Data Governance Foundation Training (DGFT)

Data governance technologies are evolving fast to meet the increasing demand of digital businesses today. This has forced organizations to adopt an all-inclusive data intelligence platform that integrate data governance, data quality and analytics capabilities for data-driven initiatives. Such platform enhances the ability to control data, empowering users to self-service their data needs without relying on just the IT department to solve business problems.

With a proper data governance strategy in place, data will be more secured and increases the audibility. Uniformity of data will make analysing, reporting and decision making easier.

Data governance can allow businesses to successfully take advantage of their data to gain actionable, data-driven insights that are timely, relevant and accurate.

Course Information

  • Duration: 4 Day / 32 Hours
  • Certification: Participants will receive a Certificate of Completion upon successfully completed the course
  • Who Should Attend: IT, Data, Data Management (policy, quality), Data Analytics, Statistic, Business Owners and anyone seeking to acquire knowledge on data governance

Module 1 Data Management

  • Introduction to Data Management
  • Essential concepts
  • Data Management Frameworks
  • Module 2 Data Handling Ethics

  • Introduction
  • Drivers
  • Essential Concepts
  • Module 3 Data Governance

  • Introduction
  • Business Drivers
  • Goals and Principles
  • Data Governance Activities
  • Implement data governance practice
  • Tools & Techniques
  • Implementation guidelines
  • Metrices for value, effectiveness, sustainability
  • Module 4 Data Management Organization and Roles Expectations

  • Introduction, Understanding existing organization and cultural norms
  • Data management organizational Models
  • Critical success factors
  • Build the data management organization
  • Interaction between the DMO
  • Data Management roles
  • Module 5 International, Regional Regulatory Framework

  • BASEL Guidelines
  • General Data protection Act
  • MAS (Monetary Authority of Singapore) guidelines
  • BNM (Bank Negara Malaysia) guidelines