course | Certified Data Management Professional (CDMP)
Certified Data Management Professional (CDMP) course designed for professionals in GCC. Learn, apply, and get certified in certified data cdmp.
DIGTR-2455 | Certified Data Management Professional (CDMP)
Course Sector : Digital Transformation and Innovation
| Duration | Date from | Date to | Course Venue | Course fees | Book a course |
|---|---|---|---|---|---|
| 5 Days | 31/08/2026 | 04/09/2026 | Dubai | $4,250 | Book now |
| 5 Days | 09/11/2026 | 13/11/2026 | Dubai | $4,250 | Book now |
| 5 Days | 15/03/2027 | 19/03/2027 | London | $4,950 | Book now |
| 5 Days | 07/06/2027 | 11/06/2027 | Abu Dhabi | $4,250 | Book now |
Course Introduction
Data has become one of the most valuable strategic assets for modern organizations. However, many organizations struggle with data quality issues, inconsistent definitions, fragmented systems, weak governance, and ineffective data usage—resulting in poor reporting, unreliable analytics, and higher compliance and operational risk. Effective data management is essential to ensure that data is accurate, secure, accessible, and fit for business decision-making.
To address these challenges, BOOST Consulting & Training has developed the Certified Data Management Professional (CDMP) program. This course provides participants with a structured and practical foundation in enterprise data management principles and best practices.
The program focuses on key areas such as data governance, data quality, metadata management, master data management, data architecture, data lifecycle management, and the integration of data management frameworks with business intelligence initiatives. Participants will gain the knowledge and tools required to strengthen data management capabilities, support data-driven decision-making, and contribute to organizational success through reliable and well-governed data assets.
Course objective
- Understand core concepts, disciplines, and frameworks of enterprise data management
- Define and implement effective data governance structures, roles, and policies
- Apply data quality management practices including profiling, cleansing, and monitoring
- Develop and manage metadata and data definitions for better data consistency and usability
- Understand master data management (MDM) concepts and improve management of key data entities
- Apply data lifecycle management principles from creation to archival and disposal
- Strengthen data security, privacy, and compliance practices within data environments
- Support BI and analytics initiatives through reliable data architecture and integration practices
- Establish data management KPIs, reporting dashboards, and continuous improvement programs
Course audience
- Data managers and data governance professionals
- Business intelligence and reporting specialists
- Data analysts and data stewards
- IT and data architecture professionals
- Risk, compliance, and information security professionals
- Digital transformation and data strategy team members
- Professionals transitioning into data management roles
Course Outline | DAY 01
Data Management Foundations and Data Governance Frameworks
- Introduction to enterprise data management
- Data as a strategic asset and business enabler
- Overview of data management frameworks and disciplines
- Data governance structures, roles, and responsibilities
- Data ownership, stewardship, and accountability
- Developing data policies and standards
Course Outline | Day 02
Data Quality Management, Data Standards, and Controls
- Dimensions of data quality (accuracy, completeness, consistency, timeliness)
- Data profiling and quality assessment techniques
- Data cleansing and remediation approaches
- Establishing data standards and naming conventions
- Controls to prevent data quality issues
- Monitoring and reporting data quality KPIs
Course Outline | Day 03
Metadata Management, Data Architecture, and Data Integration
- Importance of metadata and data definitions
- Business vs. technical metadata
- Data dictionaries and data catalogs
- Overview of data architecture concepts
- Data integration methods and challenges
- Ensuring consistency across systems and platforms
Course Outline | Day 04
Master Data Management (MDM), Data Lifecycle, and Data Security
- Core concepts of master data and reference data
- MDM approaches and governance considerations
- Managing key entities such as customers, products, and vendors
- Data lifecycle management from creation to disposal
- Data retention and archival strategies
- Data security, privacy, and access control principles
Course Outline | Day 05
Data Management for BI, Reporting, KPIs, and Implementation Roadmap
- Linking data management with BI and analytics success
- Data readiness for reporting and dashboards
- Defining data management KPIs and performance measures
- Building data management dashboards and reports
- Developing a data management implementation roadmap
- Practical workshop: assessing and improving data management maturity
BOOST’s Professional Attendance Certificate “BPAC”
BPAC is always given to the delegates after completing the training course,and depends on their attendance of the program at a rate of no less than 80%,besides their active participation and engagement during the program sessions.
Since 2001, we’ve been at the forefront of professional training in the Middle East — shaping the future of learning and development one success story at a time. With a vision rooted in innovation and excellence, we help individuals, teams, and organizations reach their highest potential through integrated, future-ready training solutions. Our comprehensive programs combine global best practices with local insights, empowering people to grow, lead, and make a lasting impact in their industries.
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