Businesses in the US looking to implement schemes to improve their data quality may be interested in the latest comments from industry commentator Jim Harris.
Writing on his OCDQ blog, the expert has suggested that practitioners work to the assumption that there is "no such thing as data accuracy - there are only assumptions of data accuracy".
Accuracy, explains Mr Harris, can be defined as both the correctness of a data value within a limited context combined with the correctness of a valid data value within an extensive context.
As such, accuracy can often be defined and set in relation to a particular business objective.
"Although accuracy is only one of many dimensions of data quality, whenever we refer to data as accurate, we are referring to the ability of the data to meet specific requirements and quite often it's the ability to support making a critical business decision," he confirmed.
Meanwhile, businesses looking to improve their data quality have been advised to tackle one issue at a time, Jason Tiret, director of modeling and architecture solutions for Embarcadero Technologies claimed.
Posted by Richard Jones