Course Option:
Classroom, Instructor-Led Webinar
Target Audience:
Executive managers, regulators, operators, service companies, data and software vendors, Schools (educators, students). Project Managers, Geologists, O&G Engineers, Financial, Field Workers, Business Analyst, Data Governance, Data Architect, Data Management Leaders, Data Managers, Database Analyst, Software Developers.
Course Description:
This course provides a
structured introduction to the principles and practices of Master Data
Management (MDM) in the energy industry. Participants will examine how MDM
supports corporate strategy, data governance, and cross-functional
collaboration. Through guided discussion and applied examples, learners will
develop awareness of key MDM components, architectures, and challenges.
Curriculum Overview:
- Industry drivers and the role of master data
- Core concepts and definitions in MDM
- Governance, semantics, and trust as foundations
- MDM architectures and strategies
- Common challenges and success factors
Learning Outcomes:
Awareness: Define Master Data Management and distinguish it from other data management practices.
Awareness: Recognize how industry objectives drive the need for master data strategies.
Knowledge: Describe how MDM establishes trust, semantic consistency, and interoperability.
Knowledge: Identify the core components of MDM, including governance, language, trust, and architecture.
Application: Analyze common challenges in MDM development and propose approaches to address them.
Application: Relate MDM practices to energy industry objectives and professional data management standards.
Evaluation Method(s) / Metrics:
Concept checks throughout the course.
Final Exam. Pass grade 70% or higher.
Completion Award:
Must achieve a pass on the final exam.
PPDM Association Certificate of Completion, Virtual Badge, PDU for CPDA.
Special Requirements:
No special requirements associated with this course.