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This training covers master and reference data management solution options, and how these can be implemented.

Spoken language
Dutch
Language material
English
Half-days
1
Data

Master Data Management & Reference Data Management Advanced (NL)

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What is Master Data Management & Reference Data Management Advanced

Process integration, regulatory reporting, management information, marketing analyses, advanced analytics: they all rely on high quality master and reference data.

But what are master and reference data? And how can these be managed to ensure optimal value for the organization?

In this training, we will cover the high-level solutions for master data management and how these can be implemented.

We will also discuss prerequisites for implementation (including dependencies with other aspects of data management) and the types of tools available in the market.

Finally, we will cover where solutions for reference data management differ, and how this impacts their implementation.

During the training, the application of what you learn is central and you are challenged to work with the theory in practical cases.

The training is given by people with an extensive background in Master and Reference Data Management. They know how it’s applied in practice. They can therefore share “real-life” examples of master and reference data management issues and the ways these were resolved.


Who should attend Master Data Management & Reference Data Management Advanced

This training is intended for:

  • Solution architects and designers of master/reference data management solutions,
  • Data Quality consultants dealing with master/reference data,
  • Data stewards dealing with master/reference data.

All of those with basic knowledge of master and reference data management.


Prerequisites

Knowledge of basic concepts like the definitions of master and reference data, and where these differ from transaction/activity data is assumed.

If you lack this knowledge, please attend the “Introduction to Master and Reference Data Management” training first.

If you’re not sure, please contact us, and we will get a trainer to contact you and discuss.


Objectives

At the end of this training, the participant understands the processes and tools relevant to data master and reference data management, and how these should be implemented in an organization.

The training aims to clarify the architecture and business concepts around these topics. Attention is also paid to the relationship of master and reference data management with other aspects of data management, such as data governance metadata and data quality.

This training is not focused on a specific MDM-solution or MDM-technology. It is primarily intended to gain insight into the solution directions and the implementation roadmap, and discuss potential pitfalls.


Classroom, online, blended and in-company

At Capgemini Academy you learn in the way that suits you. Do you prefer classroom training, online or a combination of the two (blended)? You can follow most training courses in-company: within your own organization. We use a variety of tools to make learning even more fun and effective. Consider videos, games, quizzes, webinars and case studies, for example. And you can always contact your trainer with any questions.

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In-company training courses

With an in-company training you have several advantages:

  • You choose the location.
  • You train with your colleagues, ensuring it aligns with your practice.
  • The trainer tailors explanations, examples and assignments to your organization.
  • In consultation, exercises can be adapted to organization-specific questions.

Request more information or a quote.

Why Capgemini Academy?

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    Part of one of the largest, most innovative IT service providers worldwide.
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    Large training offer: both fully online and available in class.
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    Most training courses include certification and exam.
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    Trainers with passion, didactic skills and a good dose of practical experience as an IT professional.
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    Our students rate our training courses with an average of 8.8.