Boost
Boost

Certified Data Management Professional (CDMP)

DIGTR-2455

Course Code

5 Days

Duration

4

Upcoming Dates

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Sector Name

Digital Transformation and Innovation

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09 Nov 2026 | 13 Nov 2026
Dubai, UAE
$4,250
Limited Seats
15 Mar 2027 | 19 Mar 2027
London, England
$4,950
Upcoming
07 Jun 2027 | 11 Jun 2027
Abu Dhabi, UAE
$4,250
Upcoming
06 Sept 2027 | 10 Sept 2027
Dubai, UAE
$4,250
Upcoming

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 Objectives

  •  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
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