Defining Data Quality

Good set of definitions it is worth considering.

" .. To tackle any problem in a systematic and effective way, you must be able to break it down into parts. After all, understanding the problem is the first step to finding the solution.  From there, you can develop a strategic battle plan.

When starting a data quality improvement program, it’s not enough to count the amount of records that are incorrect, or duplicated, in your database. Quantity only goes so far. You also need to know what kind of errors exist to allocate the correct resource.

In this interesting blog by Jim Barker, the different types of data quality are broken down into two parts. In this article, we’ll look closely at defining these ‘types’, and how we can use this to our advantage when developing a budget. ... "