Business glossaries host business terms. Data catalogs host data elements. But what are the differences between these two artifacts? It all depends on the types of metadata you are collecting.
Now, companies are taking a great first step when they become proactive with their data quality practices, but there is always room for improvement.
Enterprises around the world have been generating data at enormous rates, but they rarely use it to its fullest potential. Analytics for multi-million dollar business insights, successful artificial intelligence projects and compliance to high-risk federal regulations all hang from a common thread: high-quality data.
With most data governance initiatives, companies focus on making sure their data assets are findable and trustable. But they frequently neglect an equally important aspect of their data: its clearness.
As digital initiatives start to show some real business results, a common theme emerges. For all digital efforts, data is the underlying raw material. And it’s time to get your data under control.
When handled correctly, data can be an organization’s most important resource. Data governance can help build a complete picture from the scattered pieces of the puzzle.
