Implementing Reference & Master Data

Are you involved in a Reference and Master Data project?
Do you know where to start?
Are you struggling to identify the Data sources?
Do you have any idea of the Data Quality in your sources?
Are you aware of the risks & challenges that could derail the project?

This Course will prepare you to deliver a successful Master Data Management Solution to achieve Business Objectives.

• An introduction to Data Management, within the context of Reference and Master Data
• Reference and Master Data – the theory according to DAMA DMBoK
• Applying Data Architecture and Data Modeling techniques to your Master Data implementation
• How you Master Data Management Implementation needs all Data Management Disciplines
• Develop an approach and process to suit your specific Master Data Requirements
• Some practical real-life experience
• An overview of the technology to assist you, including AI, what the tools can do, and some of the products available.

In addition, the Course is aligned to DAMA DMBoK and will help you prepare to write the DAMA CDMP exam and receive your Reference & Master Data Specialist Certification.

After attending this course, you will be able to:

• Identify the requirements for implementing an MDM Solution
• Identify, understand, and manage the risks of implementing an MDM solution
• Identify and define the Architecture, Data Modeling, Data Storage, and Integration aspects of implementing MDM
• Identify and implement the processes to resolve Data Quality Issues
• Define and implement an Integration Process with the appropriate Audit Controls
• Register to write the DAMA CDMP Reference & Master Data Specialist Certification Exam.

Implementing an MDM system can be a game changer for organisations. However, you need to be clear on what the business aims to achieve with the MDM solution.

* A certificate of attendance will be provided on completion of the course

This course deals with the Metadata aspect of all Data Projects, and will be of interest to:

• Data Architects
• Data Stewards
• Business Analysts
• Data Analysts
• Developers
• DBAs
• BI Analys