How many errors do you have relative to the size of your data set?ĭivide the total number of errors by the total number of items.Įmpty values indicate information is missing from a data set.Ĭount the number of fields that are empty within a data set. What does data quality assessment look like in practice? Following are examples of metrics that typically help a company to measure data quality efforts. Otherwise, you’ll be investing time and money in a data quality strategy that may or may not be paying off. Whichever path you adopt for improving the quality of your data, however, you want to be sure that you have a way to measure the effectiveness of your efforts. There are lots of good strategies that you can use to improve the quality of your data and build data best practices into your company’s DNA. Low-quality data cannot be used effectively to do the thing with it that you wish to do. Keep reading for a look at the types of data and metrics that organizations can use to measure data quality.ĭata quality refers to the ability of a set of data to serve an intended purpose. To measure data quality – and track the effectiveness of data quality improvement efforts – you need, well, data.
High availability and disaster recovery.Security Information and Event Management.
