Webinar Data Quality Management

Webinar Data Quality Management

Thank you for joining our webinar ‘How to get a grip on data quality?’.

If you would like to learn more on how we can help you:

  • master your data,
  • automate data validation,
  • and continuously monitor and improve your data,

Scroll down to watch the video and to download the presentation of the webinar.

Download presentation

How to get a grip on data quality?

Data quality management is one of those concepts that is hard to define and hard to put into practice.

That is why Jack de Hamer, data management specialist at Type 2 Solutions, has put together a simple 5-step guide with everyday examples to help clarify what data means and how to get a grip on its quality.

De Hamer observes that businesses often do not know where to start when it comes to data quality optimization. “A one-time cleansing exercise for a specific purpose is not a solution. There are more benefits to a long-term solution.”

Download the presentation and learn how to start with data quality today!

Real-world examples: Eichholtz, Dijklander Hospital and DELTA Fiber

Click on one of the images to read more about one of the data management projects for our clients Eichholtz, Dijklander Hospital and DELTA Fiber.

Data Quality Monitor

Would you like to start monitoring data quality within your organization?

Optimizing and maintaining data quality requires two things: a good plan and discipline.

Our data specialists help you on your way with the Data Quality Scan and use our 5-step plan for data quality.

We present the results of the scan using the Data Quality Dashboard. The fast and easy tool that tracks the quality of your data.

The data quality scan offers you a future-proof plan for cleaning up and maintaining your data quality.

We will show you that a continuous focus on data quality can increase your results and give you a strategic advantage.

The results of Eichholtz using the data quality monitor.


Watch the video of the webinar about data quality optimization:

5-Steps towards optimal data quality within your organization.