Metadata management is not a new concept. However, it is gaining new adherents as we recognize the value of enterprise data governance. We may have hampered in the past the success of metadata projects because of misguided attention on how to deploy metadata tools and the population of the repository.
Metadata is data about informational aspects of other data. Metadata allows for the easy retrieval, management, and use of data. We can collect it for any type of data and it can relate to any informational aspect of data, such as its origin, location, format, or quality.
Metadata management enables organizations to better understand and utilize their data assets. With accurate and consistent metadata, organizations can ensure data integrity, facilitate data discovery, and improve data quality. Additionally, metadata supports compliance and enhances data collaboration across teams.
Implementing metadata management effectively requires overcoming several challenges. These include ensuring data accuracy, maintaining consistency, and integrating metadata across disparate systems. Organizations must also address the need for ongoing governance to keep metadata up-to-date and aligned with evolving business needs.
Read the 13-page whitepaper “Make the Most of Your Metadata” by David Loshin to learn more about considerations for collaborating on metadata within and across an organization.
First, the whitepaper considers how the organic and distributed evolution of the enterprise application ecosystem has allowed inconsistencies to be introduced that create challenges, as we repurpose the data sets from those applications for reporting and analytics.
Next, we raise the question of the value of metadata management, suggesting that a strategy for metadata management and use must direct the activities for metadata discovery and capture.
