Data Management Professional Certification

Course Overview

In the digital age, data is king. Data is increasingly seen as a corporate asset that can be used to make more-informed business decisions, improve marketing campaigns, optimise business operations, and reduce costs, all with the goal of increasing revenue and profits. Hence, it would follow if the data is precise, complete, coordinated, and predictable. It will contribute to the expansion of the organisation and, in case of the opposite, would become an excessively big liability; bad data organisation can lead to making harmful decisions because of incomplete information.

This 5-day interactive Data Management Professional Certification training course is a path to sustained and enhanced global employment opportunities over the next decade; it will remain relevant to the economy, and professionals must participate in ongoing professional development. Thus, it will provide the participants with knowledge, skills, and experience in the DAMA field; it also gives data management professionals the opportunity to show professional growth that can enhance their personal and career goals.

Course Objectives

This training course provides a solid foundation across the entire Information Management spectrum.

After the training course, the participants will learn to:

• Understand the importunate and application of “information management professionalism”
• Learn the professional management techniques to address business challenges
• Explore the Data Management and architecture frameworks
• Recognise the vital roles of Master Data Management and Data Governance
• Apply the best practices for managing Enterprise Information professionally needs

Target Audience

This training course is essential for everyone who needs to be capable, knowledgeable, and an expert in his field. It suits various professionals in Information Management, Data Governance, Master Data Management and Data Quality initiatives.

It is suitable for a wide range of working professionals, including (but not limited to) the following:

• Data Analyst
• Database Administrators
• Data Governance Managers
• Data Quality Managers
• Information Managers & Architects
• Business Analysts
• Executives Management
• Technology Leaders
• Software Engineers
• Any Professional involved in Data Analytics

Training Methodology

The participants will be taught learning techniques that ensure maximum understanding, comprehension, and retention of the information presented. The training methods will vary depending on their needs, from front-end to blended learning. It is divided through Information receiving, participation, and Learning by Doing to provide the highest level of apprehension and retention of the presented material. They will be working on case studies and doing a hands-on project, and at the end of the training course, they will be assessed to determine the level of knowledge they have retained.