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TimeXtender Data Quality Best Practices (3/3)


Christian Hauggaard
Community Manager
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Chapter 3 of 3 describes best practices when implementing TimeXtender Data Quality. Specifically, the importance of a disciplined workflow in TimeXtender Data Quality.

Importance of disciplined workflow

For clarity and efficiency, it is important to maintain disciplined workflows in TimeXtender Data Quality. Following the previous guidelines form the basis for and enhances the quality of workflows in TimeXtender Data Quality.

Repeating the below cycle, alongside quality training will help build up a culture of quality work around continuous monitoring and exception management. See figure 1.

Disciplined actions, such as always attaching a comment/explanation to every case that is defined as "not-an-exception", are vital. The case handler must understand the actual result of marking an exception as "not-an-exception". This means you are silencing and hiding an exception and that you have to understand what that means to the respective process and why. Other actions may include disciplined methods to work with lists of assigned exceptions, to actually attack them as to-do lists or back-log that is important to handle as soon as possible.

Experience with other TimeXtender Data Quality customers shows that we often experience a growing culture of proactively implementing different checks when producing new processes and services. People are more likely to proactively check their own work, resulting in a more proactive and preventive culture.

This process also enhances the visibility of internal processes. A process-wide perspective now allows people to draw, discuss and internalize process maps with confidence. As a result, it is now easier to distinguish responsibilities and visibility throughout the process of understanding failures.

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