How-To Master Data

Overview

The How-to Master Data Course covers all the Reference and Master Data aspects contained in the DMBOK V2 in detail, providing techniques for all the activities and templates for all the deliverables and in some cases the inputs.

This course is valuable for all Data Management Professionals as it is foundational and for anyone wanting to take the CDMP Reference and master Data Specialist exam.

It starts where all Master and Reference Data initiatives should start, with the business requirements.  It then follows the process of considering the architecture, the data models, and the evaluation of the data sources. 

Solution development is covered next, where obtaining the master data and the subsequent sharing brings it to a conclusion. 

Course Duration: 5 days online

Course Investment: International USD 1230 / Local ZAR 15400 (Incl. VAT)

Format: Lecture, group work, exercises, case study

Classroom Materials: Workbook/Textbook

Delivery: CDMP® Practitioner Consultant

Class Size: 10 to 12 participants

Prerequisites: No experience necessary

master data training

Our objectives of the course are to provide you with:

  1. Capacity to integrate knowledge of master/reference data management aspects

    1. Understand the R/MDM drivers

    2. Define the Architectural Approach

    3. Design Data Model and Processes

    4. Evaluate Data Sources

    5. Develop R/MDM Solution

    6. Acquire appropriate sources

    7. Share the Master and/or Reference Data

  2. Understanding to go from the high-level principles, activities, deliverables and metrics in the DMBoK into practical, in-context insights. 

    1. You will receive a Playbook to help you in your own journey in the future

    2. Hands-on exercises as we go through the content together

    3. A case study to help cement what you’ve learnt in small groups

  3. An appreciation of the importance of seeing R/MDM as an approach to ultimately solving business problems

    1. People – Data Stewardship styles and target operating models

    2. Processes – business, technical, stewardship

    3. Technology – the various components of an MDM solution

The course outcomes are:

  1. Remember all details of the Reference and Master Data knowledge area

  2. Understand all elements of the Reference and Master Data knowledge area

  3. Apply knowledge area rules, concepts and activities

  4. Analyse own Reference and Master Data practice definition

    1. Define

    2. Operationalise

    3. Assure

  5. Evaluate a Reference and Master Data establishment

Who should attend?

  • All Data Professionals

  • Anyone wishing to write the CDMP Reference & Master Data Specialist exam

The DMBOK chapters examined in the CDMP Reference & Master Data Specialist Exam are: 

10. Reference & Master Data

For bookings (individual and/or team) and more information, please click the button to contact us!