8 Governance Workflows

Data governance represents the convergence of data quality, data management, data policies, business process management, and risk management surrounding the handling of information as an asset within the enterprise. Through data governance, organizations can exercise positive control over the processes and methods used by their data stewards and data custodians to handle data.

In Oracle Data Relationship Management, the Oracle Data Relationship Governance module addresses the governance challenge in two critical ways:

• It enables the organization to configure change request management processes that allow business users––in different lines of business, divisions, and functions––to contribute towards the creation, management, and automation of processes associated with authoring and managing changes to master data.

• It allows data stewards and custodians to identify issues related to data quality––missing, erroneous or non-standard information––and route them to stakeholders within the organization who are best able to fix or address the issues based on data access privileges.

Governance workflows enable data stewards to orchestrate the entry, validation, and approval of data changes using repeatable business processes which result in high quality data, policy compliance, user collaboration, and change awareness across the business community.