We talk a lot about metadata – its uses, benefits and role. Metadata often provides the key for businesses when integrating multiple software applications to determine how data from multiple systems relate to each other. Formtek brought this interesting topic to us in their blog post, “Metadata: Fuel that Powers System Integrations and AI Context Recognition.”
Metadata is also increasingly important when it comes to artificial intelligence (AI) and machine learning algorithms to be able to recognize context and be more accurate in producing analytics and recommendations.
When it comes to managing metadata, there are a set of activities, which administer data for better usage and outcomes. This is known as metadata management and it works alongside data governance – a well-planned, systematic exercise to put the right controls to administer and manage enterprise data.
Metadata management can be crucial to the success of big data analytics. The presence of metadata in vast amounts of semi-structured or unstructured data can make it easy for a user to quickly sift through irrelevant information and locate exactly what is needed.
Metadata management can also help apply consistent business rules to enterprise data bringing more clarity, consistency, and transparency to critical business information.
Melody K. Smith
Sponsored by Data Harmony, a unit of Access Innovations, the world leader in indexing and making content findable.
