Only 3% of Companies’ Data Meets Basic Quality Standards

Most managers know, anecdotally at least, that poor quality data is troublesome. Again, they lag behind what techies have know from day one, it's all about data and accuracy. Garbage in, garbage out.

Bad data wastes time, increases costs, weakens decision making, angers customers, and makes it more difficult to execute any sort of data strategy. Indeed, data has a credibility problem.

Still, few managers have hard evidence or any real appreciation for the impact of bad data on their teams and departments. They are thus unable to give data quality its due.  They don't get it, won't invest in it. If you can't measure it, you can't change it.

This is the primary reason I got out of metadata management (no one is doing it) with it's primary focus to improve data quality and tractability/data lineage and data providence.

From https://hbr.org/2017/09/sgc-publish-the-week-of-911-new-research-only-3-of-companies-have-acceptable-quality-data