Courses Finder :
Course Overview
In today’s digital economy, data has become one of the most valuable organizational assets. It enables evidence-based decision-making, enhances marketing strategies, optimizes business operations, reduces costs, and ultimately contributes to revenue growth and profitability. However, data can only serve as a strategic asset if it is accurate, consistent, integrated, and reliable. Poorly managed data, on the other hand, becomes a liability that can lead to misguided decisions and significant organizational risks.
To remain competitive in the modern economy, professionals must continuously upgrade their skills. The Data Management Professional Training Course offers participants a comprehensive pathway to develop expertise in line with global standards and emerging best practices. It provides knowledge, practical skills, and industry insights based on recognized frameworks such as DAMA, supporting both professional development and organizational advancement.
Course Objectives
Upon successful completion of this course, participants will be able to:
Understand the importance and professional application of information management.
Apply advanced techniques to address organizational data challenges.
Explore data management and enterprise architecture frameworks.
Recognize the critical roles of Master Data Management (MDM) and Data Governance.
Implement best practices for managing enterprise-wide information requirements.
Course Audience
This course is designed for professionals engaged in information management and data-related roles, including but not limited to:
Data Analysts
Database Administrators
Information Managers & Enterprise Architects
Data Governance and Data Quality Managers
Business Analysts and Executives
Technology Leaders and Software Engineers
Professionals involved in Data Analytics and Business Intelligence
Course Methodology
The course employs a highly interactive learning approach, incorporating:
Facilitated discussions and collaborative group work.
Case study analysis and problem-solving exercises.
Practical workshops and participant presentations.
Supporting video resources and real-world examples.
Comprehensive training materials, including notes and applied examples.
This blended methodology ensures in-depth comprehension, practical skill development, and retention of knowledge.
Course Outline
Day One
The Data Management Process and Certification Overview
Introduction to data management as a discipline.
Purpose, scope, and framework of DAMA International Data Management.
Drivers, benefits, and common pitfalls of data management.
Enterprise Data Management Framework and key functions.
Certification requirements and exam structure.
Day Two
Data Governance and Data Quality Management
Strategic role of data governance.
Data ethics, compliance, and regulatory considerations.
Dimensions and policies of data quality.
Linking data quality to other data disciplines.
Leveraging reference and master data for consistency.
Day Three
Data Warehousing, Business Intelligence, Modeling, and Metadata Management
Principles of data warehousing and BI platforms.
Fundamentals of Big Data.
Data modeling techniques and applications.
Understanding and applying metadata in practice.
Day Four
Data Architecture, Lifecycle, and Security Management
Types of data architecture and planning methodologies.
Data value chain and lifecycle management.
Differences between lifecycles and systems development.
Objectives and key practices in data security management.
Risk assessment, monitoring, and mitigation strategies.
Document and content management frameworks.
Day Five
Data Storage, Operations, Integration, and Interoperability
Principles of effective data storage and operations management.
Data technology management and operational roles.
Data integration, interoperability practices, and best-fit solutions.
Data interchange, replication, and synchronization methods.
Aligning integration within governance and enterprise-wide strategies.
Certificates
On successful completion of this training course, HighPoint Certificate will be awarded to the delegates. Continuing Professional Education credits (CPE): In accordance with the standards of the National Registry of CPE Sponsors, one CPE credit is granted per 50 minutes of attendance.