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. Although the technical dimensions of data quality control are usually addressed by engineers, there should be a plan for enforcing best practices related to data quality throughout the organization.
After all, virtually every employee comes into contact with data in one form or another these days. Data quality is everyone’s responsibility.
Assessing data quality on an ongoing basis is necessary to know how well the organization is doing at maximizing data quality. Otherwise, you’ll be investing time and money in a data quality strategy that may or may not be paying off.
To measure data quality – and track the effectiveness of data quality improvement efforts – you need, well, data. What does data quality assessment look like in practice? There are a variety of data and metrics that organizations can use to measure data quality. We’ll review of few of them here.
