How to implement an effective metadata strategy
Posted: Sat Feb 01, 2025 5:01 am
Discover how to drive data management towards continuous improvement thanks to a metadata strategy that combines attack and defense.
Many organizations do not have effective strategies and tools to leverage metadata . And that is a mistake that results in more than half of an organization's structured data not being used to improve decision making and 99% of unstructured data not being used at all.
Metadata: defense or attack?
Metadata is not new, but as the volumes and varieties of data have grown, it has become more important.
For many, metadata is the linchpin of the data realm . It tells colombia number dataset what data exists, what it means, where it came from, and whether or not it is accurate. Metadata provides an understanding of how and where data can be accessed, and how information of different types and disparate sources can work together.
However, as its exploitation becomes more normalized, a concern is growing among those responsible for managing information: could proprietary metadata solutions lock away the keys to the data?
With the emergence of data lakes, the rise of self-service analytics, and the expansion of open source and cloud platforms, metadata becomes even more necessary to handle the increasing variety and volume of data sets – but as its value grows, so do concerns about its use, since information is essential to a well-governed analytics organization. Should it be used defensively, protecting business processes, or used offensively, harnessing it to innovate?
Many organizations do not have effective strategies and tools to leverage metadata . And that is a mistake that results in more than half of an organization's structured data not being used to improve decision making and 99% of unstructured data not being used at all.
Metadata: defense or attack?
Metadata is not new, but as the volumes and varieties of data have grown, it has become more important.
For many, metadata is the linchpin of the data realm . It tells colombia number dataset what data exists, what it means, where it came from, and whether or not it is accurate. Metadata provides an understanding of how and where data can be accessed, and how information of different types and disparate sources can work together.
However, as its exploitation becomes more normalized, a concern is growing among those responsible for managing information: could proprietary metadata solutions lock away the keys to the data?
With the emergence of data lakes, the rise of self-service analytics, and the expansion of open source and cloud platforms, metadata becomes even more necessary to handle the increasing variety and volume of data sets – but as its value grows, so do concerns about its use, since information is essential to a well-governed analytics organization. Should it be used defensively, protecting business processes, or used offensively, harnessing it to innovate?