Data quality problems all, at their root, involve some form of human error. Whilst this is easy to say, it is perhaps harder to identify and resolve the causes of these human errors. In this blog post, I will explore
Garbage In, Gospel Out
Most people should be familiar with the old adage “Garbage In, Garbage Out” intended to remind people that if your input data is poor, then any outputs will also be poor. There is a variant of this that cropped up
More than just good governance: Who is actually managing your data?
You may have good governance practises and robust data management processes in place but who is actually keeping your data updated; or in some cases not? Whilst most organisations agree that having a data quality framework in place is the