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Master data governance in practice

We give you tools to make sure that data management is done in a timely and efficient manner, so that high-quality data can be used at the right time in the right place.

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The organisation is looking for ways to manage master data, because it often seems difficult to understand and implement, with all its facets. Business and IT speak different languages around data, and the measures taken to manage master data do not meet business needs.

Why choose Loihde training?

Loihde has implemented and developed data related trainings since 2012, targeting IT experts, data experts and all business experts interested in data. Information management trainings are based on Loihde's data management framework and can be tailored to the needs of different organizations and industries. Practical trainings and participatory methods are suitable for different organizational levels and are suitable for both local and remote training.​    

How can we help? 

The training provides a comprehensive basic understanding of Master Data and the aspects related to its management, such as data quality management, data management model (Data Governance), business benefits and data architecture.

During the two training days, in addition to basic concepts and theories, tools for starting and developing Master Data Management will be covered in a practical and understandable way. 

Practical examples will be used to explain what the different aspects of Master Data Management mean and what they contribute to.

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The training will cover the following sections:

PART 1:
What is master data and master data management

PART 2:
MDM business benefits

PART 3:
Data models, standards and rules 


PART 4:
Master Data lifecycle and data management processes

PART 5:
Master Data Governance 


PART 6:
Master data management systems and architectural approaches

PART 7:
Measuring and improving master data quality

As a result of the training, the participant will:

 

  • Understands the concepts of Master Data ​

  • Can build or further develop Master Data management

  • Know how to build a Master Data management process

  • Understands the importance of data quality 

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