Creating and sustaining an enterprise-wide view of and easy access to underlying data about your data is a tall order, but it’s really important.
In fact, metadata management is key to wringing all the value possible from data assets because it answers a lot of important questions:
- What data do we have?
- Where did it come from?
- Where is it now?
- How has it changed since it was originally created or captured?
- Who is authorized to use it and how?
- Is it sensitive or are there any risks associated with it?
When approached manually, metadata management is expensive, time-consuming, error-prone and can’t keep pace with a dynamic enterprise data management infrastructure.
And while integrating and automating data management and data governance is still a new concept for many organizations, its advantages are clear.
Learn what they are and how to establish a foundation for agile and complete metadata management.
This new white paper also examines how to evaluate tools to automate and accelerate the speed to meaningful insights for better decision-making.
And it includes a case study on an international energy company that’s using metadata management and data governance to accomplish strategic goals, including but not limited to regulatory compliance.
