• Introduction Data Quality (NL)

  • Group Training

    What characteristics must data have to prevent the collection of erroneous data or misinterpretation? This is the subject of this training.

    Training code
    CGADAQUACD
    Spoken Language
    Dutch
    Language Materials
    English
    Dayparts
    2
    Price
    €750,00
    excl. VAT No extra costs.

    Book Introduction Data Quality (NL) now

    In group training, we use several learning methods to help you obtain the knowledge, give you helpful insights and get you inspired. Check the Spoken language and Language materials on the left for language info.

    • 14-4-2023
      Utrecht
      €750,00
      €750,00
    • 9-10-2023
      Utrecht
      €750,00
      €750,00
    Introduction Data Quality (NL)
    10
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    What is Introductie Data Quality

    The importance of data is ever increasing; many organizations cannot function without it, and far-reaching decisions are made based on it.
    It can be disastrous if decisions are made based on incorrect or misinterpreted data.
    Which characteristics define whether data is of sufficient quality to support processes and decision-making? In other words: when is the data “fit for use”? How can these characteristics be measured?
    In this training, we will cover the various aspects of data quality, the methods that can be used to measure it, and the ways to present these measurements.
    We will also discuss the main benefits and costs related to managing data quality.
    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 DQ Management. They know how it’s applied in practice and can therefore share “real-life” examples of data quality issues and the ways these were resolved.

     
     

    Who should attend Introductie Data Quality

    This training is intended for:

    • Solution architects and designers of data-driven solutions (e.g., BI, advanced analytics, regulatory reporting)
    • Business and information analysts in data-driven organizations
    • Data stewards
    • BI & Analytics consultants

    No specific prior education is required.

    Prerequisites

    No specific prior education is required.

    Objectives

    After this training, you will be familiar with the various forms of data quality, and of the business and IT views on it.
    You will be able to recognize the impact of low data quality on (business) processes and have a basic understanding of the methods available to measure and improve data quality.

     
    Incompany

    What characteristics must data have to prevent the collection of erroneous data or misinterpretation? This is the subject of this training.

    Training code
    CGADAQUACD
    Spoken Language
    Dutch
    Language Materials
    English
    Dayparts
    2
    Price
    €750,00
    excl. VAT No extra costs.

    With an Incompany training you have several advantages:

    - You choose the location
    - You experience the training with your colleagues, so it is always in line with your practice
    - The trainer can tailor explanations, examples and assignments to your organization
    - In consultation exercises can be adapted to organization-specific questions

    Request more information or a quote.

    Introduction Data Quality (NL)
    10
    7.7
    0
    10 reviews
     

    What is Introductie Data Quality

    The importance of data is ever increasing; many organizations cannot function without it, and far-reaching decisions are made based on it.
    It can be disastrous if decisions are made based on incorrect or misinterpreted data.
    Which characteristics define whether data is of sufficient quality to support processes and decision-making? In other words: when is the data “fit for use”? How can these characteristics be measured?
    In this training, we will cover the various aspects of data quality, the methods that can be used to measure it, and the ways to present these measurements.
    We will also discuss the main benefits and costs related to managing data quality.
    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 DQ Management. They know how it’s applied in practice and can therefore share “real-life” examples of data quality issues and the ways these were resolved.

     
     

    Who should attend Introductie Data Quality

    This training is intended for:

    • Solution architects and designers of data-driven solutions (e.g., BI, advanced analytics, regulatory reporting)
    • Business and information analysts in data-driven organizations
    • Data stewards
    • BI & Analytics consultants

    No specific prior education is required.

    Prerequisites

    No specific prior education is required.

    Objectives

    After this training, you will be familiar with the various forms of data quality, and of the business and IT views on it.
    You will be able to recognize the impact of low data quality on (business) processes and have a basic understanding of the methods available to measure and improve data quality.

     
  • Related

    Fields of Expertise
    Data Analytics
     
  • e-CF competences with this course

     

    At Capgemini Academy we believe in transparency and clarity in the training landscape. That is why, in the table below, we show you to which e-CF competence this training or certification contributes. For more information about how to use the e-Competence Framework read more here. If you want to know how you can apply the e-CF within your organization, read more on this page.

    e-Competence Level12345
    B.1.Application Development     
    D.10.Information and Knowledge Management