metadata

Data-driven organizations are increasingly struggling with the limitations of passive metadata practices. These traditional approaches quickly become outdated, leading to inaccurate insights and poor decision-making. Passive metadata often remains siloed, making it challenging to integrate and understand relationships between datasets. As a result, organizations face significant hurdles in achieving data agility -- the ability to adapt how information is interpreted and rapidly acted upon.

Active metadata management solves these challenges by providing a dynamic, intelligent layer that enables businesses to improve their decision-making processes and maintain a competitive edge in an increasingly data-centric environment.

It’s no exaggeration to say that data drives business today. Organizations are literally flooded with data on all fronts, particularly as they accelerate their digital transformation and cloud migration. As data proliferates, it’s increasingly difficult to manage. That’s where metadata comes in. Though metadata is often described as "data about data," it’s actually much more than that.

Metadata is generated whenever data is ingested, accessed by users, moved around an organization, integrated or augmented with data from other sources, profiled or cleaned and analyzed. All this information creates the context for other data elements, providing a complete picture of the data. This holistic view makes it possible to organize and locate data, to understand what it means and to maximize its value.