Data Quality Advanced (EN)

287535

What is Data Quality Advanced

The importance of data is ever increasing; many organisations cannot function without it, and far-reaching decisions are made based on it.
It can be disastrous if decisions are made on the basis of incorrect or misinterpreted data.
But how do you ensure that data is of sufficient quality to support processes and decision-making? In other words: that the data is “fit for use”? And how do you implement the processes and tools required to monitor and improve data quality?
In this training, we will cover the various approaches to data quality management, and how these can be implemented.
We will also discuss prerequisites for implementation, and the types of tools available in the market.
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 management implementations.

Leveraging their practical experience and expertise, our trainers bring theoretical concepts to life. They offer a wealth of real-world insights and best practices, enriching your comprehension of data quality management.

Who should attend Data Quality Advanced

• Solution Architects and Designers of data-driven solutions (e.g., BI, advanced analytics, regulatory reporting)
• Business Analysts and Information Analysts: Individuals who rely on quality data for business decision-making.
• Data Stewards: Individuals responsible for data quality and governance within their organization.
• Data Analysts: Professionals who work with data and need to ensure its quality for accurate analysis.
• IT Managers: Professionals overseeing IT infrastructure that houses the organization’s data.
• Project Managers: Professionals who manage projects that involve large amounts of data.

Prerequisites

Knowledge of basic DQ concepts like DQ dimensions and DQ analysis types is assumed.
If you lack this knowledge, please attend the “Introduction Data Quality” 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 the training, you will be able to:

• Understand the processes and tools relevant to data quality management.
• Implement these processes and tools in an organization.
• Clarify the architecture and business concepts around data quality management.
• Understand the relationship of data quality management with other aspects of data management, such as data governance and master data management.

This training is designed to equip you with advanced skills in data quality management, making you a valuable asset in any data-driven organization.

287535

What is Data Quality Advanced

The importance of data is ever increasing; many organisations cannot function without it, and far-reaching decisions are made based on it.
It can be disastrous if decisions are made on the basis of incorrect or misinterpreted data.
But how do you ensure that data is of sufficient quality to support processes and decision-making? In other words: that the data is “fit for use”? And how do you implement the processes and tools required to monitor and improve data quality?
In this training, we will cover the various approaches to data quality management, and how these can be implemented.
We will also discuss prerequisites for implementation, and the types of tools available in the market.
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 management implementations.

Leveraging their practical experience and expertise, our trainers bring theoretical concepts to life. They offer a wealth of real-world insights and best practices, enriching your comprehension of data quality management.

Who should attend Data Quality Advanced

• Solution Architects and Designers of data-driven solutions (e.g., BI, advanced analytics, regulatory reporting)
• Business Analysts and Information Analysts: Individuals who rely on quality data for business decision-making.
• Data Stewards: Individuals responsible for data quality and governance within their organization.
• Data Analysts: Professionals who work with data and need to ensure its quality for accurate analysis.
• IT Managers: Professionals overseeing IT infrastructure that houses the organization’s data.
• Project Managers: Professionals who manage projects that involve large amounts of data.

Prerequisites

Knowledge of basic DQ concepts like DQ dimensions and DQ analysis types is assumed.
If you lack this knowledge, please attend the “Introduction Data Quality” 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 the training, you will be able to:

• Understand the processes and tools relevant to data quality management.
• Implement these processes and tools in an organization.
• Clarify the architecture and business concepts around data quality management.
• Understand the relationship of data quality management with other aspects of data management, such as data governance and master data management.

This training is designed to equip you with advanced skills in data quality management, making you a valuable asset in any data-driven organization.