Tag "Data Quality Management"

The importance of high-quality data requires constant vigilance: Dimensions of Data Quality

The second in a two-part series about monitoring data quality performance using data quality metrics.   Welcome back to part 2 of my series about the importance of high-quality data and how it requires constant vigilance. In this blog, I will look at dimensions of data quality and the validating and monitoring of data quality.... more

The importance of high-quality data requires constant vigilance

First in a two-part blog series about monitoring data quality performance using data quality metrics. Organizational data quality management is often introduced as a reaction to an acute issue or ongoing problems—issues or problems where data failure adversely affected the business. This reactive approach may be typified by a rush to identify, evaluate, and purchase... more

Why Data Quality Does Not Extend To Everyone, Everywhere Today

Welcome back to part two of my blog series on Data Quality for Everyone, Everywhere—let’s jump straight in. (If you missed Part 1, you can find it here.)  If your organization is like most, you know you have data quality issues everywhere. It’s also very likely that you’re tackling them in an ad hoc way because it’s hard to pinpoint where the problems are... more