The British Academy for Training and Development offers the Certified Data Management Professional (CDMP) - Virtual Learning Training Course. The course examines various issues dealing with Data Management Basics, Data Governance core principles with good practices, In that area, attendees will understand in-depth Data Governance and Quality to manage data concerning the organisational standards. Newly added in the course are Data Architecture and Data Modeling, which emphasize strongly structural and organisational issues of data management. Attendees will also explore the processes of Data Integration and Interoperability, which allow seamless data flow across systems. Another area discussed in this course is Master Data Management (MDM), which defines how to manage critical business data across different systems. The closely allied subject is Metadata Management, which helps organise and utilise data better.

Data Security and Privacy is another focus area, giving an insight into the protection of sensitive data and the regulations that are to be accommodated. Finally, the course will touch upon Data Analytics and Business Intelligence in terms of the opportunities for data to contribute better informed decisions. 

By the end of this course, attendees are conscious of implementing data management strategies in any organisation.

Objective:

The objective of Certified Data Management Professional (CDMP) training course are:

To offer strong knowledge of Data Management principles and practices. To provide the concepts of Data Governance, Data Quality, Data Architecture, and Data Security. To enable attendees to apply Data Integration, Master Data Management, and Metadata Management effectively. To develop expertise in Data Analytics and Business Intelligence to enhance organisational decision-making. Understand all elements of the DMBoK areas, including: Goals and Principles, Organisation and Culture, Activities, Deliverables, Practices and Techniques, Technology, and Roles and Responsibilities.Prepare for the CDMP Data Management Fundamentals examination.Who Should Attend?

This training is designed for:

Data professionals, Data Analyst, Data Scientist, and Data Engineer.IT managers, business analysts, and decision-makers who want to improve their data handling processes.Those who want to enhance their qualification and knowledge in Data Management and related fields.Organisations that want to train their employees in the modern Data Governance, Analytics, and Security practices.How will attendees benefit?

By completing this course attendees will gain numerous benefits:

Comprehensive Skill Development: The course looks much deeper into the principles of Data Management, instilling in attendees the application of best practices in Data Governance, Data Quality, and Data Architecture. Practical Knowledge for Real-Life Work: This course teaches practical techniques on Data Integration, Master Data Management, and Metadata Management that can be directly applied in improving an organisation's data systems and workflows.Better Career Opportunities: The completion of the CDMP will enhance participant credentials, opening up avenues for advanced roles in Data Management, Analytics, and Business Intelligence. Be Aware of the Trends: Attendees will take a step ahead with an understanding of current trends and technologies in Data Security, Privacy, and Data Analytics, which has become imperative for sustenance in today's data-driven environment. Start Working with Data: The attendees will learn to derive meaning from data and use that in making strategic decisions to boost efficiency and expansion within their organisations. Networking Opportunities: The entire programme creates a motivational space and brings together like-minded professionals to build a network, which will be critical in moving forward with their careers and collaboration on data management projects.Market Recognition: Receiving a CDMP will confer recognition with industry leaders to validate an attendee's expertise in managing and optimizing data systems across different organisational contexts.

Introduction to Data Management

• Overview of Data Management

• Key principles and frameworks in Data Management

• Understanding the role of data in modern organizations

Data Governance and Quality

• Data Governance Framework

• Ensuring data accuracy, completeness, and consistency

• Implementing data quality management systems

Data Architecture

• Fundamentals of Data Architecture

• Designing scalable and effective data systems

• Tools and techniques for Data Architecture

Data Modeling

• Importance of Data Modeling in management

• Types of Data Models: Conceptual, Logical, and Physical

• Best practices for Data Modeling

Data Integration and Interoperability

• Integration of different data sources

• Managing data flow across systems

• Ensuring system interoperability

Master Data Management (MDM)

• Overview of MDM concepts

• Centralized vs. decentralized MDM

• Implementing MDM strategies

Metadata Management

• Importance of Metadata in Data Management

• Techniques for effective Metadata management

• Using Metadata to improve data governance

Data Security and Privacy

• Protecting sensitive data

• Data security regulations and compliance (GDPR, CCPA)

• Techniques to secure data assets

Data Analytics and Business Intelligence

• Leveraging data for strategic decision-making

• Tools for Business Intelligence (BI)

• Introduction to data analytics in the business context