Course : Master Data Management: Data governance

Synthesis course - 2d - 14h00 - Ref. CYE
Price : 2020 € E.T.

Master Data Management: Data governance



Required course



INTER
IN-HOUSE
CUSTOM

Synthesis course in person or remote class
Disponible en anglais, à la demande

Ref. CYE
  2d - 14h00
2020 € E.T.






Teaching objectives
At the end of the training, the participant will be able to:
Understand the strategic role of data management for the company
Understand the principles of data architecture
Set up a governance method.
Integrate master data management into the approach
Know how to identify MDM players and their positioning.

Course schedule

1
Introduction

  • Data strategy challenges for businesses.
  • Defining the notions “Data” and “Information”.
  • Different data categories for a company.
  • Different data usage formats.
Storyboarding workshops
Discussions on the strategic role of data for a business.

2
Data governance

  • Definition of data governance. Tactical and strategic challenges.
  • Overview of the DAMA "Body of Knowledge".
  • Players and new professions in data management.
  • Measurement tools for evaluating the maturity of a company's data.
  • The main principles of the data governance approach.
  • State-of-the-art reference tools.
Storyboarding workshops
Ranking governance actions defined in DMBoK. Defining the data governance action plan based on a case study.

3
Master data management

  • Positioning of master data management in the company's information system.
  • The essential steps of the master data management approach.
  • Overview of master data management architecture types.
  • Designing and administering master data.
  • Summary of best practices.
  • The role of users in the MDM system.
  • Overview of the deployment of an MDM solution.
Group discussion
Simulated workshop to analyze needs for each business line and define shared master data.

4
Forms of data

  • From relational to big data.
  • Concept of a data lake. Coexistence of traditional technologies and Hadoop.
  • Denormalization of data.
  • Data for descriptive and predictive analysis.
Storyboarding workshops
Discussions on the "data strategy” for the company’s decision-making.

5
To go further

  • The data-driven approach.
  • Software on the market.
  • Taking the plunge so that the data architecture supports the business strategy.
  • Data quality management: Assessment, control, and maintenance. Tools.
  • Legislative context: Personal data protection, obligations, retention.
Storyboarding workshops
Discussions of possible approach strategies based on context.


Customer reviews
4 / 5
Customer reviews are based on end-of-course evaluations. The score is calculated from all evaluations within the past year. Only reviews with a textual comment are displayed.
ESTHER L.
08/09/26
5 / 5

It’s very interesting; the real-life examples of companies we’re familiar with in our day-to-day lives shed light on their effectiveness and excellence. The trainer takes the time to answer questions thoroughly and listens carefully, which is extremely much appreciated. The fact that we’re given short exercises to work on is a great way to help us develop our thinking and improve in our profession,
VILLENEUVE JEAN D.
08/09/26
5 / 5

Very good overall.
BENOIT H.
08/09/26
5 / 5

Very interesting content. It opens up quite a few new perspectives in the context of my work.



Publication date : 07/01/2024



This programme is an original creation, developed by the teaching teams at ORSYS Formation. Any reproduction, representation, adaptation or use, in whole or in part, without the prior written authorisation of ORSYS, is strictly prohibited. ORSYS reserves the right to take any action necessary to protect its intellectual property rights.


This programme is an original creation, developed by the teaching teams at ORSYS Formation. Any reproduction, representation, adaptation or use, in whole or in part, without the prior written authorisation of ORSYS, is strictly prohibited. ORSYS reserves the right to take any action necessary to protect its intellectual property rights.