Ensuring data quality is an important aspect of data management and these days. DBAs are increasingly being called upon to deal with the quality of the data in their database systems more than ever ...

Ensuring data quality is a big part of regulatory compliance. Its importance cannot be understated. Poor data quality costs the typical company at least 10% of revenue, and 20% is probably a better ...

You, as a decision maker or implementer, are frequently bombarded with the message that the data in your organization is its lifeblood. In the modern digital age, that data has immense value to your ...

In 2021, Gartner dropped Metadata Management from their Magic Quadrant, replacing it with a Market Guide for Active Metadata Management. On the surface, this may seem like a minor change, but in ...

Metadata management has become the practical dividing line between AI systems that scale and those that stall. As organizations push AI from experimentation into sustained production, the limiting ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...