NEVADA | PROFESSIONAL EXPERIENCE

Program Professional Framework

Data Management Professional Certification

Program Overview

Data management is a discipline with a recognised body of knowledge, and organisations building data offices need staff who understand all of it, not just one tool. This programme works through the DAMA-DMBOK knowledge areas: data governance, architecture, modelling and design, storage and operations, security, integration and interoperability, document and content management, reference and master data, data warehousing and BI, metadata and data quality. Each area is linked to practical artefacts and to national data management standards adopted across the Gulf.

Learning Outcomes

✓Explain the scope, activities and deliverables of each DAMA-DMBOK knowledge area.
✓Design a data governance structure with roles, policies and decision rights for an organisation.
✓Produce conceptual and logical data models for a business domain.
✓Specify master data management and data quality processes for a critical data domain.
✓Define metadata and data security requirements aligned with classification policies.
✓Assess data management maturity and identify priority improvements.

Target Audience

Data governance and data management officers
Data architects and data modellers
Data quality and master data analysts
IT and business staff joining a data management office

Detailed Program Modules

01Data Management Framework

DAMA-DMBOK wheel and knowledge areas
Data management principles and ethics
National data management standards

02Governance, Architecture and Modelling

Data governance structures and policies
Enterprise data architecture
Conceptual, logical and physical models

03Storage, Security and Integration

Database operations and storage
Data security and classification
Integration and interoperability patterns

04Master, Reference and Content Data

Reference and master data management
Document and records management
Content lifecycle and retention

05Warehousing, Metadata and Quality

Data warehousing and BI
Metadata management
Data quality management

06Maturity and Practice Readiness

Data management maturity assessment
Building a data office roadmap
Scenario-based knowledge review

Training Methodology

Interactive expert-led sessions grounded in workplace examples

Case studies and practical exercises drawn from the region

Group workshops with peer review of decisions and deliverables

Formative feedback against clear performance criteria

Applied Project & Assessment

Applied Project

Participants assess data management maturity in their organisation across the knowledge areas, then prepare a governance charter, a logical data model for one domain and a data quality plan for its critical attributes.

Assessment

Short diagnostic at the start, practical tasks linked to each learning outcome, and evaluation of the applied project against published criteria.

University Certificate & International Accreditation

Professional Certificate accredited by Twintech International University College of Technology in Data Management Professional Certification

International accreditation: American Association of Innovation (AAI)