DEVELOP AND IMPLEMENT ORGANISATIONAL-LEVEL DATA GOVERNANCE STRATEGY AND STRUCTURE

DEVELOP AND IMPLEMENT ORGANISATIONAL-LEVEL DATA GOVERNANCE STRATEGY AND STRUCTURE

Course Duration

16.0 hr(s)

Who Should Attend

  • Data Protection Officers
  • Staff who formulate and review data protection policies
  • Staff who develop data protection management programmes

Course Overview

Learners will be able to develop and implement organizational-level data governance strategy and structure to support the decision-making process on data-related matters and enforce adherence to data policies, procedures and practices within the organisation.

Courses Schedule

Next available schedule

Course Objectives

You will have knowledge of the following:

  • Data and privacy laws, regulations and key obligations under the PDPA
  • Evolving data-driven innovation needs and expectations, and ways in which data can be leveraged/harnessed in order to deliver innovative products and services
  • Implementation considerations for data governance structures
  • Knowledge about technology-related framework (eg AI Governance Framework) and datarelated frameworks (eg data sharing, data valuation)
  • Organisation’s perspective on ICT technologies, IT/cyber security, data ethics and data sharing principles.
  • Knowledge of a related industry domain

You will be able to perform the following:

  • Implement checks and periodically monitor the handling of personal data across the organisation
  • Monitor and maintain systems to check compliance against data governance guidelines
  • Establish a proper governance structure and define the data protection roles and responsibilities of each officer identified in the organisation
  • Review the effectiveness of existing governance structure, policies and processes
  • Oversee roll out of new or revised policies and practices on data governance, clarifying complex queries
  • Identify data to be governed and determine data usage and policies
  • Able to develop strategy that balance the need for data protection and data innovation
  • Identify potential conflicts between DP and DI and recommend a balanced approach to resolving these conflicts

Pre-requisites

These are the admission requirements:

  • Learner has to be competent in Fundamentals of Personal Data Protection Act module
  • Understand relevant organisational strategies, objectives, culture, policies, processes and products / services
  • Have information gathering skills to gather and collate necessary data
  • Have analytical skills to assess policies and procedures
  • Have business writing skills to prepare management report
  • Have interpersonal and communication skills to interact with relevant stakeholders
  • Have facilitation skills to ask the right questions to elicit necessary information
  • Be aware of compliance requirements of organisation

Course Outline

Data and privacy laws, regulations and key obligations under the PDPA

  • 9 main obligations
  • DNC
  • Exemptions

Evolving data-driven innovation needs and expectations and way in which data can be leveraged in order to deliver innovative products and services

  • Economic growth and relationship to new products and services
  • Increased output and productivity

Implementation considerations for data governance structures

  • What is data governance
  • What is data governance policy
  • Assembling a data governance team
  • Goals and benefits of data governance
  • Implementation
  • Vision for data governance
  • Mission statement
  • Goals
  • Roles and responsibilities
  • Success measures
  • Capabilities necessary

Tools and frameworks

Knowledge about technology-related framework and data-related frameworks

Organisations perspective on ICT technologies. IT/cyber security, data ethics and data sharing principles

Personal data requirements of the following industries:

  • Telecommunications
  • Real estate and Management Corporations
  • Education
  • Healthcare
  • Social Services
  • Transport Industry

Reference:

  • Advisory Guidelines for the Telecommunication Sector
  • Advisory Guidelines for the Real Estate Agency Sector
  • Advisory Guidelines for the Education Sector
  • Advisory Guidelines for the Healthcare Sector
  • Advisory Guidelines for the Social Service Sector
  • Advisory Guidelines on In-vehicle Recordings by Transport Services for Hire
  • Advisory Guidelines for Management Corporations
  • Guide to Data Protection by Design for ICT Systems
  • Guide to Data protection Impact Assessments
  • Trusted Data Sharing Framework

Fees and Funding

Price

Price to be advised.

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