6: Controlling Access - Data Sharing & Stewardship
• Recognize the stewardship relationship with data
• Understand the risks involved with granting access
• Appreciate the new and changing relationship with trust
• Develop a Governance Plan - Step 6: Build Sustainability

Frequently asked questions:
1. How long does it take to complete the course?

Individual courses are designed to be completed within six weeks following the format of one module per week through the facilitated sessions.

2. What are the technology requirements for the program?

The ADMCP is delivered by a platform called Canvas, an online learning management system used by Simon Fraser University. Access to Canvas requires a personal computer and internet. Further, to complete activities, it is recommended for students to have access to Microsoft Office. While the program is designed to be tool agnostic, the following lists the recommended programs and those required for some modules:

  1. Word and Excel: Can be used for all Courses. Power Query within Excel can be used to solve some activities in this course
  2. Power BI: Recommended for visualizations and data analysis
  3. Tableau (optional): Alternative program introduced for visualizations

As many work laptops prevent employees from installing non-work-related programs for security purposes, we recommend using your personal computer or getting approval ahead of time to be ready for this course.

3. Is there any financial assistance or grants available?

Additional options and pricing may be available. Grants and financial assistance may also be available. For a free consultation, contact our CPA Canada Learning Advisors.

4. Where can I find out more about the course and the program?

You can find out more information on the program homepage where you will find a section on frequently asked questions and additional program information. The PDF document includes information on the course structure, facilitated session format, technology requirements, prerequisites, how to prepare, and more.

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Please contact:

Member Development and Support
Tel: 1-800-268-3793
Email: [email protected]