This quick guide provides an overview of the basic concepts in fault tree analysis technique, as it applies to data quality. For some more well-known and useful root cause analysis techniques, please check out the: 5 whys analysis Fishbone diagram Barrier analysis Pareto analysis Definition
Fixing data quality issues is only part of the solution. In order for these not to reoccur, one needs to identify the root cause and prevent from further creating poor data quality. As we know, for every effect there is a cause, and that’s the
In the data quality line of work it is very rewarding to get to the root cause of the issue and fixing it, along with the data. More often than not, there are long lists of data quality issues to resolve, but how do you quickly
The importance of identifying and addressing the root cause of a data quality issue should never be overlooked. In this series of articles I will cover the most important techniques which help you uncover the root cause. This week will focus on the 5 whys, root
As part of a sustainable data quality program, you need to identify the issues of your bad data. Otherwise you will keep spinning your wheels and using your resources to constantly correct the issue, but never addressing the cause(s). There are many data quality root
Data is an enterprise asset, enabling the organization to make informed decisions. In order to secure data’s position as a highly valuable asset, the organization needs to implement a data quality management program. This will achieve and sustain a high level of quality for the