Data is a valuable commodity. It is important to focus on the technology of data as well as the governance. This interesting topic came to us from DATAVERSITY in their article, “Data Governance vs. Data Architecture.”
Data governance is a system of decision rights and accountabilities for information-related processes. It includes the processes and framework involved in managing the data assets. Organizations need to know how to define their data by understanding what“customer means within different departments and how it should be managed overall.
Many business intelligence and analytics projects focus on a limited data set within the organization. Many project stakeholders believe that governance within the framework of analytics is enough. Unfortunately, data governance should encompass all data assets across the organization to create a cohesive view of information and provide a way to manage inconsistencies and more importantly, potential data quality issues.
The important thing to remember is that data governance cannot be completed with technology alone.
Melody K. Smith
Sponsored by Access Innovations, the world leader in thesaurus, ontology, and taxonomy creation and metadata application.
