Data Governance, Protection and Compliance Management

Why Attend

Data Governance and Compliance is the specification of decision rights and an accountability framework to encourage desirable behavior in the valuation, creation, storage, use, archiving and deletion of information. It includes the processes, roles, standards, and metrics that ensure the effective and efficient use of information in enabling an organization to achieve its goals. The General Data Protection Regulation (GDPR) is coming into law across Europe in 2018 and will lead to major changes to Privacy and Data Protection around the world.

This course provides participants with in-depth knowledge in Data Governance, Privacy and Data Protection, and practical skills to help manage, plan, support, analyze, deliver and support an ever-growing volume of data and information within their organizations.  The course addresses international best practices, addresses industry regulations, legal requirements, information compliance, auditing, and cybersecurity standards.

More specifically, the course covers best practices and international standards including ISACA, ISO 8000 – International Data Management Standards, Data Analysis, Data Analytics, Big Data, Database, Data Warehouse, Reporting, Information Compliance, Data Security based on ISO27001 – Information Security, Master Data Management (MDM), Metadata Management & Records Management Compliance.  The course also reviews Privacy and General Data Protection Regulation (GDPR) and references cases of major data breaches such as Facebook and Cambridge Analytica.

As part of the course, participants conduct group and individual exercises and learn from industry best practice case studies. The best practice can be applied to improve data management within their own organizations.

Course Methodology

The material used in the training course will be based on exercises as well as regional and international case studies. Participants will frequently work in pairs with one another as well as in larger teams.

Course Objectives

By the end of the course, participants will be able to:

  • Understand how data and information can be managed more efficiently and effectively within organizations to tackle Privacy, Data Protection and Cyber Security threats and risks
  • Recognize Data Governance controls, policies, and strategies to capture, manage and securely dispose of business data and records
  • Develop action plans to manage information compliance, audits, legislation and regulations thorough review of information and information management controls
  • Set up and implement a Data Governance project, including addressing roles and responsibilities, risk management and improving business processes
  • Manage data to international best practices ISACA, ISO 8000 – International Data Management Standards, Privacy, and Global Cyber Security

Target Audience

This course is suitable for IT professionals, document controllers, auditors, site administrators, general management and anyone tasked with managing and protecting data and information. This also includes professionals already familiar and involved with data management and seeking to build on their fundamental principles of managing data, information, and records.

Target Competencies

  • Data Governance
  • Information Security Management
  • Data Compliance
  • Managing Data
  • Data Management Policies and Procedures


South Africa

Training Dates:

Each course starts every Monday of each week. Please book your training on a date that is a Monday.

Course Duration:

Unit Standard:

NQF Level:

Number of Credits:

Course Fees

Note: Please fill in the online application form on the left or bottom if this page to receive a quotation with detailed pricing from AATICD.

How to Apply:

To Apply Simply Fill in the Online Enquiries / Applications form on the Right Sidebar or Bottom of this website


When filling the online application form; please take note of your desired Training Month, Duration in Weeks and Training Session. This will give us the exact dates you will be attending your classes.

Also note that Tuition Fees must be paid upfront on or before training start date. This is to ensure that all resources are made availabe for you before you start. You will not be allowed into training if fees are not paid and verified.

Also note that Tuition Fees Cancellations must be made 14 business working days before the starting date of training. This will allow us to do a 50% refund of the total amount paid. If cancellations are made thereafter note that no refund will be made to delegates.

Tuition Fees include teas and lunch as well as either a laptop or tablet which a delegate will take home free of charge.

Tuition Fee DOES NOT include Accommodation, Dinners and other Extra Curricular Activities or Incidentals. Delegates are expected to fund this on their own. AATICD will not be held accountable for any incidents to delegates.

In-House Trainings are also available for 3 or more delegates for any duration. Please consult with our Administration for such In-House training bookings.

Course Outline

  • International Data Management Standards
    • Introduction to Data Governance and Management
    • Managing Structured and Unstructured Data
    • Data Lifecycle Management (DLM)
    • Master Data Management (MDM)
    • ISO 8000 – Information and Data Quality
    • Data Management Skills and Responsibilities
  • Compliance, Regulations, Data Security and ISO 27001
    • Data Governance Management Standards and Compliance
    • ISACA Auditing Standards
    • General Data Protection Regulation (GDPR) and Privacy
    • Document and Records Management Compliance
    • ISO27001 Information Security and Cyber Security
  • Analysis, Analytics, Mining and Reporting
    • Data Analysis
    • Data Modelling
    • Data Analytics
    • Business Intelligence (BI) Reporting
    • Data Mining
    • Management Reporting
    • Business Process Modelling
    • Data Flow Diagrams (DFDs)
  • Data Governance IT Solutions
    • Enterprise Content Management Systems
    • Document and Records Management
    • Data Dictionary, Data Analysis, and Data Mining
    • Relational Databases and Indexing
    • Archiving and Preservation
  • Developing Policy, Procedures and Action Plans
    • Data Governance Management Polices
    • Develop Data Lifecycle Management Procedures
    • Create Data Governance Management Action Plan