Advanced Data Governance (ADG)

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: 5 Day / 40 Hours
  • Certification: Participants will receive a Certificate of Completion upon successfully completed the course
  • Who Should Attend: Leaders, Managers, Supervisors, Business Owners and anyone seeking to acquire knowledge on data governance

Module 1 Introduction to Data Quality

  • Introduction
  • Drivers
  • Goals and Principles
  • Essential Concepts
  • Data Quality Activities
  • Tools
  • Techniques
  • Data Quality & Data Governance
  • Module 2 What is Data Security

  • Introduction
  • Drivers
  • Goals and Principles
  • Data Security Activites
  • Tools
  • Techniques
  • Data security governance
  • Module 3 Metadata management

  • Introduction
  • Drivers
  • Metadata Management Activities
  • Tools
  • Techniques
  • Implementation guidelines
  • Metadata Governance
  • Module 4 Reference and Master data management

  • Introduction
  • Activities
  • Tools & Techniques
  • Implementation guidelines
  • Organizational and cultural change
  • Reference and master data governance
  • Module 5 Data warehouse and business intelligence

  • Introduction
  • Drivers, goals and principles, essential concepts
  • Activities
  • Tools
  • Implementation guidelines
  • DW/BI governance
  • Module 6 Data Storage and operations

  • Introduction
  • Business Drivers, goals and principles, essential concepts
  • Activities
  • Tools
  • Techniques
  • Implementation guidelines
  • Data storage and operations governance
  • Module 7 Data integration and Sharing

  • Introduction
  • Business Drivers, goals and principles, essential concepts
  • Activities
  • Tools
  • Implementation Guidelines
  • Date integration governance
  • Module 8 Document and Content Management

  • Introduction
  • Business Drivers, goals and principles, essential concepts
  • Activities
  • Tools
  • Techniques
  • Implementation guidelines
  • Document and content governance
  • Module 9 Big Data and Data Science

  • Introduction
  • Business Drivers, goals and principles, essential concepts
  • Activities
  • Tools
  • Techniques
  • Implementation guidelines
  • Big data and data science governanace