Data governance refers to the policies, controls, standards, decision rights / accountability, processes, procedures, and technologies organizations implement to maximize the value of data while minimizing risk.
Effective governance establishes clear roles and responsibilities for executive sponsorship and oversight, steering, data stewards and subject-matter experts; and it facilitates collaboration in order to ensure quality, security, and compliance. It creates standards for data acquisition, storage, integration, analytics, and more. The goals are to treat data as an asset, create common standards / definitions, reduce costs from duplications and errors, and provide trustworthy data that adds value to the organization. Overall, data governance helps align data management with business objectives, regulatory mandates, and stakeholder expectations. It provides the framework for optimal handling and utilization of data.
In our inaugural Data Governance Study we explore the growing importance and evolving requirements of establishing a governance organization and employing the various technologies and processes which enable organizations to fully leverage data as an asset, securely, and in adherence with established policies.You do not have permission to access this document. Make sure you are logged in and/or please contact Danielle with further questions.